Week 47 (18 Nov - 24 Nov) - Part 1

AWS Application Load Balancer introduces Certificate Authority advertisement to simplify client behavior while using Mutual TLS

Published Date: 2024-11-22 22:55:00

Application Load balancer (ALB) now supports advertise Certificate Authority (CA) subject name stored in its associated Trust Store to simplify the certificate selection experience. By enabling this feature, the ALB will send a list of CA subject names to clients attempting to connect to the load balancer. Clients can use this list to identify which of their certificates will be accepted by the ALB, which reduces connection errors during mutual authentication. You can optionally configure the Advertise CA subject name feature using AWS APIs, AWS CLI, or the AWS Management Console. This feature is available for ALBs in all commercial AWS Regions, the AWS GovCloud (US) Regions and China Regions. To learn more, refer to the ALB documentation.

AWS Application Discovery Service now supports data from commercially available discovery tools

Published Date: 2024-11-22 22:50:00

Today, AWS announces additional file support for AWS Application Discovery Service (ADS), which adds the ability to import VMware data generated by 3rd-party datacentre tools. With today’s launch, you can now directly take an export from Dell Technology’s RVTools and load it into ADS without any file manipulation. ADS provides a system of record for configuration, performance, tags, network connections, and application grouping of your existing on-premises workloads. Now with the support for additional file formats, you have the option to kick off your migration journey using the data you already have. At any time later you have the option to deploy either ADS Discovery Agents or ADS Agentless Collectors and the data will automatically be merged into a unified view of your datacentre. These new capabilities are available in all AWS Regions where AWS Application Discovery Service is available. To learn more, please see the user guide for AWS Application Discovery Service. For more information on using the ADS import action via the AWS SDK or CLI, please see the API reference.

Amazon S3 Connector for PyTorch now supports Distributed Checkpoint

Published Date: 2024-11-22 22:45:00

Amazon S3 Connector for PyTorch now supports Distributed Checkpoint (DCP), improving the time to write checkpoints to Amazon S3. DCP is a PyTorch feature for saving and loading machine learning (ML) models from multiple training processes in parallel. PyTorch is an open source ML framework used to build and train ML models. Distributed training jobs often run for several hours or even days, and checkpoints are written frequently to improve fault tolerance. For example, jobs training large foundation models often run for several days and generate checkpoints that are hundreds of gigabytes in size. Using DCP with Amazon S3 Connector for PyTorch helps you reduce the time to write these large checkpoints to Amazon S3, keeping your compute resources utilized, ultimately resulting in lower compute cost. Amazon S3 Connector for PyTorch is an open source project. To get started, visit the GitHub page.

Amazon EC2 Auto Scaling introduces highly responsive scaling policies

Published Date: 2024-11-22 22:45:00

Today, we are launching two new capabilities to EC2 Auto Scaling (ASG) that improve the responsiveness of Target Tracking scaling policies. Target Tracking now automatically adapts to the unique usage patterns of your individual applications, and can be configured to monitor high-resolution CloudWatch metrics to make more timely scaling decisions. With this release, you can enhance your application performance, and also maintain high utilization for your EC2 resources to save costs. Scaling based on sub-minute CloudWatch metrics enables customers, with applications that have volatile demand patterns, like client-serving APIs, live streaming services, ecommerce websites, or on-demand data processing, reduce the time to detect and respond to changing demand. In addition, Target Tracking policies now self-tune their responsiveness, using historical usage data to determine the optimal balance between cost and performance for each application that saves customers’ time and effort. Both these new features are available in select commercial regions, and Target Tracking policies will begin self-tuning once they have completed analyzing your application’s usage patterns. You can use Amazon Management Console, CLI, SDKs, and CloudFormation to update your Target Tracking configurations. Refer EC2 Auto Scaling user guide to learn more.

Amazon OpenSearch Ingestion now supports writing security data to Amazon Security Lake

Published Date: 2024-11-22 22:30:00

Amazon OpenSearch Ingestion now allows you to write data into Amazon Security Lake in real-time, allowing you to ingest security data from both AWS and custom sources and uncover valuable insights into potential security issues in near-realtime. Amazon Security Lake centralizes security data from AWS environments, SaaS providers and on- premises into a purpose-built data lake. With this integration, customers can now seamlessly ingest and normalize security data from all popular custom sources before writing it into Amazon Security Lake. Amazon Security Lake uses the Open Cybersecurity Schema Framework (OCSF) to normalize and combine security data from a broad range of enterprise security data sources in the Apache Parquet format. With this feature, you can now use Amazon OpenSearch Ingestion to ingest and transform security data from popular 3rd party sources like Palo Alto, CrowdStrike, and SentinelOne into OCSF format before writing the data into Security Lake. Once the data is written to Security Lake, it is available in the AWS Glue Data Catalog and AWS Lake Formation tables for the respective source. This feature is available in all the 15 AWS commercial regions where Amazon OpenSearch Ingestion is currently available: US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California), Europe (Ireland), Europe (London), Europe (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Seoul), Canada (Central), South America (Sao Paulo), and Europe (Stockholm). To learn more, see the Amazon OpenSearch Ingestion webpage and the Amazon OpenSearch Service Developer Guide.

Find security, compliance, and operating metrics in AWS Resource Explorer

Published Date: 2024-11-22 22:30:00

Today, AWS announced the general availability of a new console experience in AWS Resource Explorer that centralizes resource insights and properties from AWS services. With this release, you now have a single console experience to use simple keyword-based search for your AWS resources, view relevant resource properties, and confidently take action to organize your resources. You can now inspect resource properties, resource-level cost with AWS Cost Explorer, AWS Security Hub findings, AWS Config compliance and configuration history, event timelines with AWS CloudTrail, and a relationship graph showing connected resources. You can also take actions on resources directly from the Resource Explorer console, such as manage tags, add resources to applications, and get additional information about a resource with Amazon Q. For example, now you can use Resource Explorer to search for untagged AWS Lambda functions, inspect the properties and tags of a specific function, examine a relationship graph to see what other resources it is connected to, and tag the function accordingly – all from a single console. Resource Explorer is available at no additional charge, though features such as compliance information and configuration history require use of AWS Config, which is charged separately. These features are available in all AWS Regions where Resource Explorer is generally available. For more information on Resource Explorer, please visit our documentation. To learn more about how to configure Resource Explorer for your organization, view our multi-account search getting started guide.

Amazon QuickSight launches Highcharts visual (preview)

Published Date: 2024-11-22 22:15:00

Amazon QuickSight now offers Highcharts visuals, enabling authors to create custom visualizations using the Highcharts Core library. This new feature extends your visualization capabilities beyond QuickSight's standard chart offerings, allowing you to create bespoke charts such as sunburst charts, network graphs, 3D charts and many more. Using declarative JSON syntax , authors can configure charts with greater flexibility and granular customization. You can easily reference QuickSight fields and themes in the JSON using QuickSight expressions. The integrated code editor includes contextual assistance features, providing autocomplete and real-time validation to ensure proper configuration. To maintain security, the Highcharts visual editor prevents the injection of CSS and JavaScript. Refer documentation for supported list of JSON and QuickSight expressions Highcharts visual is now available in all supported Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm, Zurich), South America (São Paulo) and AWS GovCloud (US-West). To learn more about the Highcharts visual and how to leverage its capabilities in your QuickSight dashboards, visit our documentation.

Amazon QuickSight now supports import visual capability (preview)

Published Date: 2024-11-22 22:15:00

Amazon QuickSight introduces the ability to import visuals from an existing dashboard or analysis into your current analysis where authors have ownership privileges. This feature streamlines dashboard and report creation by allowing you to transfer associated dependencies such as datasets, parameters, calculated fields, filter definitions, and visual properties, including conditional formatting rules. Authors can boost productivity by importing visuals instead of recreating them, facilitating collaboration across teams. The feature intelligently resolves conflicts, eliminates duplicates, rescopes filter definitions, and adjusts visuals to match the destination sheet type and theme. Imported visuals are forked from the source, ensuring independent customization. To learn more, click here. The Import Visuals feature is available in all supported Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm, Zurich), South America (São Paulo) and AWS GovCloud (US-West).

Amazon QuickSight launches Layer Map

Published Date: 2024-11-22 22:05:00

Amazon QuickSight launches Layer Map, a new geospatial visual with shape layer support. With Layer Maps you can visualize data using custom geographic boundaries, such as congressional districts, sales territories, or user-defined regions. For example, sales managers can visualize sales performance by custom sales territories, and operations analysts can map package delivery volumes across different zip code formats (zip 2, zip 3). Authors can add shape layer over a base map by uploading GeoJSON file and join it with their data to visualize values. You can also style shape layer by adjusting color, border, and opacity, as well as add interactivity through tooltips and actions. To learn more, click here. Layer map is now available in following Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm, Zurich), South America (São Paulo).

Amazon QuickSight launches Image component

Published Date: 2024-11-22 22:05:00

Amazon QuickSight now includes Image Component. This provides authors greater flexibility to incorporate static images into their QuickSight dashboards, analysis, reports and stories. With Image component, Authors can upload images directly from your local desktop to QuickSight for a variety of use cases, such as adding company logos and branding, including background images with free-form layout, and creating captivating story covers. It also supports tooltip and alt text, providing additional context and accessibility for readers. Furthermore, it offers navigation and URL actions, enabling authors to make their images interactive, such as triggering specific dashboard actions when the image is clicked. For more details refer to documentation . Image component is now available in all supported Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm, Zurich), South America (São Paulo) and AWS GovCloud (US-West).

AWS Lambda announces Provisioned Mode for Kafka event source mappings (ESMs)

Published Date: 2024-11-22 22:00:00

AWS Lambda announces Provisioned Mode for event source mappings (ESMs) that subscribe to Apache Kafka event sources, a feature that allows you to optimize the throughput of your Kafka ESM by provisioning event polling resources that remain ready to handle sudden spikes in traffic. Provisioned Mode helps you build highly responsive and scalable event-driven Kafka applications with stringent performance requirements. Customers building streaming data applications often use Kafka as an event source for Lambda functions, and use Lambda's fully-managed MSK ESM or self-managed Kafka ESM, which automatically scale polling resources in response to events. However, for event-driven Kafka applications that need to handle unpredictable bursts of traffic, lack of control over the throughput of ESM can lead to delays in your users’ experience. Provisioned Mode for Kafka ESM allows you to fine-tune the throughput of the ESM by provisioning and auto-scaling between a minimum and maximum number of polling resources called event pollers, and is ideal for real-time applications with stringent performance requirements. This feature is generally available in all AWS Commercial Regions where AWS Lambda is available, except Israel (Tel Aviv), Asia Pacific (Malaysia), and Canada West (Calgary). You can activate Provisioned Mode for MSK ESM or self-managed Kafka ESM by configuring a minimum and maximum number of event pollers in the ESM API, AWS Console, AWS CLI, AWS SDK, AWS CloudFormation, and AWS SAM. You pay for the usage of event pollers, along a billing unit called Event Poller Unit (EPU). To learn more, read Lambda ESM documentation and AWS Lambda pricing.

