StormForge

Today! We're tackling the cloud cost problem from two different angles: commitment insurance and resource optimization. Jaren Tilley from Archera and Erwin Daria will break it all down at 1pm ET. Save your spot! 👇

It's our favorite time of year when all roads lead to #KubeCon + #CloudNativeCon North America. We can't wait to connect with the #TeamCloudNative + #OpenSource community and share all our latest features + announce some exciting new ones! Come get all your Kubernetes resource management, rightsizing, and autoscaling questions answered. 🔗 Link to schedule a meeting in comments Cloud Native Computing Foundation (CNCF) #CNCF #cloudnative #kubernetes

Rate optimization—the process of reducing cloud spend by choosing the right pricing models and discounts—is a highly effective, low-effort strategy that offers immediate returns. However, rate optimization is just one of many tools organizations can reach for in pursuit of comprehensive cloud cost control. Kubernetes resource (or workload) optimization holds the key to long-term cloud efficiency gains, but it requires navigating some technical challenges in order to unlock the major potential savings. In this blog, Erwin Daria digs into the basics of resource optimization, why it’s so important, and how machine learning and automation help overcome the challenges. 🔗 Check it out: https://lnkd.in/emzBgu6x

🤔 Why don't more people optimize Kubernetes resources? Despite its importance, resource optimization is often seen as the least glamorous part of cloud cost management. Why? Erwin Daria discusses that and more in this blog. Check it out 👇 https://lnkd.in/emzBgu6x #cloudcostmanagement #rateoptimization #kubernetesrightsizing #kubernetesresourcemanagement #kubernetes

We've seen firsthand how combining pod and node rightsizing increases Kubernetes efficiency. In our experience helping users achieve pod efficiencies with Optimize Live, we often see Karpenter setups that leave users missing out on potential node efficiencies. We're now offering a free 60-minute analysis of how your organization can best use Karpenter. Our Karpenter experts will work with you to: 🩺 Diagnose issues or errors by testing various scenarios live (like reducing churn by changing how reserved resources are set) 👀 Look at using features like disruption budgets, and taints and tolerations for optimization opportunities ❓ Get technical questions answered about CPU and memory configurations specific to your environments You can take advantage of this service directly from the Amazon Web Services (AWS) marketplace ➡️ https://lnkd.in/ec9uEYSb

This week on Learn Kubernetes Weekly 102: ⚖️ Load balancing and scaling long-lived connections in Kubernetes Daniele Polencic ⚒️ Build your service mesh Ramón Berrutti 📈 Optimizing database performance: Exploring pgpool2 deployment on Azure Kubernetes Service @Fadareakbalogun 🙉 Learned it the hard way: Don’t use Cilium’s default pod CIDR Isala Piyarisi 💸 Reducing cloud costs of Kubernetes clusters Iya Lang And more! If you prefer to receive the newsletter every week in your inbox, you can subscribe here: https://lnkd.in/gAsGumWd 🌟 Are you ready to double your Kubernetes resource utilization? StormForge, the sponsor for this issue, has built an HPA-compatible vertical pod rightsizing solution designed to help you save Mem/CPU and optimize your cloud bill. You can try it for free here https://lnkd.in/gQ-vfaVs

The right autoscaling strategy starts with right profiling your applications. When thinking about Karpenter this is even more important, since Karpenter will scale Nodes based on your pending pods, considering the resource requests, what we call an application first auto scaling. StormForge provides a solutions to help you right size your workloads and save costs with your apps, aligned with Karpenter is a very powerful strategy.

Tomorrow's You Choose is about cloud cost! Join Viktor Farcic & me for 'You Choose!' tomorrow (Tues) & learn about cloud cost tools OpenCost, CAST AI, and StormForge! ...then VOTE for which one gets implemented into our ongoing demo! Click 'notify me': https://lnkd.in/gJ6uyeMg ♫ With fabulous guests Matt Ray, Yasmin Rajabi, and Phil Andrews!

Lots of great 🧠 takeaways from this discussion about the Kubernetes Resource Model. Check it out 👇

There are a lot of different ways to tackle cloud costs, so how do you know where to start? Discover how combining rate and resource optimization provides a powerful one-two punch. Erwin Daria lays out the details in this blog: https://lnkd.in/emzBgu6x #CloudCostManagement #CostOptimization #ResourceManagement