DevOps practices, tooling, and culture. CI/CD tool comparisons, infrastructure as code, container orchestration, and the workflows that bridge development and operations.
11 articles
Real benchmarks: uv installs Django + ML stack in 8s vs pip's 90s, Poetry's 50s, PDM's 38s. Why uv is fast (Rust + parallelism + PubGrub), what pip still does that uv doesn't, migration paths, and where Poetry's ergonomics still win.
Real Node.js compiled to WebAssembly running inside the browser tab. What works (Next.js dev, npm install, SQLite via WASM), what doesn't (native modules, Postgres, Python), and the use cases that actually changed in 2026: docs, interviews, AI agent sandboxes, SDK onboarding.
A practical guide to DevOps tooling for 2-10 person teams covering CI/CD, infrastructure as code, monitoring, error tracking, secrets management, feature flags, and incident management with real pricing.
OpenCost (CNCF, free, the data layer), Kubecost ($200-700/cluster/mo, polished UI), CAST AI (5-10% revenue share, auto-optimize). Real savings math, when each wins, and the hybrid pattern most large orgs use.
Backstage (OSS, $300-400K eng tax in year 1), Port ($20/dev/mo, 2-week time-to-value), Cortex ($35/dev/mo, scorecards-first). Real TCO at 50/200/1000 devs and the org-size crossover points.
Platform engineering builds Internal Developer Platforms (IDPs) -- self-service layers that abstract infrastructure complexity. Learn the five pillars, golden paths, tooling (Backstage, Crossplane, ArgoCD), anti-patterns, and when your org needs a dedicated platform team.
A curated list of free DevOps tools for startups and developers covering CI/CD, monitoring, IaC, containers, secrets management, and logging with real free tier limits and upgrade pricing.
A beginner-friendly explanation of Kubernetes concepts and architecture covering Pods, Deployments, Services, Namespaces, kubectl basics, and managed K8s pricing on EKS, GKE, and AKS.
A practitioner comparison of GitHub Actions, GitLab CI/CD, and Jenkins with real pricing data, performance benchmarks, YAML pipeline examples, and a decision framework for choosing the right tool.
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