AWS Application Discovery Service adds integration with AWS Application Migration Service

Published Date: 2024-11-22 21:55:00

Today AWS announces an integration between AWS Application Discovery Service (ADS) and AWS Application Migration Service (MGN), which allows data collected about your on-premises workloads to directly feed into your migration execution plan. This new capability provides a one-click export of the on-premises server configuration, tags, application grouping, and Amazon EC2 recommendations gathered during planning in a format supported by MGN. ADS provides a system of record for configuration, performance, tags, and application groupings of your existing on-premises workloads. Now when using the Amazon EC2 instance recommendations feature, you also are provided an MGN-ready inventory file. This file can then be directly imported into MGN, removing the need to rediscover your workloads. This new no-cost capability is available in all AWS Regions where AWS Application Discovery Service is available. To learn more, please see the user guides for AWS Application Discovery Service and AWS Application Migration Service.  

Amazon Q Business now available as browser extension

Published Date: 2024-11-22 21:00:00

Today, Amazon Web Services announces the general availability of Amazon Q Business browser extensions for Google Chrome, Mozilla Firefox, and Microsoft Edge. Users can now supercharge their browsers’ intelligence and receive context-aware, generative AI assistance, making it easy to get on-the-go help for their daily tasks. The Amazon Q Business browser extension makes it easy for users to summarize web pages, ask questions about web content or uploaded files, and leverage large language model knowledge directly within their browser. With the browser extension, users can maximize reading productivity, streamline their research and analysis of complex information, and get instant help when creating content. The Amazon Q Business browser extension is now available in the following AWS Regions: US East (N. Virginia), US East (Ohio), US West (N. California), and US West (Oregon). Learn how to boost your productivity with AI-powered assistance within your browser by visiting the Amazon Q Business product page and the Amazon Q Business documentation site.

Application Signals provides OTEL support via X-Ray OTLP endpoint for traces

Published Date: 2024-11-22 20:30:00

CloudWatch Application Signals, an application performance monitoring (APM) solution, enables developers and operators to easily monitor the health and performance of their applications hosted across different compute platforms such as EKS, ECS and more. Customers can now use OpenTelemetry Protocol (OTLP), an open-source protocol, to send traces to the X-Ray OTLP endpoint, and unlock application performance monitoring capabilities with Application Signals. OpenTelemetry Protocol (OTLP) is a standardized protocol for transmitting telemetry data from your applications to monitoring solutions like CloudWatch. Developers who use OpenTelemetry to instrument their applications can now send traces to the X-Ray OTLP endpoint, unlocking, via Application Signals, pre-built, standardized dashboards for critical application metrics (throughput/latency/errors), correlated trace spans, and interactions between applications and its dependencies (such as other AWS services). This provides operators with a complete picture of the application's health, allowing them to pinpoint the source of performance issues. By creating Service Level Objectives (SLOs) within Application Signals, customers can track performance indicators of crucial application functions. This makes it simple to spot and address any operations falling short of their business goals. Finally, customers can also analyze application issues in business context such as troubleshoot customer support tickets or find top customers impacted due to application disruptions by searching and analyzing transaction (or trace) spans. OTLP endpoint for traces is available in all regions where Application Signals is generally available. For pricing, see Amazon CloudWatch pricing. See documentation to learn more.

Amazon Q Developer Chat Customizations is now generally available

Published Date: 2024-11-22 20:25:00

Today, Amazon Web Services (AWS) is excited to announce the general availability of customizable chat responses generated by Amazon Q Developer in the IDE. With this capability, you can securely connect Q Developer to your private codebases to receive more precise chat responses that take into account your organization’s internal APIs, libraries, classes, and methods. Readmes and best practices demonstrated within your code repositories are also utilized within your customization. You can use a customized version of Q Developer chat in the IDE to ask questions about how your internal codebase is structured, and where and how certain functions or libraries are used. With these capabilities, Q Developer can boost productivity by reducing the time builders spend examining previously written code and deciphering internal APIs, documentation, and other resources. To get started, you first need to add your organization’s private repositories to Q Developer through the AWS Management Console, and then create and activate your customization. You can easily manage access to a customization from the AWS Management Console so that only specific developers have access. Each customization is isolated from other customers, and none of the customizations built with these new capabilities will be used to train the foundation models underlying Q Developer. These capabilities are available as part of the Amazon Q Developer Pro subscription. To learn more about pricing, please visit Amazon Q Developer Pricing. To learn more, see the Amazon Q Developer webpage.  

Announcing AWS STS support for ECDSA-based signatures of OIDC tokens

Published Date: 2024-11-22 20:15:00

Today, AWS Security Token Service (STS) is announcing support for digitally signing OpenID Connect (OIDC) JSON Web Tokens (JWTs) using Elliptic Curve Digital Signature Algorithm (ECDSA) keys. A digital signature guarantees the JWT’s authenticity and integrity and ECDSA is a popular, NIST-approved digital signature algorithm. When your identity provider (IdP) authenticates a user, it crafts a signed OIDC JWT representing that user’s identity. When your authenticated user calls the AssumeRoleWithWebIdentity API and passes their OIDC JWT, STS vends short-term credentials that enable access to your protected AWS resources. You now have a choice between using RSA and ECDSA keys when your IdP digitally signs an OIDC JWT. To begin using ECDSA keys with your OIDC IdP, update your IdP’s JWKS document with the new key information. No change to your AWS Identity and Access Management (IAM) configuration is needed to use ECDSA-based signatures of your OIDC JWTs. Support for ECDSA-based signatures of OIDC JWTs is available in all AWS Regions, including the AWS GovCloud (US) Regions . To learn more about using OIDC to authenticate your users and workloads, please visit OIDC Federation in the IAM Users Guide.

Smartsheet connector for Amazon Q Business is now generally available

Published Date: 2024-11-22 20:05:00

Today, AWS announces the general availability of the Smartsheet connector for Amazon Q Business. Smartsheet is a modern enterprise work management platform. This connector makes it easy to synchronize data from your Smartsheet instance with your Amazon Q Business index. When implemented, your employees can use Amazon Q Business to query their intelligent assistant on information about their Smartsheet projects and tasks. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. The over 40 connectors supported by Amazon Q Business can be scheduled to automatically sync your index with your selected data sources, so you're always securely searching through the most updated content. To learn more about Amazon Q Business and its integration with Smartsheet, visit our Amazon Q Business connectors webpage and documentation. The new connector with Smartsheet is available in all AWS Regions where Amazon Q Business is available.

Amazon Bedrock Model Evaluation now available in Asia Pacific (Seoul)

Published Date: 2024-11-22 20:05:00

Model Evaluation on Amazon Bedrock allows you to evaluate, compare, and select the best foundation models for your use case. Amazon Bedrock offers a choice of automatic evaluation and human evaluation. You can use automatic evaluation with predefined algorithms for metrics such as accuracy, robustness, and toxicity. Additionally, for those metrics or subjective and custom metrics, such as friendliness, style, and alignment to brand voice, you can set up a human evaluation workflow with a few clicks. Human evaluation workflows can leverage your own employees or an AWS-managed team as reviewers. Model evaluation provides built-in curated datasets or you can bring your own datasets. Now, customers can evaluate models in the Asia Pacific (Seoul) region. Model Evaluation on Amazon Bedrock is now Generally Available in these commercial regions and the AWS GovCloud (US-West) Region. To learn more about Model Evaluation on Amazon Bedrock, see the Amazon Bedrock developer experience web page. To get started, sign in to Amazon Bedrock on the AWS Management Console or use the Amazon Bedrock APIs.  

AWS Systems Manager now support Windows Server 2025, Ubuntu Server 24.04, and Ubuntu Server 24.10

Published Date: 2024-11-22 19:55:00

AWS Systems Manager now supports instances running Windows Server 2025, Ubuntu Server 24.04, and Ubuntu Server 24.10. Systems Manager customers running these operating systems versions now have access to all AWS Systems Manager Node Management capabilities, including Fleet Manager, Compliance, Inventory, Hybrid Activations, Session Manager, Run Command, State Manager, Patch Manager, and Distributor. For a full list of supported operating systems and machine types for AWS Systems Manager, see the user guide. Patch Manager enables you to automatically patch instances with both security-related and other types of updates across your infrastructure for a variety of common operating systems, including Windows Server, Amazon Linux, and Red Hat Enterprise Linux (RHEL). For a full list of supported operating systems for AWS Systems Manager Patch Manager, see the Patch Manager prerequisites user guide page. This feature is available in all AWS Regions where AWS Systems Manager is available. For more information, visit the Systems Manager product page and Systems Manager documentation.  

SES Mail Manager adds delivery of email to Amazon Q Business applications

Published Date: 2024-11-22 19:30:00

SES announces that Mail Manager now has a rule action for “Deliver to Q Business” which allows customers to specify an Amazon Q Business application resource and submit email messages to it for indexing and queries. This simplifies setup and allows granular control of which messages are selected by the rule conditions, as well as enabling multiple parallel configurations if customers want to index different messages into separate Q Business applications entirely. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Customers submitting email content will be able to identify patterns of discussion, activities around specific themes, and other content which is not an explicit cybersecurity attack but may still be of interest to managers, risk officers, or compliance teams. Mail Manager and Q Business offer an additional dimension for email risk management, with full flexibility around which messages are retained, in which locations, and for what duration. The Mail Manager rule action to deliver to Amazon Q Business is available in all AWS commercial Regions where both Q Business and Mail Manager are already available. To learn more about Mail Manager, click here.

Announcing Provisioned Timestream Compute Units (TCUs) for Amazon Timestream for LiveAnalytics

Published Date: 2024-11-22 19:25:00

Today, Amazon Timestream for Live Analytics announces the launch of Provisioned Timestream Compute Units (TCUs), a new feature that allows you to provision dedicated compute resources for your queries, providing predictable and cost-effective query performance. Amazon Timestream for LiveAnalytics is a serverless time-series database that automatically scales to ingest and analyze gigabytes of time-series data and Provisioned TCUs provide an additional layer of control and flexibility for your query workloads. With Provisioned TCUs, you can provision dedicated compute resources for your queries, guaranteeing consistent performance and predictable costs. As your workload evolves, you can easily adjust compute resources to maintain optimal performance and cost control, and accurately allocate resources to match your query needs. To get started with Provisioned TCUs, use the Amazon Timestream for Live Analytics console, AWS SDK, or CLI to provision the desired number of TCUs for your account. You can provision TCUs in multiples of 4, with a minimum of 4 TCUs and a maximum of 1000 TCUs. Provisioning Timestream Compute Units is currently supported in Asia Pacific (Mumbai) only. To learn more about pricing, visit the Amazon Timestream for Live Analytics pricing page. For more information about Provisioned TCUs, see the Amazon Timestream for Live Analytics Developer Guide.

Amazon Connect Contact Lens generative AI-powered post contact summarization is now available in 5 new regions

Published Date: 2024-11-22 19:00:00

Amazon Connect Contact Lens generative AI-powered post contact summarization is now available in Europe (London), Canada (Central), Asia Pacific (Sydney), Asia Pacific (Tokyo), and Asia Pacific (Singapore) AWS regions, which summarize long customer conversations into succinct, coherent, and context rich contact summaries (e.g., “The customer didn’t receive a reimbursement for a last minute flight cancellation and the agent didn’t offer a partial reimbursement as per the SOP”). Agents can access post-contact summaries within seconds after a customer contact call complete to quickly complete their after contact work. This also helps supervisors improve the customer experience by getting faster insights when reviewing contacts, saving time on quality and compliance reviews, and more quickly identifying opportunities to improve agent performance. With this launch, Contact Lens generative AI-powered post contact summarization is available in 7 AWS regions, including the 5 new regions and the existing US East (N. Virginia), US West (Oregon) regions. To learn more, please visit our documentation and our webpage. This feature is included with Contact Lens conversational analytics at no additional charge. For information about Contact Lens pricing, please visit our pricing page.

