In-depth guides on Docker, Kubernetes, AWS, CI/CD, AI/ML, and modern infrastructure — written by engineers, for engineers.
Showing 118–126 of 815 articles
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Build a multi-step AI agent using Claude API and LangGraph that analyzes your AWS costs, identifies waste, and autonomously applies rightsizing recommendations — cutting cloud bills by 20-40% with minimal human involvement.
Helm, Kustomize, and cdk8s compared for real teams in 2026 — when to use each, what they get wrong, how they handle multi-environment configs, and which one is actually worth learning.
Most LLM agent tutorials show toy examples. This post covers what production LLM agents actually need — persistent memory across sessions, reliable tool execution, structured planning loops, error recovery, and observability — with working code using Claude API.
AI agents that detect incidents, diagnose root causes, execute remediation, and write postmortems without human intervention are already running in production. Here is what agentic DevOps looks like and where it is heading.
Build a production-ready log pattern classifier using Claude API that automatically categorizes log lines into errors, warnings, anomalies, and noise — saving on-call engineers hours of manual log triage.
GitHub Actions, GitLab CI, and Jenkins compared on what actually matters: setup time, cost, ecosystem, Kubernetes integration, self-hosted runners, and which one to pick for your team in 2026.
StatefulSet pods stuck in Pending, Init, or CrashLoopBackOff? This guide covers the 6 most common causes — PVC binding, headless service missing, init container failures, pod identity issues — with exact kubectl commands to diagnose and fix each.
Hands-on review of ArgoCD Image Updater — the tool that automatically updates Kubernetes deployment images when new container versions are pushed. What it does well, its limitations, and how it compares to Flux Image Automation.
A practical comparison of AWS, Google Cloud, and Azure for DevOps engineers choosing where to invest learning time — covering job market demand, certification value, Kubernetes ecosystem, and which cloud fits which career path.