When Kubernetes first took off, everything started with one question: Where will your cluster live? No matter the size of your environment or the tools you used, every setup began with a host cluster. It was the foundation you couldn’t skip, until now. With our latest release, that dependency disappears. It’s a fully self-contained control plane that runs anywhere: in a CI pipeline, on a laptop, or on bare metal, giving teams a fast and portable way to start Kubernetes instantly. In this deep dive, Saiyam Pathak walks through how Standalone vCluster simplifies the entire stack, removing layers of setup, vendors, and overhead, and why it marks a new chapter in Kubernetes tenancy. 🎥 Watch the full video: https://lnkd.in/ghCQ59CP #Kubernetes #vCluster #CloudNative #PlatformEngineering #MultiTenancy
How Standalone vCluster simplifies Kubernetes setup
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🚀 vCluster v0.29 is live! The finale of our Future of Kubernetes Tenancy launch series is here with vCluster Standalone, solving the long-standing host cluster dependency once and for all. Key highlights: ✅ vCluster Standalone: Run Kubernetes without a host cluster by installing the control plane directly on bare metal or VMs. ✅ Cluster One Solved: vCluster itself becomes the foundational cluster - no Rancher, Talos, or K3s required. ✅ Composable & Scalable: Add worker nodes via Private Nodes, or scale to production-grade High Availability (HA) with multiple control-plane nodes + embedded etcd. ✅ Portable Foundation: Deploy anywhere, bare metal, VMs, on-prem, or in air-gapped environments. 👉 See the full release notes: https://lnkd.in/ge3Gc4kY #Kubernetes #vCluster #CloudNative #PlatformEngineering #DevOps #MultiTenancy
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Kubernetes 101: Container Orchestration Explained From Google's secret weapon to every developer's Swiss Army knife: Learn why Kubernetes makes traditional container management look prehistoric. https://lnkd.in/gJRyeUM9
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🌟 New Blog Just Published! 🌟 📌 What Operators Reveal About Platform Reliability 🚀 ✍️ Author: Hiren Dave 📖 On last Tuesday , a high-availability Kubernetes cluster demonstrated a flawless reconciliation loop: the custom operator observed the desired state, updated the actual resources, and the system...... 🕒 Published: 2025-10-23 📂 Category: Tech 🔗 Read more: https://lnkd.in/ds5AH3ih 🚀✨ #kubernetes #operator #reliability
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🚀 Day 55 of #100DaysOfDevOps: Kubernetes Deployments & NodePort Service Today’s task was to make applications highly available and scalable using Kubernetes Deployments. Task breakdown: 1️⃣ Created a Deployment with: Image: nginx:latest Replicas: 3 Container Name: nginx-container 2️⃣ Exposed it using a NodePort Service with port 30011. 3️⃣ Verified pods were distributed and serving traffic through the NodePort Why This Matters: • Deployments ensure your application has the desired number of replicas running — if a pod fails, Kubernetes spins up a new one. • NodePort Services make your application accessible outside the cluster via a static port. • This forms the foundation of scaling & resilience in Kubernetes.
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Optimize your Kubernetes Pod placement for peak performance! This project intelligently injects #nodeAffinity rules, aligning Pods with external resources to drastically reduce #latency and #cost. Benchmarks show a 175-375% performance boost, ensuring consistent and optimal operations. https://lnkd.in/evwx7D5N
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🌟 New Blog Just Published! 🌟 📌 Multi-Zone Kubernetes: Balancing Cost and Reliability 🚀 ✍️ Author: Hiren Dave 📖 A planet-scale service must juggle two opposing forces: the need for reliability that survives an entire zone outage, and the imperative to keep the per-GB bill low enough to sustain a billion-user...... 🕒 Published: 2025-09-28 📂 Category: Tech 🔗 Read more: https://lnkd.in/dz-YacPG 🚀✨ #kubernetes #multi-zone #cost-reliability
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Tech Tip #4 – Use Lens IDE as a unified tool to manage Kubernetes cluster Summary: Lens IDE is the go-to solution for managing Kubernetes clusters, offering a unified view for interacting with multiple clusters, real-time monitoring, troubleshooting, and uniformity. It simplifies the complexity of Kubernetes commands, improves productivity, and allows for easy contribution and local machine usage. With Lens, you can manage any Kubernetes managed service in a uniform way, whether it's a cloud-service provider or a specialized Kubernetes provider. Read more details here: https://lnkd.in/ggVxNv4d #Kubernetes #LensDesktop #DeveloperTools #K8sManagement #CloudNative #OpenSource
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🌟 New Blog Just Published! 🌟 📌 Kyverno vs Kubernetes Policies: Which Wins? 🚀 ✍️ Author: Hiren Dave 📖 Kubernetes has become the de facto platform for container orchestration, yet its built-in policy mechanisms- ValidatingAdmissionPolicy , PodSecurityPolicy , and similar resources-address only a slice.... 🕒 Published: 2025-10-16 📂 Category: Tech 🔗 Read more: https://lnkd.in/dG36a6yX 🚀✨ #kyverno #kubernetespolicies #admissioncontrol
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🔍 Is your Kubernetes setup creating more problems than it solves? Many organizations start giving each internal team its own cluster - but that approach often leads to higher costs, operational complexity, and fragmented visibility. In our latest read, we explore why running multiple clusters for internal teams can be a waste - and how one cluster with a multi-tenancy strategy can deliver on isolation, control, and efficiency. Stakater 👉 Curious how to simplify infrastructure, reduce operational load, and maintain autonomy? Read the full blog here: https://lnkd.in/dSi3s3tF
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Andrew, Co-Founder & CTO at Densify, explains why managed Kubernetes services like AKS, EKS, and OpenShift don't solve fundamental resource optimization problems. Andrew breaks down how oversized CPU requests lead to expensive infrastructure scaling, regardless of whether you're using managed services or tools like Karpenter. Even with auto-scaling capabilities, if application teams request twice the CPU they actually need, the system will provision twice as many nodes to meet those requests. Conversely, undersized memory limits result in out-of-memory kills, creating reliability risks. Watch the full interview: https://ku.bz/YMHdrgqz4 This interview is a reaction to Grzegorz's episode https://ku.bz/yg_fkP0LN
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