Announcing features to favorite applications and quickly access your recently used applications

Published Date: 2024-11-22 18:45:00

Today, we’re excited to launch application favoriting and quick access features in the AWS Management Console. Now you can pin your most-used applications as favorites and quickly return to recently visited applications. Customers can easily designate favorite applications with a single click, and sort your most important applications, bringing favorites to the top of your list. Recently visited applications can now be accessed in the Recently Visited widget on Console Home, streamlining your workflow and reducing the time spent searching for frequently used resources. You can also access favorites, recently visited, and a list of all applications in the Services menu in the navigation bar from anywhere in the AWS Console. These new features are available in all public AWS Regions. To start using recently visited and favorited applications, visit the Applications widget on Console Home by signing into the AWS Management Console and use the star icon to designate favorite applications.

Announcing the Quantum Embark advisory program for customers new to quantum computing

Published Date: 2024-11-22 18:30:00

AWS announces Quantum Embark, a new program aimed at getting customers ready for quantum computing by providing an expert-led approach as they begin their quantum computing journey. With this program, customers can explore the value of quantum computing for their business, understand the pace of development of the technology, and prepare for its impact. Quantum Embark is designed to cut through the hype and focus on actionable outcomes. Quantum computing has the potential to revolutionize industries by solving problems that are beyond the ability of even the most powerful computers. However, to get buy-in from internal stakeholders and establish a long-term quantum roadmap, customers need trustworthy guidance specific to their most important use cases. Quantum Embark is a program of advisory services consisting of three modules: (1) Use Case Discovery, which focuses on the most tangible opportunities; (2) Technical Enablement, where users get hands-on experience with quantum computing via Amazon Braket; and (3) Deep Dive, which deepens customers’ understanding of mapping quantum algorithms to target applications identified in the Use Case Discovery module. Upon completion, customers have a reusable runbook consisting of recommended tooling, a projected roadmap and documentation to engage leadership and line of business teams for target application areas. With Quantum Embark, you only pay for the modules you choose with no long-term commitments. Check out our blog to learn how some customers are already getting value out of this program. Visit the Braket console or contact your AWS Account Team to get started.

Amazon Bedrock Flows is now generally available with two new capabilities

Published Date: 2024-11-22 18:15:00

Today, we’re announcing the general availability of Amazon Bedrock Flows, previously known as Prompt Flows, and adding two key new capabilities. Bedrock Flows enables you to link the latest foundation models, Prompts, Agents, Knowledge Base and other AWS services together in an intuitive visual builder to accelerate the creation and execution of generative AI workflows. Bedrock Flows now also provides real-time visibility into workflow execution and safeguards with Amazon Bedrock Guardrails. Authoring multi-step generative AI workflows is an iterative, time-consuming process, and requires manually adding output nodes to each step to validate the flow execution. With Bedrock Flows, you can now view the input and output of each step from the test window to quickly validate and debug the flow execution in real-time. You can also configure Amazon Bedrock Runtime API InvokeFlow to publish trace events to track the flow execution programmatically. Next, to safeguard your workflows from potential harmful content, you can attach Bedrock Guardrails for Prompt and Knowledge Base nodes directly in the Flows builder. This seamless integration allows you to block unwanted topics, and filter out harmful content, or sensitive information in the flows. Bedrock Flows with the new capabilities are now generally available in all regions that Amazon Bedrock is available except for GovCloud regions. For pricing, visit the Amazon Bedrock Pricing page. To get started, see the following list of resources:

1. Video demo
2. Blog post
3. AWS user guide

Announcing Cross Account Data Store Read Access for AWS HealthOmics

Published Date: 2024-11-22 18:00:00

We are excited to announce that AWS HealthOmics sequence stores now support cross account read access to simplify data sharing and tool integration. AWS HealthOmics is a fully managed service that empowers healthcare and life science organizations to store, query, analyze omics data to generate insights to improve health and drive scientific discoveries. With this release, customers can enable secure data sharing with partners, while maintaining auditability and compliance frameworks. Cross account reading for S3 API enables customers to write resource policies to manage sharing and restrict data reading based on their needs. Through the use of tag propagation and tag-based access control, users can create policies that share read access beyond their account while having a scalable mechanism to granularly restrict files based on their compliance structures. In addition, S3 access logs can be used to audit and validate access ensuring the data customers manage remains properly controlled. Cross account S3 API access is now supported in all regions where AWS HealthOmics is available: US East (N. Virginia), US West (Oregon), Europe (Frankfurt, Ireland, London), Asia Pacific (Singapore), and Israel (Tel Aviv). To get started, see the AWS HealthOmics documentation.  

Amazon QuickSight now supports font customization for visuals

Published Date: 2024-11-22 18:00:00

Amazon QuickSight now supports the ability to customize fonts across specific visuals. Authors can now completely customize fonts for Table and Pivot table, while for remaining visuals they can customize fonts for specific properties including title, subtitle, legends title and legends values. Authors can set the font size(in pixels), font family, color, and styling options like bold, italics, and underline across analysis, including dashboard, reports and embedded scenarios. With this update, you can align the dashboard's fonts with your organization's branding guidelines, creating a cohesive and visually appealing experience. Additionally, the font customization options can help improve the readability and meet accessibility standards, especially when viewing visuals on a large screen. Font customization for above listed visuals is now available in all supported Amazon QuickSight regions - US East (Ohio and N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Jakarta, Mumbai, Seoul, Singapore, Sydney and Tokyo), Canada (Central), Europe (Frankfurt, Ireland, London, Milan, Paris, Stockholm, Zurich), South America (São Paulo) and AWS GovCloud (US-West).  

Announcing new feature tiers: Essentials and Plus for Amazon Cognito

Published Date: 2024-11-22 18:00:00

Amazon Cognito launches new user pool feature tiers: Essentials and Plus. The Essentials tier offers comprehensive and flexible user authentication and access control features, allowing customers to implement secure, scalable, and customized sign-up and sign-in experiences for their application within minutes. It supports password-based log-in, multi-factor authentication (email, SMS, TOTP), and log-in with social identity providers, along with recently announced Managed Login and passwordless log-in (passkeys, email, SMS) features. Essentials also supports customizing access tokens and disallowing password reuse. The Plus tier is geared toward customers with elevated security needs for their applications by offering threat protection capabilities against suspicious log-ins. Plus includes all Essentials features and additionally supports risk-based adaptive authentication, compromised credentials detection, and exporting user authentication event logs to analyze threat signals. Essentials will be the default tier for new users pools created by customers. Customers also have the flexibility to switch between all available tiers anytime based on their application needs. For existing user pools, customers can enable the new tiers or continue using their current user pool configurations without making any changes. Customers using advanced security features (ASF) in Amazon Cognito should consider the Plus tier, which includes all ASF capabilities, additional capabilities such as passwordless log-in, and up to 60% savings compared to using ASF. The Essentials and Plus tiers are available at new pricing. Essentials and Plus are available in all AWS Regions where Amazon Cognito is available except AWS GovCloud (US) Regions. To learn more, refer to:

• AWS News Blog
• Documentation

Amazon Cognito introduces Managed Login to support rich branding for end user journeys

Published Date: 2024-11-22 18:00:00

Amazon Cognito introduces Managed Login, a fully-managed, hosted sign-in and sign-up experience that customers can personalize to align with their company or application branding. Amazon Cognito provides millions of users with secure, scalable, and customizable sign-up and sign-in experiences. With Managed Login, Cognito customers can now use its no-code visual editor to customize the look and feel of the user journey from signup and login to password recovery and multi-factor authentication. Managed Login helps customers offload the undifferentiated heavy lifting of designing and maintaining custom implementations such as passwordless authentication and localization. For example, Managed Login offers pre-built integrations for passwordless login, including sign-in with passkeys, email, or text message. This provides customers the flexibility to implement low-friction and secure authentication methods without the need to author custom code. With Managed Login, customers now design and manage their end-user sign-up and sign-in experience through the AWS Management Console. Additionally, Cognito has also revamped its getting started experience with application-specific (e.g., for web applications) guidance for customers to swiftly configure their user pools. Together with Managed Login and a simplified getting started experience, customers can now get their applications to end users faster than ever before with Amazon Cognito. Managed Login is offered as part of the Cognito Essentials tier and can be used in all AWS Regions where Amazon Cognito is available except the AWS GovCloud (US) Regions. To get started, refer to:

• Pricing Detail Page
• AWS News Blog
• Developer Guide

Cross-zone enabled Application Load Balancer now supports zonal shift and zonal autoshift

Published Date: 2024-11-22 18:00:00

AWS Application Load Balancer (ALB) now supports Amazon Application Recovery Controller’s zonal shift and zonal autoshift features on load balancers that are enabled across zones. Zonal shift allows you to quickly shift traffic away from an impaired Availability Zone (AZ) and recover from events such as bad application deployment and gray failures. Zonal autoshift safely and automatically shifts your traffic away from an AZ when AWS identifies potential impact to it. Enabling cross-zone on ALBs is a popular configuration for customers that require an even distribution of traffic across application targets in multiple AZs. With this launch, customers can shift traffic away from an AZ in the event of a failure just like they are able to for cross-zone disabled load balancers. When zonal shift or autoshift is triggered, the ALB will block all traffic to targets in the AZ that is impacted and remove the zonal IP from DNS. You can configure this feature in two steps: First, enable configuration to allow zonal shift to act on your load balancer(s) using the ALB console or API. Second, trigger zonal shift or enable zonal autoshift for the chosen ALBs via Amazon Application Recovery Controller console or API. Zonal shift and zonal autoshift support on ALB is available in all commercial AWS Regions, including the AWS GovCloud (US) Regions. To learn more, please refer to the ALB zonal shift documentation.

Amazon Cognito now supports passwordless authentication for low-friction and secure logins

Published Date: 2024-11-22 18:00:00

Amazon Cognito now allows you to secure user access to your applications with passwordless authentication, including sign-in with passkeys, email, and text message. Passkeys are based on FIDO standards and use public key cryptography, which enables strong, phishing-resistant authentication. With passwordless authentication, you can reduce the friction associated with traditional password-based authentication and thus simplify the user log-in experience for their applications. For example, if your users choose to use passkeys to log in, they can do so using a built-in authenticator, such as Touch ID on Apple MacBooks and Windows Hello facial recognition on PCs. Amazon Cognito provides millions of users with secure, scalable, and customizable sign-up and sign-in experiences within minutes. With this launch, AWS is now extending the support for passwordless authentication to the applications you build. This enables your end-users to log in to your applications with a low-friction and secure approach. Passwordless authentication is offered as part of the Cognito Essentials tier and can be used in all AWS Regions where Amazon Cognito is available except the AWS GovCloud (US) Regions. To get started, see the following resources:

• Pricing Detail Page
• AWS News Blog
• Developer Guide

Amazon Bedrock Knowledge Bases now supports binary vector embeddings to build RAG applications

Published Date: 2024-11-22 18:00:00

Amazon Bedrock Knowledge Bases now supports binary vector embeddings for building Retrieval Augmented Generation (RAG) applications. This feature is available with Titan Text Embeddings V2 model and Cohere Embed models. Amazon Bedrock Knowledge Bases offers fully-managed RAG workflows to create highly accurate, low latency, secure and customizable retrieval-augmented-generation (RAG) applications by incorporating contextual information from an organization's data sources. Binary vector embeddings represent document embeddings as binary vectors, with each dimension encoded as a single binary digit (0 or 1). Binary embeddings in RAG applications offer significant benefits in storage efficiency, computational speed, and scalability. They are particularly useful for large-scale information retrieval, resource-constrained environments, and real-time applications. This new capability is currently supported with Amazon OpenSearch Serverless as vector store. It is supported in all Amazon Bedrock Knowledge Bases regions where Amazon Opensearch Serverless and Amazon Titan Text Embeddings V2 or Cohere Embed are available. For more information, please refer to the documentation.

