Best of CI/CD — February 2026

  1. 1
    Video
    Avatar of techworldwithnanaTechWorld with Nana·14w

    Why DevOps Demand Is Exploding in 2026 (And How To Take Advantage)

    DevOps skills are experiencing unprecedented demand in 2026 due to five converging factors: accelerating cloud adoption, Kubernetes becoming standard, cybersecurity requirements driving DevSecOps, infrastructure-as-code becoming mandatory, and AI both increasing DevOps value while creating MLOps demand. Companies struggle to fill positions (staying open 3x longer than other IT roles) because DevOps requires a rare combination of development, infrastructure, automation, security, and monitoring skills. The opportunity window mirrors software engineering's golden period from 10 years ago—high demand, low supply—but won't last forever. With structured learning focusing on fundamentals first (Linux, Git, Docker, CI/CD) then building up (cloud, Kubernetes, Terraform, monitoring), you can become job-ready in 6-9 months. Common mistakes include learning tools in isolation, surface-level sandbox practice, underestimating opportunity cost, and not documenting progress publicly.

  2. 2
    Article
    Avatar of nxNx·12w

    A Monorepo Is NOT a Monolith

    Common objections to monorepos are addressed and debunked one by one. A monorepo is not a monolith — deployment and repository structure are orthogonal concerns. Code ownership can be enforced at the folder or project level using tools like GitHub CODEOWNERS or Nx's @nx/owners. Module boundaries and dependency constraints prevent the 'big ball of mud' problem. CI scalability is solved through affected-only builds, remote caching, distributed task execution, and test atomization. AI coding agents actually benefit from monorepo structure rather than being overwhelmed by it. Real challenges include the need for trunk-based development, more sophisticated CI setup, and careful handling of breaking changes to shared libraries.

  3. 3
    Article
    Avatar of freecodecampfreeCodeCamp·14w

    Build a Production-Ready Pipeline with Docker, CI/CD & Hostinger

    A comprehensive 4-hour video course teaches how to containerize a full-stack React, Go, and MongoDB application using Docker and Docker Compose. The tutorial covers creating separate development and production environments, pushing images to DockerHub, deploying to Hostinger both manually and through terminal, and setting up automated CI/CD deployment using GitHub Actions. The course progresses from local development through containerization to production deployment with automated pipelines.

  4. 4
    Article
    Avatar of frontendmastersFrontend Masters·12w

    How I Setup Production-Grade Deployment for My (Somewhat) Vibe-Coded App – Frontend Masters Blog

    The CEO of Frontend Masters shares how he built and deployed Goalzi, a social goal-setting app written in Go, using a production-grade AWS stack. The app was built with Go's standard library and AI assistance (Cursor) for the finishing touches. The deployment pipeline uses AWS App Runner, ECR, SSM Parameter Store for secrets, SES for email, Supabase for Postgres, and Route 53 for DNS. A single `make deploy` command runs tests, applies SQL migrations via a one-off Docker container, builds a multi-stage Docker image tagged with the git SHA, and pushes to ECR. Key practices covered include proper IAM scoping, secrets management via SSM, environment-consistent migrations, syncing production data locally, and configuring SES with DKIM/SPF/DMARC for reliable email delivery.

  5. 5
    Video
    Avatar of bytemonkByteMonk·14w

    How Stripe Built AI Agents That Write 1,000+ Pull Requests a Week

    Stripe's internal AI coding agents, called 'minions', autonomously merge over 1,000 pull requests weekly through a six-layer system architecture. The system combines an open-source agent fork with Stripe-specific infrastructure: Slack-initiated workflows, pre-fetched context via MCP (400+ tools), isolated dev boxes, hybrid deterministic-LLM execution, tiered validation (linters, selective CI tests, capped retries), and standard PR workflows. The key insight is that existing developer productivity tools work equally well for AI agents, with the real engineering challenge being the harness around the agent rather than the agent itself.

  6. 6
    Article
    Avatar of phProduct Hunt·14w

    chowder: Single API for launching OpenClaw instances.

    Chowder provides a unified API for deploying and managing OpenClaw instances with full infrastructure support. It enables developers to spin up isolated instances in seconds, connect them to 11 messaging channels, install skills, manage authentication, and persist memory through an OpenAI-compatible API interface.

  7. 7
    Article
    Avatar of aspnetASP.NET Blog·15w

    .NET Framework 3.5 Moves to Standalone Deployment in new versions of Windows

    .NET Framework 3.5 will no longer be included as an optional Windows component starting with Windows 11 Insider Preview Build 27965. Instead, it must be installed via a standalone installer for legacy applications. This change affects future Windows releases but not Windows 10 or Windows 11 through 25H2. The shift aligns with .NET Framework 3.5's approaching end of support on January 9, 2029, and Microsoft encourages migration to newer .NET versions. Detailed guidance, installers, and migration paths are available on Microsoft Learn.

  8. 8
    Video
    Avatar of codeheadCodeHead·15w

    Concepts EVERY DevOps Engineer Should Know

    A comprehensive overview of 10 essential DevOps concepts ranging from foundational to advanced topics. Covers version control workflows (Git Flow vs trunk-based), CI/CD deployment strategies (blue-green, canary, rolling), cloud fundamentals, container optimization with Docker, Kubernetes orchestration, monitoring vs observability (metrics, logs, traces), configuration management with Ansible, infrastructure as code with Terraform, immutable infrastructure patterns, and GitOps declarative deployments. Includes real-world examples from Netflix, Spotify, and Google demonstrating how these concepts impact deployment speed, reliability, and cost efficiency.

  9. 9
    Article
    Avatar of freecodecampfreeCodeCamp·15w

    How to Dockerize Your Application and Deploy It

    Docker packages applications with all dependencies into containers that run consistently across environments. This guide walks through containerizing a FastAPI-based LogAnalyzer Agent by writing a Dockerfile, building an image, handling environment variables securely, testing locally, and deploying to Sevalla cloud platform via DockerHub registry. The process transforms a local Python application into a production-ready service.

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