Marlo’s Post

From game-changing tech to unforgettable connections, 𝗞𝘂𝗯𝗲𝗖𝗼𝗻 by Cloud Native Computing Foundation (CNCF) was a rollercoaster of inspiration. Don't miss out on the updates and check out our latest article for an inside look! #KubeCon #techinnovation

"Automation in cloud-based projects can drastically streamline development." Manually setting up cloud resources can be time-consuming and error-prone. But through my 5th project with BankerBot, I’ve seen how AWS CloudFormation changes the game: 💡 Infrastructure as Code (IaC): Instead of configuring each resource manually, I used a YAML template to define all component's intents, slots, and Lambda functions in one go. This simplified setup and ensured consistency. ⚙️ Automated Deployment: CloudFormation handled everything—from the chatbot’s CheckBalance intent to connecting Lambda—saving valuable time on infrastructure tasks. 🔄 Efficient Resource Management: Not only can I deploy resources quickly, but I can also manage updates and deletions with a single command. Clean and efficient! 🔧 Reduced Errors: Automation minimized human errors during setup. Even with a permissions issue, the structured environment made troubleshooting easier. Through this project, I've solidified my skills in automation, AWS Lambda, and IaC, enhancing both speed and accuracy in cloud development. #AWS #CloudFormation #Automation #AI #CloudComputing #Project5 #AIxAWS #TechSkillsSand TechnologiesAmazon Web Services (AWS)NextWork

Excited to share my experience with the GPT Your IaC Challenge hosted by Pulumi! I just completed the challenge by leveraging Pulumi AI to automate the creation of a Pulumi program for deploying a public-facing Application Load Balancer (ALB) on AWS. Here's a glimpse into what I accomplished: 1️⃣ Infrastructure Overview: • Created a Virtual Private Cloud (VPC) with specified CIDR block, enabling DNS support and hostnames. • Provisioned an Internet Gateway and attached it to the VPC for internet connectivity. • Set up two public subnets across different availability zones within the VPC to ensure high availability and fault tolerance. • Configured a security group for the ALB to allow inbound traffic on port 80 from any source while allowing all outbound traffic. 2️⃣ ALB Configuration: • Utilized the AWS Load Balancer resource to create an Application Load Balancer (ALB), specifying it to be external-facing. • Attached the ALB to the previously created security group and placed it across the defined public subnets. 3️⃣ Target Group and Listener Setup: • Defined an AWS Target Group for routing incoming traffic to instances based on health checks. • Established a listener on port 80 for the ALB, directing traffic to the target group. 4️⃣ Outcome: Successfully deployed the ALB infrastructure with high availability, scalability, and security considerations in mind. By participating in this challenge, I not only gained hands-on experience with Pulumi and Pulumi AI but also enhanced my skills in Infrastructure as Code (IaC) automation. This demonstrates the power of leveraging AI in streamlining infrastructure deployment processes, saving time and effort. I encourage fellow tech enthusiasts to take on the GPT Your IaC Challenge using Pulumi AI and explore the realm of automated infrastructure provisioning. Don't forget to share your experience via blog posts, social media, or videos to inspire others in the community! Special thanks to Pulumi for organizing such an engaging and rewarding challenge. Looking forward to more innovations in the intersection of AI and cloud infrastructure management! GitHub: https://lnkd.in/gmWwnayg #pulumi #gptyouriacchallenge #infrastructureautomation #cloudcomputing #devops #ai #techchallenge #techinnovation

What’s the secret sauce to platform engineering? 💡 According to Haseeb Budhani, CEO of Rafay, enterprise need to give “engineers powerful self-service capabilities while maintaining those critical guardrails. When you nail the balance of giving teams both speed and safety, they can build amazing things.” 🚀 If you’re like looking to speed up your cloud-native and AI journey with tools to help platform teams better serve their developers and data scientists — while managing cloud costs and complexity — Rafay will be at #KubeCon + #CloudNativeCon 2024. Visit booth R32 to demo how the company enables a GPU PaaS, GenAI playgrounds, ML workbenches and multi-tenant Kubernetes. More from the CEO in VMblog: #cloudnative #Kubernetes #cloud #AI #platformengineering

The Cloud Native Computing Foundation defines Cloud Native as: The Cloud Native Computing Foundation defines Cloud Native as a way for organizations to build and operate scalable applications in modern, dynamic environments like public, private, and hybrid clouds. This approach utilizes technologies such as containers, service meshes, microservices, immutable infrastructure, and declarative APIs. These techniques enable the creation of loosely coupled systems that are resilient, manageable, and observable. With the aid of robust automation, engineers can make significant changes frequently and predictably with minimal effort. The Cloud Native Computing Foundation aims to promote and sustain the adoption of this paradigm by nurturing an ecosystem of open-source, vendor-neutral projects, democratizing cutting-edge patterns to ensure accessibility for all. #PIAIC #ziaukhan #CloudNative #ArtificialIntelligence #Innovation #LearningJourney #TechEnthusiast #MuhammadUsmanAkbar #cncf #cnai #innovation #cloudnativeaidevelopment #CloudNative #APM #Observability #Scalability #Containerization #MicroservicesArchitecture #DevOps #ServerlessComputing #DataManagement #Agility #Automation #MonitoringandObservability #Resilience