Amazon Application Recovery Controller zonal shift and zonal autoshift support Application Load Balancers

Published Date: 2024-11-22 18:00:00

Amazon Application Recovery Controller (ARC) zonal shift and zonal autoshift have expanded their capabilities and now support Application Load Balancers (ALB) with cross-zone configuration enabled. ARC zonal shift helps you quickly recover an unhealthy application in an Availability Zone (AZ), and reduce the duration and severity of impact to the application due to events such as power outages and hardware or software failures. ARC zonal autoshift safely and automatically shifts your application’s traffic away from an AZ when AWS identifies a potential failure affecting that AZ. All ALB customers with cross-zone enabled load balancers can now shift traffic away from an AZ in the event of a failure. Zonal shift works with ALB by blocking all traffic to targets in the impaired AZ and removing the zonal IP from DNS. You need to first enable your ALBs for zonal shift using the ALB console or API, and then trigger a zonal shift or enabled autoshift via ARC zonal shift console or API. Read this launch blog to see how zonal shift can be used with ALB. Zonal shift and zonal autoshift support for ALB with cross-zone configuration enabled is now available in all commercial AWS Regions and the AWS GovCloud (US) Regions. There is no additional charge for using zonal shift or zonal autoshift. To get started, visit the product page or read the documentation.

Announcing generative AI troubleshooting for Apache Spark in AWS Glue (Preview)

Published Date: 2024-11-22 18:00:00

AWS Glue announces generative AI troubleshooting for Apache Spark, a new capability that helps data engineers and scientists quickly identify and resolve issues in their Spark jobs. Spark Troubleshooting uses machine learning and generative AI technologies to provide automated root cause analysis for Spark job issues, along with actionable recommendations to fix identified issues. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning, and application development. With Spark troubleshooting, you can initiate automated analysis of failed jobs with a single click in the AWS Glue console. This feature provides root cause analysis and remediation steps for hard-to-diagnose Spark issues like memory errors, data skew problems, and resource not found exceptions. This helps you reduce downtime in critical data pipelines. Powered by Amazon Bedrock, Spark troubleshooting reduces debugging time from days to minutes. The generative AI troubleshooting for Apache Spark preview is available for jobs running on AWS Glue 4.0, and in the following AWS Regions: US East (N. Virginia), US West (Oregon), Europe (Ireland), US East (Ohio), and more. To learn more, visit the AWS Glue website, read the Launch blog, or read the documentation.  

Amazon Q Business introduces ability to reuse recently uploaded files in a conversation

Published Date: 2024-11-22 18:00:00

Amazon Q Business is a fully managed, generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. Users can upload files and Amazon Q can help summarize or answers about the files. Starting today, users can drag and drop files to upload and reuse any recently uploaded files in new conversations without uploading the files again. With the recent documents list, users save time searching and re-uploading frequently used files to Amazon Q Business. The list is only viewable by the individual who uploaded the file and they can clear the cached list by deleting the conversation in which the file was used. Along with the recent documents list, users can now drag and drop files they want upload directly into any conversation inside Amazon Q Business. The ability to attach from recent files is available in all AWS Regions where Amazon Q Business is available. You can enable attach from recent files for your team by following steps in the AWS Documentation. To learn more about Amazon Q Business, visit the Amazon Q homepage.

AWS Announces Amazon Q account resources chat in the AWS Console Mobile App

Published Date: 2024-11-22 18:00:00

Today, Amazon Web Services (AWS) is announcing the general availability of Amazon Q Developer’s AWS account resources chat capability in the AWS Console Mobile Application. With this capability, you can use your device’s voice input and output capabilities along with natural language prompts to list resources in your AWS account, get specific resource details, and ask about related resources while on-the-go.

From the Amazon Q tab in the AWS Console Mobile App, you can ask Q to “list my running EC2 instances in us-east-1” or “list my S3 buckets” and Amazon Q returns a list of resource details, along with a summary. You can ask “what Amazon EC2 instances is Amazon CloudWatch alarm <name> monitoring” or ask “what related resources does my ec2 instance <id> have?” and Amazon Q will respond with specific resource details in a mobile friendly format. The Console Mobile App lets users view and manage a select set of resources to stay informed and connected with their AWS resources while on-the-go. Visit the product page for more information about the Console Mobile Application.  

Amazon Q Business now supports integrations to Asana in (Preview)

Published Date: 2024-11-22 18:00:00

Amazon Q Business now supports, in preview, a connector to Asana, a leading enterprise work management platform. This managed connector makes it easy for Amazon Q Business users to synchronize data from their Asana instance with their Amazon Q index. When connected, Amazon Q Business can help users answer questions and generate summaries with context from Asana projects. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. The over 40 connectors supported by Amazon Q Business can be scheduled to automatically sync your index with your selected data sources, so you're always securely searching through the most up-to-date content. To learn more about Amazon Q Business and its integration with Asana and Google Calendar visit the Amazon Q Business connectors page here These new connector are available in all AWS Regions where Amazon Q Business is available.  

Amazon EC2 introduces provisioning control to launch instances on On-Demand Capacity

Published Date: 2024-11-22 18:00:00

Amazon EC2 introduces a new capability that makes it easy for customers to target instance launches on their On-Demand Capacity Reservations (ODCRs). On-Demand Capacity Reservations help you reserve compute capacity for your workloads in a specific Availability Zone for any duration. This new feature allows you to better utilize your On-Demand Capacity Reservations by ensuring that launches from the RunInstances EC2 API and EC2 Auto Scaling groups will only be fulfilled by your targeted or open Capacity Reservations. To get started, customers simply specify they if want to only launch on ODCR capacity on either their RunInstances EC2 API, Launch Templates, or Auto-Scaling Groups (ASGs). This capability is now available in all AWS Regions, except China regions. To get started, please refer to the documentation for use with RunInstances API and ASG.  

AWS Shield Advanced is now available in Asia Pacific (Malaysia) Region

Published Date: 2024-11-22 18:00:00

Starting today, you can use AWS Shield Advanced in the AWS Asia Pacific (Malaysia) Region. AWS Shield Advanced is a managed application security service that safeguards applications running on AWS from distributed denial of service (DDoS) attacks. Shield Advanced provides always-on detection and automatic inline mitigations that minimize application downtime and latency from DDoS attacks. Also, it provides protections against more sophisticated and larger attacks for your applications running on Amazon Elastic Compute Cloud (EC2), Amazon Elastic Load Balancing (ELB), Amazon CloudFront, AWS Global Accelerator, and Amazon Route 53. To learn more visit, the AWS Shield Advanced product page. For a full list of AWS regions where AWS Shield Advanced is available, visit the AWS Regional Services page. AWS Shield Advanced pricing may vary between regions. For more information about pricing, visit the AWS Shield Pricing page.  

Amazon Q Business now supports an integration to Google Calendar in (Preview)

Published Date: 2024-11-22 18:00:00

Amazon Q Business now supports a connector to Google Calendar. This expands Amazon Q Business’s support of Google Workspace to include Google Drive, Gmail, and now Google Calendar. Each managed connectors makes it easy to synchronize your data with your Amazon Q index. Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. It empowers employees to be more creative, data-driven, efficient, prepared, and productive. The over 40 connectors supported by Amazon Q Business can be scheduled to automatically sync your index with your selected data sources, so you're always securely searching through the most up-to-date content. To learn more about Amazon Q Business and its integration with Asana and Google Calendar visit the Amazon Q Business connectors page here. These new connector are available in all AWS Regions where Amazon Q Business is available.  

Announcing general availability of AWS Chatbot SDK

Published Date: 2024-11-22 18:00:00

AWS announces general availability of AWS Chatbot SDKs. This launch provides developers access to AWS Chatbot’s control plane APIs by using the AWS SDK. With this launch, customers can programmatically implement ChatOps workflows in their chat channels. They can now utilize the SDK to configure Microsoft Teams and Slack channels for monitoring and diagnosing issues. They can use SDK to configure action buttons and command aliases so that channel members can fetch telemetry and diagnose issues quickly. They can also programmatically tag resources to enforce tag-based controls in their environments. AWS Chatbot SDKs are available at no additional cost in AWS Regions where AWS Chatbot is offered. Visit the AWS Chatbot product page and API guide in AWS Chatbot documentation to learn more.  

Amazon Connect now provides granular disconnect reasons for chats

Published Date: 2024-11-22 18:00:00

The Amazon Connect contact record now includes granular disconnect reasons for chats, enabling you to improve and personalize customer experiences based on how a chat is ended. For example, if the agent disconnects due to a network issue, you can route the chat to the next best agent, or if the customer disconnects due to idleness, you can proactively send an SMS to re-engage them. Disconnect reasons are available for chats in all AWS regions where Amazon Connect is offered. To learn more refer to the help documentation.

AWS Step Functions simplifies developer experience with Variables and JSONata transformations

Published Date: 2024-11-22 18:00:00

AWS Step Functions announces support for two new capabilities: Variables and JSONata data transformations. Variables allow developers to assign data in one state and reference it in a subsequent state, simplifying state payload management, reducing the need to pass data through multiple intermediate states. With support for JSONata, an open source query and transformation language, customers can now perform advanced data manipulation and transformation such as date and time formatting, and mathematical operations. Additionally, when using JSONata, we have simplified input and output processing by reducing the number of JSON transformation fields required to call services and pass data to the next state. AWS Step Functions is a visual workflow service capable of orchestrating over 14,000 API actions from over 220 AWS services to build distributed applications and data processing workloads. With support for Variables and JSONata, developers can build distributed serverless applications faster and more efficiently with enhanced payload management capabilities. These features also reduce the need for custom code, lowering costs and reducing the number of state transitions needed to construct and pass data between states. Variables and JSONata are available at no additional cost in: US East (N. Virginia, Ohio), US West (Oregon), Canada (Central), Europe (Ireland and Frankfurt), and Asia Pacific (Tokyo, Seoul, Singapore, and Sydney) with the remaining regions to follow in the coming days. We have also partnered with LocalStack and Datadog to ensure that their local emulation and observability experiences are updated to support Variables and JSONata. To learn more, please visit:

• Documentation
• Blog Post
• Introductory Video
• LocalStack Blog
• Datadog Blog

Amazon Managed Service for Apache Flink releases a new Amazon Kinesis Data Streams connector

Published Date: 2024-11-22 18:00:00

Amazon Managed Service for Apache Flink now offers a new Apache Flink connector for Amazon Kinesis Data Streams. This open-source connector, contributed by AWS, supports Apache Flink 2.0 and provides several enhancements. It enables in-order reads during stream scale-up or scale-down, supports Apache Flink's native watermarking, and improves observability through unified connector metrics. Additionally, the connector uses AWS SDK for Java 2.x which supports enhanced performance and security features, and native retry strategy. Amazon Kinesis Data Streams is a serverless data streaming service that enables customers to capture, process, and store data streams at any scale. Amazon Managed Service for Apache Flink makes it easier to transform and analyze streaming data in real time with Apache Flink without having to manage servers or clusters. You can use the new connector to consume data from a Kinesis Data Stream source for real-time processing in your Apache Flink application and can also send data back to a Kinesis Data Streams destination. You can use the new connector to read data from a Kinesis data stream starting with Apache Flink version 1.19. To learn more about Apache Flink Amazon Kinesis Data Streams connector, visit the official Apache Flink documentation. You can also check the GitHub repositories for Apache AWS connectors.  

