Excited to share how Skai leveraged Datadog for seamless observability during our recent cloud migration project. Discover how our strategic approach to observability paved the way for a successful transition in this case study 👏🏼 #Datadog #CloudMigration
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Geez- 40% faster developer velocity, $800k saved, AND finished a cloud migration? Skai leaned into unified observability, consolidating 5 tools and maintaining comprehensive visibility into both their on-prem and AWS environments, using Datadog as their single source of truth. Read more here: https://lnkd.in/edXtgXiS
Skai turns to Datadog to track mission critical phases of its AWS migration | Datadog
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Implementing AIops in a multi-cloud environment offers tangible benefits, enabling the Technology Operations team to alleviate pressure and redirect their focus towards transformative and strategic initiatives. With AIops, teams can optimize operations, enhance efficiency, and mitigate risks, ultimately yielding a substantial return on investment. Where does the tipping point lie in this seamless integration of AIops solutions, unlocking value across diverse cloud environments? #AIops #MultiCloud #Efficiency #Transformation #roi https://lnkd.in/g6ACwyut
How observability and AIOps eliminate the IT blame game
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Dashdive (YC W23) granularly breaks down AI and cloud costs by feature and customer. Attributing these costs at the endpoint invocation level using distributed tracing and continuous profiling for each of their customers means they need to ingest thousands of usage events, at high throughput, per second. Porter provides them with the scalable and performant infrastructure necessary from day one. “The tooling we need would normally only be available to our engineering team if we were at a larger company, but it all came out of the box with Porter, so we were ready to scale from the start without worrying about the undifferentiated heavy lifting on the infrastructure side.” - Adam Shugar, Co-Founder and CTO of Dashdive Read the full case study here: https://lnkd.in/eMD2jESn Need to deploy your workloads on highly performant infrastructure? Apply for the Porter startup deal here: https://lnkd.in/dkVafwqv
How Dashdive uses Porter to handle a billion requests per day
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🌐 Insider Preview: Sumo Logic's Strategic Vision for Cloud Operations in 2025 In an eye-opening interview with VMblog ahead of #AWSreInvent 2024, Bill Peterson from Sumo Logic offers a compelling glimpse into the future of cloud observability. https://lnkd.in/gZ6PgNk5 Key highlights: * #AI-powered log #analytics transforming #DevSecOps * Dynamic #observability as the next frontier * Cutting-edge solutions for faster, more secure digital environments Peterson predicts a breakthrough year where AI and machine learning will reshape how organizations monitor complex, distributed systems. From predictive analytics to automated incident resolution, Sumo Logic is at the forefront of technological innovation. Bonus: They're hosting the epic Sumo Slam Jam at Omnia - an event you won't want to miss! 🎉 #CloudComputing
Sumo Logic Will Showcase AI-Powered Observability Solutions at AWS re:Invent 2024: A Deep Dive into Cloud Operations and Security
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I'm thrilled to share the general availability of the #Azure Essentials Resource Kit, featuring comprehensive guidance and architecture for #AI within the Cloud Adoption Framework (#CAF) and Well-Architected Framework (#WAF). This resource kit is designed to help organizations adopt AI at scale, ensuring reliability, security, and performance. With detailed step-by-step guidance, best practices, and industry-leading recommendations, Azure Essentials is your go-to resource for maximizing the value of your cloud and AI investments. Learn more about it here: aka.ms/AdoptAI #Azure #AI #CloudComputing #Innovation #TechNews
Announcing comprehensive guidance for AI adoption and architecture | Microsoft Community Hub
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As technology landscapes grow increasingly complex, teams must enhance efficiency by leveraging advanced AI and automation to maximize engineers' productivity. Check out the 2024 State of Observability where 1300 CIO's shared their insights.
