Articles tagged with "k3s"
Stacking more QA tests doesn't reduce production incidents, because it's fundamentally impossible to enumerate every edge case in advance. This article explains the 'design for failure' mindset behind feature flags, monitoring, and automated rollback in Kubernetes, plus a practical adoption roadmap for K3s environments.
The CNCF 'Graduated' badge is not a safety certificate. Drawing on TOC public meeting notes and official documentation, this article explains the real review process behind Sandbox, Incubating, and Graduated status, and how to judge OSS maturity before adopting it in production.
You're great at subnet design, so why does Pod-to-Pod communication in Kubernetes trip you up every time? We break down the fundamentals of Kubernetes networking—CNI, Service Mesh, and NetworkPolicy—by contrasting them with traditional network design.
Every new dev, test, and staging environment adds to your Kubernetes cloud bill. Learn how namespace isolation, ResourceQuota, and a hybrid dedicated-cluster-for-production model balance cost and isolation.
Kubernetes high availability isn't achieved simply by adding more replicas. Using the broadcast industry's SMPTE ST 2022-7 dual-path transmission as a lens, this article unpacks what Topology Spread Constraints and multi-AZ design actually mean.
The quality-gate mindset and test automation skills QA engineers already have map directly onto Kubernetes operations aptitude. Here's a realistic six-month roadmap for making the switch, and how to clear the biggest obstacle in the way.
Generating Kubernetes manifests at AI speed doesn't make production Kubernetes operations faster. This article breaks down three real bottlenecks — CPU throttling, the HPA/VPA conflict, and database connection starvation — and how to split the work between AI and humans.
Shadow AI isn't just unauthorized SaaS tools. It's happening inside your Kubernetes clusters too. Here's the risk it creates, and how Admission Control turns detection into real governance.
An explainer on the relationship between platform engineering and Kubernetes — the design philosophy of shielding developers from K8s complexity, the three pillars of building an IDP, and managed K3s as an alternative.
Most production incidents happen because teams deploy everything at once. This article walks through how to design canary releases, automated rollback, and monitoring on Kubernetes using Argo Rollouts and GitOps — with practical steps small teams can actually sustain.
As VMware migration costs and cloud bills climb in 2026, more companies are reconsidering private cloud. This article examines the real build cost and Day 2 operational burden of self-managed OpenStack + K3s, using actual operational data and industry statistics, to clarify when in-house builds make sense versus a managed Kubernetes service.
As AI automates infrastructure, are DevOps engineers really becoming irrelevant? The reality is the opposite — demand for MLOps Kubernetes talent is surging. Here are the 5 skills you need in 2026.
CNCF's 2026 survey shows 66% of GenAI organizations run on Kubernetes. From GPU scheduling to multi-tenancy and cost optimization — here's why K8s has become the de facto AI platform, and how managed K8s can cut your build time to zero.
What is the 'stage-skipping trap' that DevOps engineers fall into? A comprehensive guide to why Managed Kubernetes is the optimal solution, explained through infrastructure evolution theory
Explore how to leverage Kubernetes v1.36 'Haru' enhanced User Namespaces and security features in K3s lightweight environments. Discover managed K3s operational strategies and 2026 infrastructure selection guidelines that achieve 60% cost reduction compared to EKS.