Amazon Redshift announces support for Confluent Cloud and Apache Kafka

Published Date: 2024-11-22 18:00:00

Amazon Redshift now supports streaming ingestion from Confluent Managed Cloud and self-managed Apache Kafka clusters on Amazon EC2 instances, expanding its capabilities beyond Amazon Kinesis Data Streams (KDS) and Amazon Managed Streaming for Apache Kafka (MSK). With this update, customers can ingest data from a wider range of streaming sources directly into their Amazon Redshift data warehouses. Amazon Redshift introduces mTLS (mutual Transport Layer Security) as the authentication protocol for secure communication between Amazon Redshift and the newly supported Kafka streaming sources. This ensures that data ingestion from these new sources maintains the high security standards expected in enterprise data workflows. Additionally, a new SQL identifier 'KAFKA' has been introduced to simplify the identification of these newly supported Kafka sources in Amazon Redshift External Schema definitions. You can start using this expanded streaming ingestion capability immediately, to build more comprehensive and flexible data pipelines that ingest data from various Kafka sources — those offered by AWS (Amazon MSK), those available from partners (Confluent Cloud) or those that are self-managed (Apache Kafka) on Amazon EC2. To learn more and get started with streaming data into Amazon Redshift from any Kafka source, refer to the Amazon Redshift streaming documentation.

Amazon Connect Email is now generally available

Published Date: 2024-11-22 18:00:00

Amazon Connect Email provides built-in capabilities that make it easy for you to prioritize, assign, and automate the resolution of customer service emails, improving customer satisfaction and agent productivity. With Amazon Connect Email, you can receive and respond to emails sent by customers to business addresses or submitted via web forms on your website or mobile app. You can configure auto-responses, prioritize emails, create or update cases, and route emails to the best available agent when agent assistance is required. Additionally, these capabilities work seamlessly with Amazon Connect outbound campaigns enabling you to deliver proactive and personalized email communications. To get started, configure an email address using the Amazon Connect-provided domain or integrate your own email domain using Amazon Simple Email Service (Amazon SES). Amazon Connect Email uses the same configuration, routing, analytics, and agent experience as voice, chat, SMS, tasks, and web-calling in Amazon Connect, making it easy for you to deliver seamless omnichannel customer experiences. Amazon Connect Email is available in the US East (N. Virginia), US West (Oregon), Africa (Cape Town), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), and Europe (London) regions. To learn more and get started, please refer to the help documentation, pricing page, or visit the Amazon Connect website.  

AWS AppSync now supports cross account sharing of GraphQL APIs

Published Date: 2024-11-22 18:00:00

AWS AppSync is a fully managed API management service that connects applications to events, data, and AI models. AppSync now supports sharing GraphQL APIs across AWS accounts using AWS Resource Access Manager (RAM). This new feature allows customers to securely share their AppSync GraphQL APIs configured with IAM authorization, including private APIs, with other AWS accounts within their organization or with third parties. Before today, customers had to set up additional networking infrastructure to share their private GraphQL APIs between their organization accounts. With this enhancement, customers can now centralize their GraphQL API management in a dedicated account and share access to these APIs with other accounts. For example, a central API team can create and manage private GraphQL APIs, then share them with different application or networking teams in different accounts. This approach simplifies API governance, improves security, and enables more flexible and scalable architectures for multi-account environments. Customers can optionally enable CloudTrail to capture API activities related to AWS AppSync GraphQL APIs as events for additional security and visibility. This feature is now available in all AWS Regions where AWS AppSync is available. To get started, refer to the AWS AppSync GraphQL documentation, and visit the AWS RAM console to start sharing your APIs. For more information about sharing resources with AWS RAM, see the AWS RAM User Guide.

AWS Resilience Hub introduces a summary view

Published Date: 2024-11-22 18:00:00

AWS Resilience Hub introduces a new summary view, providing an executive level view of the resilience posture of the application portfolio defined on Resilience Hub. The new summary view allows you to visualize the state of your application portfolio, so you can efficiently manage and improve your applications’ ability to withstand and recover from disruptions. Understanding the current state of application resilience can be a challenge, especially when it comes to identifying which applications need attention and communicating this information across your organization. The new summary view in Resilience Hub helps you to quickly identify applications that require remediation and streamline resilience management across your application portfolio. In addition to the new summary view, we are providing the ability to export the data powering the summary view to allow you to create custom reports for stakeholder communication. The summary and export functions allows teams to quickly assess the current state of application resilience and take necessary actions to improve it. The new summary view is available in all of the AWS Regions where AWS Resilience Hub is supported. For the most up-to-date availability information, see the AWS Regional Services List. To learn more about AWS Resilience Hub, visit our product page. To get started with AWS Resilience Hub, sign into the AWS console.

Amazon Redshift Query Editor V2 Increases Maximum Result Set and Export size to 100MB

Published Date: 2024-11-22 18:00:00

AWS announces Amazon Redshift Query Editor V2 now supports increased maximum result set and export size to 100MB of your query result sets with no row limit. Prior to this limit of your query result sets was* 5MB or 100,000 rows. This enhancement provides greater flexibility for you and your team to work with large datasets, enabling you to generate, analyze, and export more comprehensive data without previous constraints. If you work with large datasets, such as security logs, gaming data, and other big data workloads, that require in-depth analysis, the previous 5MB or 100,000-row limit on result sets and exports often fell short of your needs, forcing you to piece together insights from multiple queries and downloads. With the new 100MB result set size and export capabilities in Amazon Redshift Query Editor, you can now generate a single, more complete view of your data, export it directly as a CSV or JSON file, and conduct richer analysis to drive better-informed business decisions. The increased 100MB result set and export size capabilities for Amazon Redshift Query Editor V2 are available in all AWS commercial Regions. For more information about the AWS Regions where Redshift is available, please refer to the AWS Regions table. To learn more, see the Amazon Redshift documentation.  

Announcing static stability for Amazon EC2 instances backed by EC2 instance store on AWS Outposts

Published Date: 2024-11-22 18:00:00

AWS Outposts now offers static stability for Amazon EC2 instances backed by EC2 instance store. This enables automatic recovery for workloads running on such EC2 instances from power failures or reboots, even when the connection to the parent AWS Region is temporarily unavailable. This means Outposts servers and Outposts racks can recover faster from power outages, minimizing downtown and data loss. Outposts provides a consistent hybrid experience by bringing AWS services to customer premises and edge locations on fully managed AWS infrastructure. While Outposts typically runs connected to an AWS Region for resource management, access control, and software updates, the new static stability feature enables workloads running on EC2 instances backed by EC2 instance store to recover from power failures even when connectivity to the AWS Region unavailable. Note that this capability is currently not available for EC2 instances backed by Amazon EBS volumes. This capability is in all AWS Regions where Outposts is supported. Check out the Outposts servers FAQs page and the Outposts rack FAQs page for the full list of supported Regions. To get started, no customer specific action is required. Static stability is now enabled for all EC2 instances backed by EC2 instance store.  

AWS Billing and Cost Management announces Savings Plans Purchase Analyzer

Published Date: 2024-11-22 18:00:00

Today, AWS announces Savings Plans Purchase Analyzer, a new AWS Billing and Cost Management feature that enables you to quickly estimate the cost, coverage, and utilization impact of your planned Savings Plan purchases, so you can make informed purchase decisions in just a few clicks. Savings Plans Purchase Analyzer enables you to interactively model a wide range of Savings Plan purchase scenarios with customizable parameters, including commitment amounts, custom lookback periods, and the option to exclude expiring Savings Plans. You can compare estimated savings percentage, coverage, and utilization across different purchase scenarios, and evaluate the hourly impact of recommended or custom commitments for renewals or new purchases of Savings Plans. Savings Plans Purchase Analyzer is available in all AWS Regions, except the AWS GovCloud (US) Regions and the China Regions. To get started with Savings Plans Purchase Analyzer, visit the product details page and user guide.

Neptune Analytics Adds Support for Seamless Graph Data Import and Export

Published Date: 2024-11-22 18:00:00

Today, we’re launching a new feature that enables customers to easily import Parquet data and export Parquet/CSV data to and from their Neptune Analytics graphs. This new capability simplifies the process of loading Parquet data into Neptune Analytics for graph queries and analysis, while also allowing customers to export graph data as Parquet or CSV files. Exported data can then be moved seamlessly to Neptune DB, data lakes, or ML platforms for further exploration and analysis. Previously, customers faced challenges with limited integration options, vendor lock-in concerns, cross-platform flexibility, and sharing graph data for collaborative analysis. This new export functionality addresses these pain points by providing a seamless, end-to-end experience. The data extraction occurs from a snapshot, ensuring that database performance remains unaffected. With the ability to import and export graph data via APIs, customers can leverage Neptune Analytics to run graph algorithms, update their graphs, and export the data for use in other databases like Neptune or data processing frameworks like Apache Spark or query services like Amazon Athena. This enhanced flexibility empowers customers to gain deeper insights from their graph data and use it across various tools and environments. To learn more about Neptune Analytics and native export capability, visit the features page, and user guide.  

Announcing generative AI upgrades for Apache Spark in AWS Glue (preview)

Published Date: 2024-11-22 18:00:00

AWS Glue announces generative AI upgrades for Apache Spark, a new generative AI capability that enables data practitioners to quickly upgrade and modernize their existing Spark jobs. Powered by Amazon Bedrock, this feature automates the analysis and updating of Spark scripts and configurations, reducing the time and effort required for Spark upgrades from weeks to minutes. AWS Glue is a serverless, scalable data integration service that makes it easier to discover, prepare, and combine data for analytics, machine learning, and application development. With Spark Upgrades, you can initiate automated upgrades with a single click in the AWS Glue console to modernize your Spark jobs from an older version to AWS Glue version 4.0. This feature analyzes your Python-based Spark jobs and generates upgrade plans detailing code changes and configuration modifications. It leverages generative AI to iteratively improve and validate the upgraded code by executing test runs as Glue jobs. Once validation is successful, you receive a detailed summary of all changes for review, enabling confident deployment of your upgraded Spark jobs. This automated approach reduces the complexity of Spark upgrades while maintaining the reliability of your data pipelines. The generative AI upgrades for Apache Spark preview is available for AWS Glue in the following AWS Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), and Asia Pacific (Sydney). To learn more, visit the AWS Glue website, read the Launch blog, or read the documentation.  