In our 2024 State of Observability report, we surveyed 1,300 CIOs and technology leaders from large organizations worldwide, who shared with us the pressing need for a mature AI, analytics, and automation strategy to overcome the challenges of modern cloud environments. Dive into some of our takeaways in this piece from DZone's C. Thomas (Tom) Smith, III: https://dynatr.ac/49KM8By
The State of Observability 2024 - DZone
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Simplified Enterprise AI. In line with our philosophy to simplify infrastructure from cloud to edge, Nutanix has extended its AI infrastructure platform with a new cloud native offering, Nutanix Enterprise AI, which can be deployed on any Kubernetes platform, at the edge, in core data centers and on public cloud services like AWS EKS, Azure AKS, and Google GKE. Nutanix Enterprise AI is designed to deploy, run and scale inference endpoints for large language models (LLMs), allowing organizations to deploy generative AI applications in a fraction of the time it would have taken to build a deployment workflow from scratch. More information on this release can be found at - https://lnkd.in/gTAxr8C8 #NutanixAI
Nutanix offers cloud-native AI deployment platform with predictable pricing - SiliconANGLE
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We’re excited to announce the launch of 𝐐𝐝𝐫𝐚𝐧𝐭 𝐇𝐲𝐛𝐫𝐢𝐝 𝐂𝐥𝐨𝐮𝐝, the first-ever managed vector database you can deploy anywhere—cloud, on-premise, or edge— designed for true deployment flexibility, data sovereignty, privacy, and control. Why is this big? 🚀 Deployment flexibility and data sovereignty are critical as the industry moves from prototyping to deploying production-ready AI applications. Easy integration with existing systems complements these advantages, streamlining both development and operations. 𝐊𝐞𝐲 𝐛𝐞𝐧𝐞𝐟𝐢𝐭𝐬 𝐨𝐟 𝐮𝐬𝐢𝐧𝐠 𝐇𝐲𝐛𝐫𝐢𝐝 𝐂𝐥𝐨𝐮𝐝: ✔️ 𝐃𝐞𝐩𝐥𝐨𝐲 𝐀𝐧𝐲𝐰𝐡𝐞𝐫𝐞: Deploy Qdrant in any environment of choice with our Kubernetes-native design. ✔️ 𝐅𝐮𝐥𝐥 𝐃𝐚𝐭𝐚 𝐒𝐨𝐯𝐞𝐫𝐞𝐢𝐠𝐧𝐭𝐲: Enjoy privacy control with decoupled data and control planes with complete database isolation. ✔️ 𝐅𝐮𝐥𝐥𝐲 𝐌𝐚𝐧𝐚𝐠𝐞𝐝: Enjoy the benefits of a managed vector database within your own environment. ✔️ 𝐄𝐟𝐟𝐨𝐫𝐭𝐥𝐞𝐬𝐬 𝐒𝐞𝐭𝐮𝐩: One-line installation by simply adding your environment to your Qdrant Cloud account. Learn more about Qdrant Hybrid Cloud and how it can benefit your #AI and #vectorsearch applications with the flexibility and control necessary for modern enterprise applications. Check out our official release announcement: https://buff.ly/3vTwtkw. Thank you to our trusted launch partners for their collaboration: Oracle Cloud Infrastructure (OCI), Red Hat OpenShift, Vultr, OVHcloud, Scaleway, DigitalOcean, STACKIT, LlamaIndex, LangChain, Airbyte, Civo, Jina AI, Aleph Alpha, #Haystack by deepset. #QdrantHybridCloud #Qdrant #VectorSearch #VectorDatabase #AI #DataSovereignty
Qdrant Hybrid Cloud: the First Managed Vector Database You Can Run Anywhere
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✅ Storm Reply on Medium with article #22 #AWSLEARNPILLS: "Improve your business with Observability on Amazon Web Services (AWS)" by Vera Altamore, Cloud Solution Architect at Storm Reply. As technology continues to evolve, understanding and monitoring complex systems becomes increasingly crucial. This is where observability comes into play. It allows us to delve deep into understanding not just how software operates internally, but also to grasp the dynamics of the entire system and the interactions among various technologies. In this post, we'll break down observability in straightforward terms and discuss its significance in today's digital landscape. We'll also explore how it can be effectively implemented within the AWS ecosystem. Whether you're well-versed in tech or simply curious, join us as we uncover how observability can truly make a difference. 🚀 #Observability #AWS #Technology #StormReply #AWSLearnPills #CloudStory
Improve your business with Observability on AWS
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