StormForge’s Post

🙌Ready to finally start autonomously #rightsizing those #Kubernetes workloads? Kick off your 30-day trial of StormForge Optimize Live right now and your initial recommendations will start to populate within one hour! 👉 https://lnkd.in/eArrbaya

Kubernetes Event-Driven Autoscaling (KEDA) is an advanced open-source project, that builds on the HPA to provide significantly more flexibility, easy-to-use options for various metrics out of the box, and the important ability to scale applications to zero. KEDA configures the HPA to manage pod activity effectively, ensuring responsiveness remains consistent while accommodating dynamic environments. This makes KEDA particularly useful for workloads that see fluctuating traffic or spikes due to events. KEDA offers a more nuanced approach to autoscaling that aligns with modern, event-driven application demands. KEDA was designed to extend the horizontal autoscaling capabilities of Kubernetes, enabling precise and more efficient scaling decisions. Its scaling actions are based on various event sources and metrics, addressing the critical challenges that HPA faces in diverse operational contexts. Learn more about in this guide 👉 https://lnkd.in/dGYvPhZr

What phase are you at on the Kubernetes Resource Management Journey?

Take a deep dive into #Karpenter - the open-source Kubernetes autoscaling project that was donated to the Cloud Native Computing Foundation (CNCF) by Amazon Web Services (AWS). Karpenter optimizes how Kubernetes clusters scale their worker nodes to maximize resource efficiency and cost optimization, especially compared to traditional autoscaling tools like the Cluster Autoscaler. In this comprehensive overview, you'll learn all about: 🏗 Karpenter’s architecture ✅ Benefits 🎯 Installation guidance ⚒ Best practices for effectively leveraging Karpenter. Learn all about it 👨💻 https://lnkd.in/dQJhZmzQ

💡 TONS of great resources in this edition from Learnk8s: Long-live tokens, Impact of GIT branches on Argo, Surviving OOM in Java, Network traffic shaping, Bottlerocket with EKS, 2023 vulnerability roundup. Check it out 👇

When Rafael Brito opened the first Kubernetes cluster to hundreds of users in 2016 as the platform engineering manager of a large bank, he borrowed the phrase “benign neglect.” That supposedly benign neglect was about managing Kubernetes resource primitives. His launch plan quickly backfired, with users complaining that they could not schedule pods due to a lack of resources, and the internal virtualization team confused about how the entire cluster had only 15% CPU utilization on the virtualization layer, yet hundreds of users were unable to access the available resources. Rafa shares his personal story navigating the Kubernetes Resource Management Journey with The New Stack. Back in 2016, he was one of the first to experience something that we now see Kubernetes teams struggle with every day. Read about his journey and the lessons he learned 📖 ➡ https://lnkd.in/eehZHHBF #kubernetes #kubernetesresourcemanagement #k8s #kubernetesoptimization #kubernetescostoptimization #sitereliabilityengineering #SRE

The Vertical Pod Autoscaler (VPA) aims to automate pod rightsizing to reduce operational overhead and improve cluster efficiency, but less than 1% of Kubernetes organizations use it, according to Datadog's annual container report — presumably because it can't be used with the Horizontal Pod Autoscaler (HPA), and other limitations Read this guide to learn: ⚙ How the VPA works 🏘 Its architecture 👩💻 How to install it 🚫 Its limitations With that, you can determine if the VPA adequately fulfills your requirements to automate pod rightsizing. https://lnkd.in/de47BWsV

We hear about these cloud waste challenges every day. There are some really insightful comments on this post with folks sharing their biggest AWS cloud waste challenges and the strategies they've implemented to overcome them.

Come see how workload rightsizing increases availability. We'll be sharing a real-world journey 99.99% uptime. Come on out to SREday in SF this Saturday!

📢 The inaugural edition of our Kubernetes Optimization Digest newsletter is hot off the digital presses! Stay tuned for a monthly update sharing educational resources and tutorials to help platform and DevOps, SREs, Cloud Architects, and Kubernetes Administrators optimize Kubernetes efficiency. 📬 📥 Subscribe to get the update delivered straight to your inbox.