Cloud computing and DevOps practices for teams that ship: infrastructure, deployment pipelines, and automation that work together. Learn to provision, deploy, and operate applications with confidence and repeatability. Covers the tools and habits behind short, boring releases.
A deployment-focused comparison of Langfuse's two self-hosting paths — the low-scale Docker Compose stack and the Kubernetes Helm chart v2.0.0 — covering bundled-store changes, migration ordering, and the managed-vs-self-managed Postgres decision.
A hands-on guide to the mechanics of Windmill flows: exposing input variables, binding step inputs to flow inputs and previous steps' results, the last-step return rule with its two exceptions, and authoring workflows as code.
A practical walkthrough of how the Hugging Face Hub stores datasets — from Git repository layout and Xet chunking to the Google Cloud backbone underneath.
A DevOps-oriented breakdown of Flowise's idle RAM footprint versus Dify, the four self-hosting paths (Docker, Railway/Northflank, VPS, Kubernetes), and a clear rule for when Kubernetes actually pays off.
A mid-2026 cost-benefit breakdown comparing self-hosted Coolify to Vercel, Render, DigitalOcean App Platform, and Fly.io — including the workloads where the cloud still beats self-hosting.
A walkthrough of a self-hosted CI/CD pipeline where GitHub Actions builds the Docker image, calls Coolify's deploy API, and runs a two-phase polling loop so failures surface in CI rather than disappearing silently.
A guided tour of Coolify's internals — SSH-based Docker deploys, the Sentinel metrics agent, dynamic Traefik routing, the upgrade script, and the Laravel/Fastify/SvelteKit codebase.
A head-to-head comparison of Coolify and Dokploy across orchestration (plain Docker vs Docker Swarm), control plane (Laravel vs Next.js), and Traefik editability.
A practical deployment guide for running Windmill on your own infrastructure using Docker Compose, covering the server-worker-Postgres architecture, the bundled Caddy stack, and VPS sizing.
A Dockerized RAG stack can start anywhere from three to eight containers before you ask a single question — and knowing exactly what each one does turns confusion into control. This walkthrough maps the Gradio, Ollama, Milvus, and NVIDIA NIM containers, follows a PDF through the four-stage…