Amazon OpenSearch Ingestion now supports AWS Lambda for custom data transformation

Published Date: 2024-11-22 18:00:00

Amazon OpenSearch Ingestion now allows you to leverage AWS Lambda for event processing and routing, enabling complex transformation and enrichment of your streaming data. Customers can now define custom Lambda functions in their OpenSearch Ingestion pipelines for use cases like generating vector embedding and lookups in external databases to power advanced search use cases.

OpenSearch Ingestion gives you the option of either using only Lambda functions or chaining Lambda functions with native Data Prepper processors when transforming data. You can also batch events into a single payload based on event count and size before invoking Lambda to optimize the number of Lambda invocations to reduce costs and improve throughput. Furthermore, you can use this feature with the inbuilt conditional expressions in Amazon OpenSearch Ingestion to enable use cases like sending out emails and notifications for real-time alerting.

This feature is available in all the 15 AWS commercial regions where Amazon OpenSearch Ingestion is currently available: US East (Ohio), US East (N. Virginia), US West (Oregon), US West (N. California), Europe (Ireland), Europe (London), Europe (Frankfurt), Asia Pacific (Tokyo), Asia Pacific (Sydney), Asia Pacific (Singapore), Asia Pacific (Mumbai), Asia Pacific (Seoul), Canada (Central), South America (Sao Paulo), and Europe (Stockholm).

To learn more, see the Amazon OpenSearch Ingestion webpage and the Amazon OpenSearch Service Developer Guide.

AWS Application Discovery Service now supports AWS PrivateLink

Published Date: 2024-11-22 18:00:00

AWS Application Discovery Service (ADS) now supports AWS PrivateLink, providing private connectivity between virtual private clouds (VPCs), on-premises networks and ADS without exposing traffic to the public internet. With this integration, administrators can use VPC endpoint policies to seamlessly route their discovery data from either the ADS Agentless Collector or ADS Discovery Agent directly into ADS for analysis and migration planning. This new feature is available in all AWS Regions where AWS Application Discovery Service and AWS PrivateLink are available. To get started, see the AWS PrivateLink section of AWS Application Discovery Service user guide.

Announcing the new AWS User Notifications SDK

Published Date: 2024-11-22 17:00:00

Today, we announced the general availability of AWS User notifications SDK which enables you to programmatically configure and get notifications (e.g., AWS Health events, EC2 Instance state change, or CloudWatch Alarms). The User Notifications SDK makes it easy to automate the creation of notification configurations in your accounts; e.g., a Cloud Center of Excellence (CCoE) can set up AWS Health notifications for each provisioned account. With User Notifications SDK, you specify which events you want to be notified about, and in which channels (email, AWS Chatbot for Microsoft Teams and Slack notifications, and AWS Console Mobile App push notifications) with no need to access the Management Console. Users with User Notifications permissions can enable notifications for use cases like AWS Health events, Amazon CloudWatch alarms, or Amazon EC2 instance state changes. For example, notify your team’s Slack channel whenever an EC2 instance in region US East (Virginia) or Europe (Frankfurt) with tag ‘production’ changes state to “stopped”. The User Notifications SDK is offered at no additional cost. For more information, visit the AWS User Notifications product page and documentation. To get started, go to AWS User Notifications API reference and AWS User Notifications Contacts API reference. CloudFormation support will be coming soon.

AWS Lambda adds support for Node.js 22

Published Date: 2024-11-22 17:00:00

AWS Lambda now supports creating serverless applications using Node.js 22. Developers can use Node.js 22 as both a managed runtime and a container base image, and AWS will automatically apply updates to the managed runtime and base image as they become available. Node.js 22 is the latest long-term support (LTS) release of Node.js and is expected to be supported for security and bug fixes until April 2027. It provides access to the latest Node.js language features, such as the ‘fetch’ API. You can use Node.js 22 with Lambda@Edge in supported Regions, allowing you to customize low-latency content delivered through Amazon CloudFront. Powertools for AWS Lambda (TypeScript), a developer toolkit to implement serverless best practices and increase developer velocity, also supports Node.js 22. The Node.js 22 runtime is available in all Regions where Lambda is available, including China and the AWS GovCloud (US) Regions. You can use the full range of AWS deployment tools, including the Lambda console, AWS CLI, AWS Serverless Application Model (AWS SAM), AWS CDK, and AWS CloudFormation to deploy and manage serverless applications written in Node.js 22. For more information, including guidance on upgrading existing Lambda functions, see our blog post. For more information about AWS Lambda, visit our product page.

Amazon RDS Blue/Green Deployments support minor version upgrade for RDS for PostgreSQL

Published Date: 2024-11-22 17:00:00

Amazon Relational Database Service (Amazon RDS) Blue/Green Deployments now supports safer, simpler, and faster minor version upgrades for your Amazon RDS for PostgreSQL databases using physical replication. The use of PostgreSQL physical replication for database change management, such as minor version upgrade, simplifies your RDS Blue/Green Deployments upgrade experience by overcoming PostgreSQL community logical replication limitations. You can now use Amazon RDS Blue/Green Deployments for deploying multiple database changes to production such as minor version upgrades, shrink storage volume, maintenance updates, and scaling instances in a single switchover event using physical replication. RDS Blue/Green Deployments for PostgreSQL relies on logical replication for major version upgrades. Blue/Green Deployments for PostgreSQL creates a fully managed staging environment using physical replication for minor version upgrades, that allows you to deploy and test production changes, keeping your current production database safer. With a few clicks, you can switchover the staging environment to be the new production system in as fast as a minute, with no data loss and no changes to your application for database endpoint management. Amazon RDS Blue/Green Deployments is now available for Amazon RDS for PostgreSQL using physical replication for all minor versions for the major versions 11 and higher in all applicable AWS Regions. In a few clicks, update your databases using Amazon RDS Blue/Green Deployments via the Amazon RDS Console. Learn more about Blue/Green Deployments on the Amazon RDS features page.  

Amazon Q Business now supports answers from tables embedded in documents

Published Date: 2024-11-22 17:00:00

Amazon Q Business is a generative AI–powered assistant that can answer questions, provide summaries, generate content, and securely complete tasks based on data and information in your enterprise systems. A large portion of that information is found in text narratives stored in various document formats such as PDFs, Word files, and HTML pages. Some information is also stored in tables (e.g. price or product specification tables) embedded in those same document types, CSVs, or spreadsheets. Although Amazon Q Business can provide accurate answers from narrative text, getting answers from these tables requires special handling of more structured information. Today, we are happy to announce support for tabular search in Amazon Q Business, enabling end-users to extract answers from tables embedded in documents ingested in Amazon Q Business. With tabular search in Amazon Q Business, users can ask questions like “what’s the credit card with the lowest APR and no annual fees?” or “which credit cards offer travel insurance?” where the answers may be found in a product-comparison table, inside a marketing PDF stored in an internal repository, or on a website. Answers are returned as tables, lists or text narratives depending on the context. Tabular search is an out-of-the-box feature in Amazon Q Business that works seamlessly across many domains, with no setup required from admin or end-users. The feature supports tables embedded in HTML, PDF, Word, Excel, CSV, and SmartSheet (via SmartSheet connector) formats. Amazon Q Business tabular search is available in all AWS Regions where Amazon Q Business is available. To explore Amazon Q Business, visit the website.

AWS Lake Formation now supports named LF-Tag expressions

Published Date: 2024-11-22 17:00:00

Today, AWS announces the general availability of named LF-Tag expressions in AWS Lake Formation. With this launch, customers can create and manage named combinations of LF-Tags. With Named LF-Tag expressions, customers can now create permission expressions that better represent complex business requirements in permissions. Customers use LF-Tags to create complex data grants based on attributes and want to manage the combination of LF-Tags. Now, when customers want to grant the same combination of LF-Tags to multiple users, they can create a named LF-Tag expression and grant that expression to multiple users rather than providing the full expression for every grant. Additionally, changes in a customer’s LF-Tag ontology, for example for changes in business requirements, means customers can update a single expression instead of all permissions that used the changed LF-Tags. Named LF-Tag expressions are generally available in commercial AWS Regions where AWS Lake Formation is available and the AWS GovCloud (US) Regions. To get started with this feature, visit the AWS Lake Formation documentation.  

Amazon EC2 added New CPU-Performance Attribute for Instance Type Selection

Published Date: 2024-11-21 22:45:00

Starting today, EC2 Auto Scaling and EC2 Fleet customers can express their EC2 instances’ CPU-performance requirements as part of the Attribute-Based Instance Type Selection (ABIS) configuration. With ABIS, customers can already choose a list of instances types by defining a set of desired resource requirements, such as the number of vCPU cores and memory per instance. Now, in addition to the quantitative resource requirements, customers can also identify an instance family that ABIS will use as a baseline to automatically select instance types that offer similar or better CPU performance, enabling customers to further optimize their instance-type selection. ABIS is a powerful tool for customers looking to leverage instance type diversification to meet their capacity requirements. For example, customers who use Spot Instances to launch into limited EC2 spare capacity for a discounted price, access multiple instance types to successfully fulfill their larger capacity needs and experience fewer interruptions. With this release, for example, customers can use ABIS in a launch request for instances that can be in the C, M, and R instance classes, with a minimum of 4 vCPUs, and provide CPU performance in line with the C6i instance family, or better. The feature is available in all AWS commercial and the AWS GovCloud (US) Regions. You can use Amazon Management Console, CLI, SDKs, and CloudFormation to update your instance requirements. To get started, refer the user guide for EC2 Auto Scaling and EC2 Fleet.

Amazon S3 Express One Zone is now available in three additional AWS Regions

Published Date: 2024-11-21 22:30:00

The Amazon S3 Express One Zone storage class is now available in three additional AWS Regions: Asia Pacific (Mumbai), Europe (Ireland), and US East (Ohio). S3 Express One Zone is a high-performance, single-Availability Zone storage class purpose-built to deliver consistent single-digit millisecond data access for your most frequently accessed data and latency-sensitive applications. S3 Express One Zone delivers data access speed up to 10x faster and request costs up to 50% lower than S3 Standard. It enables workloads such as machine learning training, interactive analytics, and media content creation to achieve single-digit millisecond data access speed with high durability and availability. S3 Express One Zone is now generally available in seven AWS Regions. For information on AWS service and AWS Partner integrations with S3 Express One Zone, visit the S3 Express One Zone integrations page. To learn more about S3 Express One Zone, visit the S3 User Guide.

Amazon S3 Express One Zone now supports the ability to append data to an object

Published Date: 2024-11-21 22:15:00

Amazon S3 Express One Zone now supports the ability to append data to an object. For the first time, applications can add data to an existing object in S3. Applications that continuously receive data over a period of time need the ability to add data to existing objects. For example, log-processing applications continuously add new log entries to the end of existing log files. Similarly, media-broadcasting applications add new video segments to video files as they are transcoded and then immediately stream the video to viewers. Previously, these applications needed to combine data in local storage before copying the final object to S3. Now, applications can directly append new data to existing objects and then immediately read the object, all within S3 Express One Zone. You can append data to objects in S3 Express One Zone in all AWS Regions where the storage class is available. You can get started using the AWS SDK, the AWS CLI, or Mountpoint for Amazon S3 (version 1.12.0 or higher). To learn more, visit the S3 User Guide.

