Container engineering resources covering Docker, Kubernetes, Helm, service mesh, and production container runtime operations for platform engineers.
Kubernetes 1.34 goes end of life on October 27, 2026. Two minor-version hops stand between you and a supported release — here's the sequence, the gates, and …
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v1.37 is scheduled for August 26, 2026. The deprecations in the official sneak peek are what will break clusters — here's what is confirmed, what is still …
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Kubernetes v1.36 ships User Namespaces, Mutating Admission Policies, and tighter security defaults. A practical upgrade guide for platform teams.
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Kubernetes DRA graduated to GA in v1.34, replacing legacy device plugins. Here's what the DRA + KAI Scheduler stack means for platform teams running GPU …
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A working checklist for hardening Docker and OCI containers in production — non-root users, read-only filesystems, capability dropping, seccomp, image scanning, …
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The container runtime under your Kubernetes cluster matters less than it used to, but the choice still affects performance, security posture, and operational …
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A platform comparison of Amazon EKS, Azure AKS, and Google GKE — control-plane cost, node-pool flexibility, GPU support, and upgrade mechanics.
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RBAC is the primary access control mechanism in Kubernetes. Getting it right is the difference between a cluster that scales securely and one that quietly …
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Operators automate day-two operations for stateful, complex Kubernetes workloads, but they're overkill for most apps. How to know which side you're on.
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Persistent storage in Kubernetes is more complex than it should be. Here's how the pieces fit together and how to avoid the common traps.
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The CNI plugin you pick shapes performance, security policy capabilities, and observability for the life of your cluster. Here's how the major options compare.
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Container image scanning is non-negotiable. Trivy is the most popular open-source scanner. Here's how to integrate it into CI without drowning in noise.
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Namespaces are Kubernetes's primary multi-tenancy mechanism — and the most misused. Here's how to design a namespace strategy that doesn't fall apart at scale.
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Picking a container registry seems like a small decision until pull rate limits, IAM integration, or geographic latency starts hurting you.
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Helm charts age into either useful abstractions or unmaintainable template soup. Here's the structure that keeps them on the right side of that line.
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Resource requests and limits drive scheduling, autoscaling, and stability. Getting them wrong wastes money or destroys reliability.
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Multi-stage builds, layer caching, base image selection, and the security practices that separate hobby Dockerfiles from production-ready container images.
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