Technical articles on Kubernetes, K3s, and Proxmox
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.