Amazon EC2 G6e instances now available in additional regions

Published Date: 2024-11-21 22:10:00

Starting today, the Amazon EC2 G6e instances powered by NVIDIA L40S Tensor Core GPUs are now available in Asia Pacific (Tokyo) and Europe (Frankfurt, Spain). G6e instances can be used for a wide range of machine learning and spatial computing use cases. G6e instances deliver up to 2.5x better performance compared to G5 instances and up to 20% lower inference costs than P4d instances. Customers can use G6e instances to deploy large language models (LLMs) with up to 13B parameters and diffusion models for generating images, video, and audio. Additionally, the G6e instances will unlock customers’ ability to create larger, more immersive 3D simulations and digital twins for spatial computing workloads. G6e instances feature up to 8 NVIDIA L40S Tensor Core GPUs with 384 GB of total GPU memory (48 GB of memory per GPU) and third generation AMD EPYC processors. They also support up to 192 vCPUs, up to 400 Gbps of network bandwidth, up to 1.536 TB of system memory, and up to 7.6 TB of local NVMe SSD storage. Developers can run AI inference workloads on G6e instances using AWS Deep Learning AMIs, AWS Deep Learning Containers, or managed services such as Amazon Elastic Kubernetes Service (Amazon EKS) and AWS Batch, with Amazon SageMaker support coming soon. Amazon EC2 G6e instances are available today in the AWS US East (N. Virginia, Ohio), US West (Oregon), Asia Pacific (Tokyo), and Europe (Frankfurt, Spain) regions. Customers can purchase G6e instances as On-Demand Instances, Reserved Instances, Spot Instances, or as part of Savings Plans. To get started, visit the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. To learn more, visit the G6e instance page.

AWS Application Load Balancer introduces header modification for enhanced traffic control and security

Published Date: 2024-11-21 22:10:00

Application Load Balancer (ALB) now supports HTTP request and response header modification giving you greater controls to manage your application’s traffic and security posture without having to alter your application code. This feature introduces three key capabilities: renaming specific load balancer generated headers, inserting specific response headers, and disabling server response header. With header rename, you can now rename all ALB generated Transport Layer Security (TLS) headers that the load balancer adds to requests, which includes the six mTLS headers and two TLS headers (version and cipher). This capability enables seamless integration with existing applications that expect headers in a specific format, thereby minimizing changes to your backends while using TLS features on the ALB. With header insertion, you can insert custom headers related to Cross-Origin Resource Sharing (CORS) and critical security headers like HTTP Strict-Transport-Security (HSTS). Finally, the capability to disable the ALB generated “Server” header in responses reduces exposure of server-specific information, adding an extra layer of protection to your application. These response header modification features give you the ability to centrally enforce your organizations security posture at the load balancer instead of enforcement at individual applications, which can be prone to errors. You can configure Header Modification feature using AWS APIs, AWS CLI, or the AWS Management Console. This feature is available for ALBs in all commercial AWS Regions, AWS GovCloud (US) Regions and China Regions. To learn more, refer to the ALB documentation.  

Amazon CloudWatch Synthetics now supports Playwright runtime to create canaries with NodeJS

Published Date: 2024-11-21 21:50:00

CloudWatch Synthetics, which continuously monitors web applications and APIs by running scripted canaries to help you detect issues before they impact end-users, now supports the Playwright framework for creating NodeJS canaries enabling comprehensive monitoring and diagnosis of complex user journeys and issues that are challenging to automate with other frameworks. Playwright is an open-source automation library for testing web applications. You can now create multi-tab workflows in a canary using the Playwright runtime which comes with the advantage of troubleshooting failed runs with logs stored directly to CloudWatch Logs database in your AWS account. This replaces the previous method of storing logs as text files and enables you to leverage CloudWatch Logs Insights for query-based filtering, aggregation, and pattern analysis. You can now query CloudWatch logs for your canaries using the canary run ID or step name, making the troubleshooting process faster and more precise than one relying on timestamp correlation for searching logs. Playwright-based canaries also generate artifacts like reports, metrics, and HAR files, even when canaries times out, ensuring you have the required data needed for root cause analysis in those scenarios. Additionally, the new runtime simplifies canary configuration by allowing customization through a JSON file, removing the need to call a library function in the canary code. Playwright runtime is available for creating canaries in NodeJS in all commercial regions at no additional cost to users. To learn more about the runtime, see documentation, or refer to the user guide to get started with CloudWatch Synthetics.

Announcing new Amazon CloudWatch Metrics for AWS Lambda Event Source Mappings (ESMs)

Published Date: 2024-11-21 21:40:00

AWS Lambda announces new Amazon CloudWatch metrics for Lambda Event Source Mappings (ESMs), which provide customers visibility into the processing state of events read by ESMs that subscribe to Amazon SQS, Amazon Kinesis, and Amazon DynamoDB event sources. This enables customers to easily monitor issues or delays in event processing and take corrective actions. Customers use ESMs to read events from event sources and invoke Lambda functions. Lack of visibility into processing state of events ingested by ESMs delays diagnosis of event processing issues. Customers can now use the following CloudWatch metrics to monitor the processing state of events ingested by ESMs — PolledEventCount, InvokedEventCount, FilteredOutEventCount, FailedInvokeEventCount, DeletedEventCount, DroppedEventCount, and OnFailureDestinationDeliveredEventCount. PolledEventCount counts the events read by an ESM, and InvokedEventCount counts the events that invoked a Lambda function. FilteredOutEventCount counts the events filtered out by an ESM. FailedInvokeEventCount counts the events that attempted to invoke a Lambda function, but encountered failure. DeletedEventCount counts the events that have been deleted from the SQS queue by Lambda upon successful processing. DroppedEventCount counts the events dropped due to event expiry or exhaustion of retry attempts. OnFailureDestinationDeliveredEventCount counts the events successfully sent to an on-failure destination. This feature is generally available in all AWS Commercial Regions where AWS Lambda is available. You can enable ESM metrics using Lambda event source mapping API, AWS Console, AWS CLI, AWS SDK, AWS CloudFormation, and AWS SAM. To learn more about these metrics, visit Lambda developer guide. These new metrics are charged at standard CloudWatch pricing for metrics.

Amazon S3 Express One Zone now supports S3 Lifecycle expirations

Published Date: 2024-11-21 21:40:00

Amazon S3 Express One Zone, a high-performance S3 storage class for latency-sensitive applications, now supports object expiration using S3 Lifecycle. S3 Lifecycle can expire objects based on age to help you automatically optimize storage costs. Now, you can configure S3 Lifecycle rules for S3 Express One Zone to expire objects on your behalf. You can configure an S3 Lifecycle expiration rule either for your entire bucket or for a subset of objects by filtering by prefix or object size. For example, you can create an S3 Lifecycle rule that expires all objects smaller than 512 KB after 3 days and another rule that expires all objects in a prefix after 10 days. Additionally, S3 Lifecycle logs S3 Express One Zone object expirations in AWS CloudTrail, giving you the ability to monitor, set alerts for, and audit them. Amazon S3 Express One Zone support for S3 Lifecycle expiration is generally available in all AWS Regions where the storage class is available. You can get started with S3 Lifecycle using the Amazon S3 REST API, AWS Command Line Interface (CLI), or AWS Software Development Kit (SDK) client. To learn more about S3 Lifecycle, visit the S3 User Guide.

Amazon EC2 C7i-flex and M7i-flex instances are now available in AWS Asia Pacific (Malaysia) Region

Published Date: 2024-11-21 21:30:00

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) Flex (C7i-flex, M7i-flex) instances powered by custom 4th Gen Intel Xeon Scalable processors (code-named Sapphire Rapids) are available in Asia Pacific (Malaysia) region. These custom processors, available only on AWS, offer up to 15% better performance over comparable x86-based Intel processors utilized by other cloud providers. Flex instances are the easiest way for you to get price-performance benefits for a majority of general-purpose and compute intensive workloads. C7i-flex and M7i-flex instances deliver up to 19% better price-performance compared to C6i and M6i instances respectively. These instances offer the most common sizes, from large to 8xlarge, and are a great first choice for applications that don't fully utilize all compute resources such as web and application servers, virtual desktops, batch-processing, microservices, databases, caches, and more. For workloads that need larger instance sizes (up to 192 vCPUs and 768 GiB memory) or continuous high CPU usage, you can leverage C7i and M7i instances. C7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), and South America (São Paulo). M7i-flex instances are available in the following AWS Regions: US East (N. Virginia, Ohio), US West (N. California, Oregon), Europe (Frankfurt, Ireland, London, Paris, Spain, Stockholm), Canada (Central), Asia Pacific (Malaysia, Mumbai, Seoul, Singapore, Sydney, Tokyo), South America (São Paulo), and the AWS GovCloud (US-East, US-West).  

Announcing enhanced purchase order support for AWS Marketplace

Published Date: 2024-11-21 21:00:00

Today, AWS Marketplace is extending transaction purchase order number support to products with pay-as-you-go pricing, including Amazon Bedrock subscriptions, software as a service (SaaS) contracts with consumption pricing, and AMI annuals. Additionally, you can update purchase order numbers post-subscription prior to invoice creation to ensure your invoices reflect the proper purchase order. This launch helps you allocate costs and makes it easier to process and pay invoices. The purchase order feature in AWS Marketplace allows the purchase order number that you provide at the time of the transaction in AWS Marketplace to appear on all invoices related to that purchase. Now, you can provide a purchase order at the time of purchase for most products available in AWS Marketplace, including products with pay-as-you-go pricing. You can add or update purchase orders post-subscription, prior to invoice generation, within the AWS Marketplace console. You can also provide more than one PO for products appearing on your monthly AWS Marketplace invoice and receive a unique invoice for each purchase order. Additionally, you can add a unique PO for each fixed charge and associated AWS Marketplace monthly usage charges at the time of purchase, or post-subscription in the AWS Marketplace console. You can update purchase orders for existing subscriptions under manage subscriptions in the AWS Marketplace console. To enable transaction purchase orders for AWS Marketplace, sign in to the management account (for AWS Organizations) and enable the AWS Billing integration in the AWS Marketplace Console settings. To learn more, read the AWS Marketplace Buyer Guide.

Amazon EC2 R8g instances now available in AWS Europe (Stockholm)

Published Date: 2024-11-21 20:30:00

Starting today, Amazon Elastic Compute Cloud (Amazon EC2) R8g instances are available in AWS Europe (Stockholm) region. These instances are powered by AWS Graviton4 processors and deliver up to 30% better performance compared to AWS Graviton3-based instances. Amazon EC2 R8g instances are ideal for memory-intensive workloads such as databases, in-memory caches, and real-time big data analytics. These instances are built on the AWS Nitro System, which offloads CPU virtualization, storage, and networking functions to dedicated hardware and software to enhance the performance and security of your workloads. AWS Graviton4-based Amazon EC2 instances deliver the best performance and energy efficiency for a broad range of workloads running on Amazon EC2. AWS Graviton4-based R8g instances offer larger instance sizes with up to 3x more vCPU (up to 48xlarge) and memory (up to 1.5TB) than Graviton3-based R7g instances. These instances are up to 30% faster for web applications, 40% faster for databases, and 45% faster for large Java applications compared to AWS Graviton3-based R7g instances. R8g instances are available in 12 different instance sizes, including two bare metal sizes. They offer up to 50 Gbps enhanced networking bandwidth and up to 40 Gbps of bandwidth to the Amazon Elastic Block Store (Amazon EBS). To learn more, see Amazon EC2 R8g Instances. To explore how to migrate your workloads to Graviton-based instances, see AWS Graviton Fast Start program and Porting Advisor for Graviton. To get started, see the AWS Management Console.