The tech landscape for August 16, 2024, is buzzing with significant updates. Karpenter has hit version 1.0.0, bringing robust auto-scaling and compute management to Kubernetes clusters. Designed to improve application availability and reduce operational overhead, Karpenter automates node provisioning and de-provisioning, ensuring efficient resource utilization and cost savings. Users can now control disruptions and leverage features like node management through the drift feature, with AWS recommending thorough testing in non-production settings. Meanwhile, Kubernetes 1.31 ushers in substantial upgrades with 45 enhancements. Key updates include kube-proxy capabilities, PersistentVolumes timestamps, AppArmor support, and 11 features now stable. Significant beta features encompass IP address management and routing tools, while new alpha capabilities introduce native volume support for OCI objects. Deprecations focus on moving away from in-tree cloud provider integrations to embrace external support, simplifying management at scale. In the business realm, Amazon's Prime Day 2024 smashed records, leveraging AWS’s full suite of services to ensure seamless operations. Platform9 and Rafay Systems unveil advanced Kubernetes cost optimization tools, addressing the growing need for efficient cloud operations. These innovations highlight the critical role of automation and AI in managing Kubernetes infrastructures,

🚀 Scaling Smarter... 🏌♀️ Thank you for the overwhelming response to my previous post on Non-Functional API Aspects! 🙌 🌐 As businesses embrace digital transformation, APIs have become the backbone of modern applications. 🌟 Azure API Management (APIM) offers a robust platform to manage, secure, and optimize APIs across all environments. 🌐 Let’s dive deeper into the benefits and explore some real-world use cases. 📈 Abstract Backend Complexity: APIs abstract the diversity and complexity of backend architectures from API consumers. Whether you’re dealing with legacy systems or modern cloud services, APIM provides a consistent facade for API implementations. 🔒 Secure Exposures: APIM allows you to securely expose services hosted on Azure or external platforms as APIs. Even you can control access and protect your backend services by using features like API keys and authentication. 🛠 Accelerate and Observe: APIM accelerates API development by providing tools for monitoring, throttling, caching, and observability. It also ensures optimal performance and helps you identify bottlenecks. 💡 API Discovery and Consumption: you can easily discover the internal and external users of APIs and can consume APIs through APIM’s developer portal. It simplifies the process of integrating APIs into applications. 🚀 Ready to Elevate Your APIs? Whether you're a startup aiming for rapid growth or an enterprise seeking digital innovation, Azure API Management empowers you to unlock the full potential of your APIs. 🔗 Learn more about Azure API Management Overview 🌐 Feel free to share your thoughts and experiences in the comments! Let’s keep the conversation going. 🚀 #ajaykumar #azure #azurearchitect #APIManagemen #APIs #DigitalTransformation #CloudComputing

AI-assisted monitoring for cloud services can be summarized as follows: ✅ Intelligent Monitoring: Utilizes service-oriented architecture and microservices to enhance scalability and flexibility, addressing challenges like offline testing and bug detection before software release. ✅ Data-Driven Insights: Studies a year’s worth of production incidents to inform improvements in monitoring, identifying primary reasons for misdetections and emphasizing the need for accurate monitoring parameters. ✅ Structured Ontology: Proposes a structured ontology for monitors, categorizing different types of resources and service-level objectives, aiding in the organization of monitor data. ✅ Recommendation Framework: Develops a deep learning framework to recommend monitors based on service properties, using prototypical learning networks for stronger generalization capabilities and ensuring production-quality recommendations. Read the full article here: https://lnkd.in/d7Nhigs7

Excited to delve into the world of Istio Service Mesh! 🚀 Istio is an open-source service mesh that lets you connect, monitor, and secure microservices deployed on-premise, in the cloud, or with orchestration platforms like Kubernetes and Mesos.Istio empowers teams to efficiently manage microservices with its powerful components: 🔹 Envoy Proxy: Envoy sidecar proxies serve as Istio’s data plane. Built-in features such as failure handling (for example, health checks and bounded retries), dynamic service discovery, and load balancing make Envoy a powerful tool. Envoy also provides information about service requests through attributes.. 🔹 Pilot: Istio uses Pilot to manage load balancing traffic controls based on your Envoy configurations. As with Mixer, you can include adapters so Pilot can communicate via API with your Kubernetes infrastructure about deployment changes affecting traffic. Pilot also distributes authentication rules to proxies. 🔹 Mixer: Istio’s policy and telemetry hub gathers Envoy attributes about service requests within the mesh, and provides an API so DevOps teams can build plugins (or adapters) to repurpose those attributes within any number of third-party backends, including logging, authorization, or monitoring tools—such as New Relic (more on this below). Mixer also handles authorization between proxies using mutual TLS. 🔹 Citadel: With Citadel, Istio provides a robust, policy-driven security layer for authentication and credential management between Envoy proxies. Citadel manages keys and certifications across the mesh. With Istio, streamline your microservices architecture for enhanced observability, security, and reliability. Ready to unlock the full potential of your service mesh? Let's connect and explore Istio together! #ServiceMesh #Istio #Microservices