14 articles
Master GitHub Actions in 2026 with production-ready CI/CD pipelines for Node.js, Docker, and AWS deployments. This guide covers workflows, secrets, matrix builds, caching, and reusable workflows for any team.
Design production CI/CD pipelines in 2026 with GitHub Actions: parallel quality checks, Docker builds, staging deploys, E2E tests, blue-green and canary releases, rollback strategies, and DORA metrics.
The complete DevOps engineer roadmap for 2026: essential skills, tools, certifications, salary data, an 18-month learning plan, and the differences between DevOps, SRE, and Platform Engineering roles.
Master GitHub Actions to build, test, and deploy applications automatically. Covers workflows, jobs, steps, reusable workflows, environments, matrix builds, and production CI/CD pipeline patterns.
An in-depth comparison of the three most popular CI/CD platforms in 2026: GitHub Actions, Jenkins, and GitLab CI. Covers pricing, setup, scalability, ecosystem, and which platform fits which team.
Learn how to build a production-grade CI/CD pipeline for Node.js applications using GitHub Actions, covering testing, linting, coverage, caching, and deployment to Vercel. Aimed at developers wanting automated, reliable Node.js workflows.
A complete guide to automating Docker image builds and registry pushes with GitHub Actions, covering Docker Hub, GitHub Container Registry, multi-platform builds, layer caching, and semantic versioning. Ideal for teams shipping containerized applications.
Master GitLab CI/CD from first pipeline to production-grade deployments — covering stages, jobs, services, artifacts, caching, environments, and Docker integration. Written for engineers moving beyond basic pipelines to real-world delivery workflows.
Master Jenkins declarative pipelines with stages, agents, post actions, and parallel execution. Build production-grade CI/CD automation using Jenkinsfile and pipeline-as-code best practices.
Implement GitOps with ArgoCD: declarative application delivery, automated sync policies, multi-cluster management, and rollback strategies for Kubernetes workloads.
A practical comparison of the three major Git branching strategies — Gitflow, Trunk-Based Development, and GitHub Flow — with concrete commands, tradeoffs, and guidance on which to use for your team size and release cadence.
Build code generation agents that parse specs, generate code with examples, validate syntax, run tests, and iterate until code passes.
Inject AI into GitHub Actions for intelligent test selection, semantic PR reviews, auto-generated changelogs, and cost-aware CI pipelines.
End-to-end MLOps infrastructure for LLMs including CI/CD pipelines, automated evaluation, staging environments, canary deployments, and production monitoring.