Porter’s Post

🚀 Exciting K8s Update! 🚀 Hey #Kubernetes enthusiasts, I've got some fantastic news to share with you all! 👇 Kubernetes has just made a game-changing improvement that will significantly boost your cluster performance! 📈 They've increased the API query-per-second limits, which means faster pod startup times and smoother operations in large clusters. 🚀 Previously, the Kubelet's queries to the kube-apiserver were limited to just 5 requests/second in Kubernetes v1.26 or earlier. This limitation caused delays, especially in larger setups. But no more! With the new Kubernetes 1.27 release, the default kubeAPIQPS limit has been raised to 50! 🎉 This enhancement alone will lead to a remarkable improvement in pod startup times. Even better, the kubeAPIBurst limit has also been upgraded to 100! This allows kubelet to fire off 100 requests rapidly when needed, further optimizing performance. 💪 If you are running Kubernetes on VM-based setups, I'd recommend considering a kubeAPIQPS increase to 15 or 20. We don't want to overload the kube-apiserver. However, for those of you who have the mighty bare metal nodes, you can take advantage of their power! 💥 Bump kubeAPIQPS to 25-30 or even higher, and set kubeAPIBurst to 50. Your cluster will be unstoppable! 😉 By fine-tuning these settings, we can keep both kube-apiserver and kubelet happy, leading to a delightful Kubernetes experience for everyone involved. ☺️ Spread the word among your fellow Kubernetes enthusiasts and let's make sure everyone enjoys the benefits of this incredible update! ♻️ #kubernetes #kubernetesmanagement #kubernetesservices #devops #devopsjourney #devopsworld #cloudarchitect #cloudjourney

Is your developer's team struggling with slow builds and deployments? Then, it is time to optimize to attain peak startup time! Here's how: 1. CI/CD Power: Automate everything! Leverage containerization & incremental builds for lightning-fast updates. 2. Cache & Reuse: Don't reinvent the wheel! Utilize artifact caching & version control for efficiency. 3. Infrastructure Matters: Choose high-performance cloud providers & lightweight tools like Jenkins or GitLab CI/CD. 4. Monitor & Feedback: Be proactive! Track performance, identify bottlenecks, and constantly improve. 5. Lean Codebase: Write modular, reusable code & refactor regularly for agility.  Empower your team and let your startup grow! IAMOPS provides expert DevOps services to guide startups towards agile & efficient software delivery. Let's optimize your build & deployment, together! #devops #cicd #deploy #startup

Just discovered an amazing platform that effortlessly generates Infrastructure as Code (IAC). Impressed by its user-friendly interface and confident it'll streamline IAC development. Cheers to smoother workflows! #IAC #TechInnovation #DevOps

Opsera, a DevOps game-changer, just secured $12 million in funding! 💰 Discover how Opsera is revolutionizing software development for enterprises. 🌐✨ Read the full story: http://rb.gy/70x85 🔗 #DevOpsRevolution #Opsera #techStartUp #lennorHive

Learn more about PerfectScale Partner Program from this interview with Amichai Lesser, VP of Business Development at PerfectScale: https://hubs.la/Q027mrh-0 📍Visit https://hubs.la/Q027mzrk0 to learn more about partnership benefits and requirements and sign up for the program. 📍Sign up for a PerfectScale trial https://hubs.la/Q027mvwF0 📍Reach out to partners@perfectscale.io to discuss partnership options #PerfectScale #Kubernetes #K8s #Devops #devopsengineer #SRE #platformengineering #finops #CTO #EKS #AKS #GKE #openshift

Hey #LinkedInCommunity! Let's take a journey into the captivating world of Kubernetes and explore how the lifecycle of pods works in this incredible orchestration platform! 🌌 Pods follows a defined Lifecycle- When you create a Pod, it starts in the pending phase. If at least one of its primary containers starts successfully, the Pod moves to the Running phase. After its tasks are completed, the Pod transitions to either the Succeeded or Failed phase based on whether any container in the Pod terminated in a failed state. The following are the different State in the Kubernetes Lifecycle: 1.Pending State: The API server schedules a pod to a node. The pod enters the pending state while the container runtime on the node downloads the required image and starts any containers. The pod remains in the pending state until all its resources are up, ready, and available. 2. Running State: Once all resources are up and ready, the pod transitions to the running state. The pod is now actively executing its tasks and serving its purpose. 3. Succeeded State: After the pod has completed all of its tasks successfully, it finishes its work and gets terminated. The pod enters the succeeded state, indicating that it has fulfilled its purpose and can now be cleaned up. 4. Failed State: If a pod encounters an issue during startup or while running, it can't start or complete its tasks successfully. In such cases, the pod can either remain in the pending state (if the issues are temporary) or move to the failed state (if the issues are critical). #Kubernetes #PodLifecycle #ContainerOrchestration #CloudNative #DevOps #LinkedInTech #LearningInTech #learningeveryday #containerization #cicd

Amichai L. interview to ChannelBuzz.ca is an excellent spotlight to PerfectScale's new Partner program! Do read on if you are providing services in the Kubernetes space, as with this partnership, you can get into the most comprehensive Kubernetes optimization program out there, getting all the tools, knowledge, and support you may need to size and optimize customer Kubernetes environments effectively. https://lnkd.in/ex42FXD4 📍Get more info on the program and its requirements here: https://hubs.la/Q027mxmw0 📍Sign up for a PerfectScale trial https://hubs.la/Q027mvBl0 📍Reach out to partners@perfectscale.io to discuss partnership options #PerfectScale #Kubernetes #K8s #Devops #devopsengineer #SRE #platformengineering #finops #CTO #EKS #AKS #GKE #openshift

Let's speed up Kubernetes 👇 Kubelet relies on kube-apiserver to fetch pod details, such as their status and configuration. The problem: 🧐 - Kubelet was limited to just 5 requests/second to the kube-apiserver (before v1.26) - This behavior causes some delays in large clusters. What can we do? In Kubernetes 1.27, the default kubeAPIQPS limit was increased. In large cluster: This will enhance pod startup time. - The kubeAPIBurst (burst requests) limit jumps to 100,  - allowing kubelet to fire off 100 requests quickly when needed. On a VM based K8s setup: 1. You can increase kubeAPIQPS to 15 or 20.  2. I'm not recommending 50, let's just be real.  3. We don't want to overload the kube-apiserver. But, bare metal nodes are like the Hulk, strong and powerful! 💪 So consider bumping kubeAPIQPS to 25-30 (or even more) and kubeAPIBurst to 50. Learned something? If you did, do a Repost. It really helps ♻️ I'm Mutha. Follow me for Kubernetes, Devops and tech content. Before you leave, don't forget to SMILE 😁 #kubernetes #devops .

The birth of innovation often comes from solving real challenges. "Our journey began with a shared experience - a problem we all faced firsthand." - PipeOps, one of our Side Project Fund winners. Discover how PipeOps aims to make a difference in the DevOps landscape: https://tykio.info/47rnkNV #ProblemSolving #Innovation #DevOpsRevolution

Complicated devops in startups before you actually need is such time and money suck. Stick with docker as long as you can and move to kubernetes only when you run out of options. Company forgets why they exist after 11-week migration to Kubernetes