Mountpoint for Amazon S3 now supports a high performance shared cache

Published Date: 2024-11-21 20:30:00

You can now use Amazon S3 Express One Zone as a high performance read cache with Mountpoint for Amazon S3. The cache can be shared by multiple compute instances and can elastically scale to any dataset size. Mountpoint for S3 is a file client that translates local file system API calls to REST API calls on S3 objects. With this launch, Mountpoint for S3 can cache data in S3 Express One Zone after it’s read, making the subsequent read requests up to 7x faster compared to reading data from S3 Standard. Previously, Mountpoint for S3 could cache recently accessed data in Amazon EC2 instance storage, EC2 instance memory, or an Amazon EBS volume. This improved performance for repeated read access from the same compute instance for dataset sizes up to the size of the available local storage. Starting today, you can also opt in to caching data in S3 Express One Zone, benefiting applications that repeatedly read a shared dataset across multiple compute instances, without any limits on the total dataset size. Once you opt in, Mountpoint for S3 retains objects with sizes up to one megabyte in S3 Express One Zone. This is ideal for compute-intensive use cases such as machine learning training for computer vision models where applications repeatedly read millions of small images from multiple instances. Mountpoint for Amazon S3 is an open source project backed by AWS support, which means customers with AWS Business and Enterprise Support plans get 24/7 access to cloud support engineers. To get started, visit the GitHub page and product page.

Amazon VPC IPAM now supports enabling IPAM for organizational units within AWS Organizations

Published Date: 2024-11-21 20:20:00

Today, AWS announced the ability for Amazon VPC IP Address Manager (IPAM) to be enabled and used for specific organizational units (OUs) within AWS Organizations. This allows you to enable IPAM for specific types of workloads, such as production workloads, or for specific business subsidiaries, that are grouped as OUs in your organization. VPC IPAM makes it easier for you to plan, track, and monitor IP addresses for your AWS workloads. Typically, you would enable IPAM for the entire organization giving you a unified view of all the IP addresses. In some cases, you may want to enable IPAM only for parts of your organization. For example, you want to enable IPAM for all types of workloads, except sandbox which is isolated from your core-network and contains only experimental workloads. Or, you want to onboard selected business subsidiaries that need IPAM ahead of others in the organization. In such cases, you can use this new feature to enable IPAM for specific parts of your organization that are grouped as OUs. Amazon VPC IPAM is available in all AWS Regions, including China (Beijing, operated by Sinnet), and China (Ningxia, operated by NWCD), and the AWS GovCloud (US) Regions. To learn more about this feature, view the service documentation. For details on IPAM pricing, refer to the IPAM tab on the Amazon VPC Pricing page.

AWS announces Media Quality-Aware Resiliency for live streaming

Published Date: 2024-11-21 20:15:00

Starting today, you can enable Media Quality-Aware Resiliency (MQAR), an integrated capability between Amazon CloudFront and AWS Media Services that provides dynamic, cross-region origin selection and failover based on a dynamically generated video quality score. Built for customers that need always-on ‘eyes-on-glass’ to deliver live events and 24/7 programming channels, MQAR automatically switches between regions in seconds to recover from video quality degradation in one of the regions. This is designed to help deliver a high quality of experience to viewers. Previously, you could use a CloudFront origin group to failover between two AWS Elemental MediaPackage origins in different AWS Regions based on HTTP error codes. Now with MQAR, your live event streaming workflow has the resiliency to withstand video quality issues including black frames, freeze or dropped frames, or repeated frames. AWS Elemental MediaLive analyzes the video input delivered from the source and dynamically generates a quality score reflecting perceived changes in video quality. Subsequently, your CloudFront distribution continuously selects the MediaPackage origin that reports the highest quality score. You can create CloudWatch alerts to be notified of quality issues using the provided metrics for quality indicators. To get started with MQAR, deploy a cross-region channel delivery using AWS Media Services and configure CloudFront to use MQAR in the origin group. CloudFormation support will be coming soon. There is no additional cost for enabling MQAR, standard pricing applies for CloudFront and AWS Media Services. To learn more about MQAR, refer to the launch blog and the CloudFront Developer Guide.

Amazon EC2 now provides lineage information for your AMIs

Published Date: 2024-11-21 20:05:00

Amazon EC2 now provides source details for your Amazon Machine Images (AMIs). With this lineage information, you can easily trace any copied or derived AMI back to their original AMI source. Prior to today, you had to maintain a list of AMIs, use tags, and create custom scripts to track the origins of an AMI. This approach was time-consuming, hard to scale, and resulted in operational overheads. Now with this capability, you can easily view details of the source AMI, making it easier for you to understand from where a particular AMI originated. When copying AMIs across AWS Regions, the lineage information clearly links the copied AMIs to their original AMIs. This new capability provides a more streamlined and efficient way to manage and understand the lineage of AMIs within your AWS environment You can view these details by using the AWS CLI, SDKs, or Console. This capability is available at no additional cost in all AWS Regions, including AWS GovCloud (US) and AWS China Regions. To learn more, please visit our documentation here.

AWS DMS now delivers improved performance for data validation

Published Date: 2024-11-21 20:00:00

AWS Database Migration Service (AWS DMS) has enhanced data validation performance for database migrations, enabling customers to validate large datasets with significantly faster processing times. This enhanced data validation is now available in version 3.5.4 of the replication engine for both full load and full load with CDC migration tasks. Currently, this enhancement supports migration paths from Oracle to PostgreSQL, SQL Server to PostgreSQL, Oracle to Oracle, and SQL Server to SQL Server, with additional migration paths planned for future releases. To learn more about data validation performance improvements with AWS DMS, please refer to the AWS DMS Technical Documentation.

AWS Marketplace announces improved offer and agreement management capabilities for sellers

Published Date: 2024-11-21 19:10:00

AWS Marketplace now offers improved capabilities to help sellers manage agreements and create new offers more efficiently. Sellers can access an improved agreements navigation experience, export details to PDF, and clone past private offers in the AWS Marketplace Management Portal. The new agreements experience makes it easier to find agreements for a specific offer or by the customer and take action based on the agreement’s status—active, expiring, expired, replaced, or cancelled. This holistic view enables you to retrieve agreements faster to help you prepare for customer engagements and identify renewal or expansion opportunities. To simplify sharing and offline collaboration, you can now export details into PDF format. Additionally, the new offer cloning capability enables you to replicate common offer configurations from past direct private offers. This gives you the ability to quickly make adjustments for renewals and revisions to ongoing offers. These features are available for all AWS Partners selling SaaS, Amazon Machine Images (AMI), containers, and professional services products in AWS Marketplace. To learn more, visit the AWS Marketplace Seller Guide, or access the AWS Marketplace Management Portal to try the new capabilities.

Amazon CloudWatch Logs launches the ability to transform and enrich logs

Published Date: 2024-11-21 18:00:00

Amazon CloudWatch Logs announces log transformation and enrichment to improve log analytics at scale with consistent, and context-rich format. Customers can add structure to their logs using pre-configured templates for common AWS services such as AWS Web Application Firewall (WAF), Route53, or build custom transformers with native parsers such as Grok. Customers can also rename existing attributes and add additional metadata to their logs such as accountId, and region. Logs emitted from various sources vary widely in format and attribute names, which makes analysis across sources cumbersome. With today’s launch, customers can simplify their log analytics experience by transforming all their logs into a standardized JSON structure. Transformed logs can be leveraged to accelerate analytics experience using field indexes, discovered fields in CloudWatch Logs Insights, provide flexibility in alarming using metric filters and forwarding via subscription filters. Customers can manage log transformations natively within CloudWatch without needing to setup complex pipelines. Log transformation and enrichment capability is available in all AWS Commercial Regions, and included with existing Standard log class ingestion price. Logs Store (Archival) costs will be based on log size after transformation, which may exceed the original log volume. With a few clicks in the Amazon CloudWatch Console, customers can configure transformers at log group level. Alternatively, customers can setup transformers at account, or log group level using AWS Command Line Interface (AWS CLI), AWS CloudFormation, AWS Cloud Development Kit (AWS CDK), and AWS SDKs. Read the documentation to learn more about this capability.  

Amazon RDS for PostgreSQL supports pgvector 0.8.0

Published Date: 2024-11-21 18:00:00

Amazon Relational Database Service (RDS) for PostgreSQL now supports pgvector 0.8.0, an open-source extension for PostgreSQL for storing and efficiently querying vector embeddings in your database, letting you use retrieval-augemented generation (RAG) when building your generative AI applications. pgvector 0.8.0 release includes improvements on PostgreSQL query planner’s selection of index when filters are present, which can deliver better query performance and improve search result quality. pgvector 0.8.0 release includes a variety of improvements to how pgvector filters data using conditions in WHERE clauses and joins that can improve query performance and usability. Additionally, the iterative index scans help prevent ‘overfiltering’, ensuring generation of sufficient results to satisfy the conditions of a query. If an initial index scan doesn't satisfy the query conditions, pgvector will continue to search the index until it hits a configurable threshold. This release also has performance improvements for searching and building HNSW indexes. pgvector 0.8.0 is available on database instances in Amazon RDS running PostgreSQL 17.1 and higher, 16.5 and higher, 15.9 and higher, 14.14 and higher, and 13.17 and higher in all applicable AWS Regions.

Amazon RDS for PostgreSQL makes it simple to set up, operate, and scale PostgreSQL deployments in the cloud. See Amazon RDS for PostgreSQL Pricing for pricing details and regional availability. Create or update a fully managed Amazon RDS database in the Amazon RDS Management Console.

Amazon RDS Blue/Green Deployments Green storage fully performant prior to switchover

Published Date: 2024-11-21 18:00:00

Amazon Relational Database Service (Amazon RDS) Blue/Green Deployments now support managed initialization of Green storage volumes that accelerates the loading of storage blocks from Amazon S3. This ensures that the volumes are fully performant prior to switchover of the Green databases. Blue/Green Deployments create a fully managed staging environment, or Green database, by restoring the Blue database snapshot. The Green database allows you to deploy and test production changes, keeping your current production database, or Blue database, safer. Previously, you had to manually initialize the storage volumes of the Green databases. With this launch, RDS Blue/Green Deployments will proactively manage and accelerate the storage initialization for your green database instances. You will be able to view the progress of storage initialization using the RDS Console and command line interface (CLI). Managed storage initialization of the Green databases is supported for Blue/Green deployments created for RDS for PostgreSQL, RDS for MySQL, and RDS for MariaDB engines. Amazon RDS Blue/Green Deployments are available for Amazon RDS for PostgreSQL major versions 12 and higher, RDS for MySQL major versions 5.7 and higher, and Amazon RDS for MariaDB major versions 10.4 and higher. In a few clicks, update your databases using Amazon RDS Blue/Green Deployments via the Amazon RDS Console. Learn more about RDS Blue/Green Deployments and the supported engine versions here.