Best of DevOps — March 2026

  1. 1
    Article
    Avatar of dhhDavid Heinemeier Hansson·8w

    ONCE (Again)

    DHH reflects on the pivot of the ONCE product line from paid self-hostable web apps to open source with permissive licenses. The original model—selling apps like Campfire for a one-time fee—only broke even. Releasing Campfire, Writebook, and the new Fizzy as free open-source projects proved far more successful, driving adoption and community contributions. The ONCE platform now offers a terminal interface for tracking app metrics (RAM, CPU, visitor counts), zero-downtime upgrades, and scheduled backups, positioning itself as infrastructure for self-hosted apps including those built by AI agents.

  2. 2
    Article
    Avatar of freecodecampfreeCodeCamp·8w

    CI/CD in Production with Jenkins

    A 17-hour Jenkins course covering CI/CD from fundamentals to production-grade DevSecOps has been released on freeCodeCamp's YouTube channel. Topics include modern SDLC, CI/CD concepts, branching strategies, Jenkins basics and installation, freestyle jobs, pipelines, multibranch pipelines, Maven for DevOps, DevSecOps, and Jenkins shared libraries. A hands-on project builds and deploys a Dockerized Flask app.

  3. 3
    Video
    Avatar of techworldwithnanaTechWorld with Nana·9w

    She Quit Her Stable Job to Become a DevOps Engineer (And is Now a Golden Kubestronaut)

    Anna Pedra, a former industrial engineer in medical devices, shares her journey switching careers into DevOps with no prior IT background. She outlines a 'triple proof strategy' for breaking into the field: professional cloud certifications (AWS, Azure), structured bootcamp training with hands-on projects, and a strong GitHub portfolio. Despite initial interview failures, she landed her first DevOps role at Swisscom after intense months of simultaneous studying, certifying, and applying. She left after less than a year to pursue more relevant Kubernetes and cloud work, and within two years exceeded her original senior salary. Key insights include why certifications alone are insufficient, how portfolio projects drive interview success, and why choosing the right first job matters for long-term career trajectory. She also achieved Golden Kubestronaut status, becoming the first in Switzerland and first woman in Spain to do so.

  4. 4
    Article
    Avatar of supabaseSupabase·9w

    Log Drains: Now available on Pro

    Supabase has launched Log Drains for Pro tier users, allowing them to forward logs from all Supabase infrastructure layers (Postgres, Auth, Storage, Edge Functions, Realtime, API Gateway) to external logging backends. Supported destinations include Sentry, Grafana Loki, Datadog, AWS S3, Axiom, and any generic HTTP endpoint. Logs are batched (up to 250 per batch or every second) with optional Gzip compression. Pricing starts at $10 per drain per project plus $0.20 per million events and $0.09 per GB egress. The feature enables centralized observability across the full stack without context-switching between the Supabase console and existing monitoring tools.

  5. 5
    Article
    Avatar of microservicesioMicroservices.io·7w

    Microservices Platforms - part 6: Build platform

    Part 6 of a series on Microservices Platforms, this installment covers the Build platform — the component responsible for providing deployment pipeline infrastructure, reusable pipeline components, and pipeline templates. The Build platform, alongside the Deployment platform, defines the path changes take from a developer's laptop to production, enabling service teams to focus on business value rather than pipeline management. Full content is behind a paywall.

  6. 6
    Article
    Avatar of freecodecampfreeCodeCamp·9w

    How to Use Docker Compose for Production Workloads — with Profiles, Watch Mode, and GPU Support

    Docker Compose has evolved significantly in 2024-2025 with features that make it viable for complex deployment scenarios beyond local development. Key improvements covered include: profiles for managing multiple environments from a single file, watch mode for instant file syncing without rebuilds, GPU passthrough for ML inference workloads, proper health checks with dependency conditions to eliminate startup race conditions, and Docker Bake integration for production image builds. The guide provides practical configuration examples for each feature, a week-by-week adoption path, and an honest assessment of where Compose still falls short compared to Kubernetes or full orchestration platforms.

  7. 7
    Video
    Avatar of anthonysistilliAnthony Sistilli·8w

    proof we live in a simulation

    A commentary-style video transcript covering a series of absurd real-world events framed as evidence we live in a simulation: the White House posting AI-generated war videos on Twitter, a viral McDonald's CEO burger review spawning a Burger King CEO clap-back, Taco Bell launching Mountain Dew Baja Blast under-eye patches, AWS blaming an outage on AI-assisted deployments (vibe coding), and McKinsey's AI platform getting hacked within 2 hours. The AWS incident is used to raise broader questions about AI as a corporate scapegoat and whether enterprise vibe coding is ready for production.

  8. 8
    Video
    Avatar of fknightForrestKnight·6w

    AI Has Broken the Internet

    Major cloud services including GitHub, Vercel, Cloudflare, and AWS have been experiencing unusually high outage rates, with GitHub averaging 90% uptime and 89 incidents in 90 days. The author argues AI is a key contributing factor, citing Amazon's Kiro AI deleting an entire live AWS Cost Explorer production environment causing a 13-hour outage, and Amazon Q deploying unapproved config changes that lost 6.3 million orders. The broader argument is that AI amplifies developer mistakes at scale — bad developers ship more bugs faster, AI-generated code floods GitHub, and open source projects are being overwhelmed with low-quality AI-generated pull requests. The author concludes that humans are ultimately responsible, urging developers and managers to slow down, review AI-generated code carefully, and prioritize quality over shipping speed.

  9. 9
    Article
    Avatar of opentelemetryOpenTelemetry·7w

    How Mastodon Runs OpenTelemetry Collectors in Production

    Mastodon, a non-profit decentralized social platform with ~20 staff, shares how a single engineer runs OpenTelemetry Collectors in production across two large Kubernetes deployments handling up to 10 million requests per minute. The setup uses one Collector per Kubernetes namespace, managed via the OpenTelemetry Operator and Argo CD, with no complex gateway tiers. Traffic is controlled through tail-based sampling (0.1% for successful traces, 100% for errors). The full production config is shared, including OTLP ingestion, Kubernetes metadata enrichment, resource detection, and Datadog export. Key lessons: keep architecture simple, use Kubernetes operators for lifecycle management, rely on semantic conventions, and upgrade frequently.

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