AI-powered tutorials · tools · insights — updated daily
A practical guide to Docker networking — bridge, host, and overlay drivers explained with real commands, container DNS, port publishing, and the debugging workflow for connectivity problems.
A practical guide to Kubernetes Jobs and CronJobs — one-shot tasks, parallel batch processing, cron scheduling, retry policies, and the production pitfalls that turn simple jobs into duplicate data and missed runs.
A practical guide to Kubernetes troubleshooting with kubectl — diagnosing CrashLoopBackOff, ImagePullBackOff, Pending pods, and connection failures with real commands and a repeatable debugging workflow.
A practical guide to Kubernetes persistent storage — PersistentVolumes, PersistentVolumeClaims, and StorageClasses with real YAML examples, dynamic provisioning, StatefulSet patterns, and the pitfalls that cause data loss.
A practical guide to Kubernetes Horizontal Pod Autoscaling (HPA) — how HPA works, metrics-server setup, CPU vs custom metrics, scaling policies, and the production pitfalls that cause thrashing.
A practical guide to Kubernetes RBAC — Roles, ClusterRoles, RoleBindings, and ClusterRoleBindings explained with real YAML examples, least-privilege patterns, and the mistakes that get clusters hacked.
A practical guide to Kubernetes ConfigMaps and Secrets — creating them, injecting config via env vars and volumes, secret types, and production best practices for keeping credentials out of your images.
A practical guide to Docker multi-stage builds — shrinking images from gigabytes to megabytes with build stages, build args, distroless base images, and caching strategies that speed up your CI pipeline.
A practical guide to SSH security hardening — key-based authentication, disabling password login, fail2ban, port knocking, jump hosts, and audit logging for production servers.
A practical guide to Helm charts for Kubernetes — install, create, customize, and manage application deployments with templates, values, and releases in production.
Learn how to use Git worktrees to work on multiple branches simultaneously without stashing or switching — a practical DevOps workflow guide.
A practical guide to Kubernetes networking — Services, Ingress, and NetworkPolicies with real YAML examples, traffic flow explanations, and production debugging commands.
A practical container security guide for DevOps teams — image scanning, running as non-root, read-only root filesystems, seccomp, secrets management, and runtime threat detection with real examples.
A practical guide to centralized logging — architecture comparison, Docker Compose setups, LogQL queries, and production best practices for choosing between ELK and Loki.
A practical beginner's guide to Ansible — install it, write your first playbook, manage inventory, use roles, and automate server provisioning with real examples.
A hands-on guide to setting up Prometheus and Grafana for monitoring — from installation and PromQL basics to building dashboards that catch problems before users do.
A beginner's guide to Terraform — infrastructure as code basics, providers, resources, state management, and your first AWS deployment with HCL.
A practical guide to Nginx reverse proxy — proxy_pass, SSL/TLS, WebSocket support, load balancing, caching, security headers, and real-world configs that ship to production.
From basic web+DB stacks to production-ready patterns — health checks, custom networks, resource limits, profiles, and real-world Compose files for multi-container applications.
A practical guide to Kubernetes liveness, readiness, and startup probes — with real YAML examples, failure scenarios, and best practices for production deployments.
The 60-second checklist, CPU profiling with perf and flamegraphs, OOM analysis, disk I/O debugging, network troubleshooting — a complete approach to diagnosing Linux performance issues in production.
Testing, Docker builds with layer caching, Trivy security scanning, environment protection rules, and SSH-based deployment — a complete production pipeline explained step by step.
Naming conventions, structured errors, cursor pagination, header-based versioning, rate limiting, and idempotency keys — production-tested patterns from real APIs.
ripgrep, fd, bat, eza, zoxide, fzf, jq and delta — faster, saner command-line tools every developer should install.
Tired of typing invoice data into QuickBooks? I built InvoiceFlow — forward an email, it auto-populates QB. Join the waitlist.
GitHub Copilot, Cursor, Codeium, Cody — tested head-to-head. Which AI coding assistant actually makes you faster?
From exec to events — the commands that turn Docker users into Docker masters.
From httpx to rich, these libraries replace verbose boilerplate with clean one-liners.
Beyond Prettier and ESLint — the hidden gems that make VS Code feel like a new editor.
Interactive rebase, bisect, worktrees — the commands that separate pros from beginners.