Deploying Apache Airflow to Production
Run Airflow in production with Docker Compose, Helm on Kubernetes, or managed services. Covers monitoring, logging, security, and database backends.
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Run Airflow in production with Docker Compose, Helm on Kubernetes, or managed services. Covers monitoring, logging, security, and database backends.
A practical guide to deploying Astro projects across major platforms: adapter configuration, environment variables, build settings, and platform-specific gotchas.
Understand blue-green, canary, rolling, and A/B deployment strategies with architecture diagrams, real configuration examples, and guidance on when to use each.
Implement robust environment promotion patterns with approval gates, environment protection rules, and automated validation at every stage.
Learn practical deployment patterns for ML models including Flask and FastAPI serving, ONNX export, and batch vs real-time inference architectures.
Learn the most popular CI/CD deployment strategies including blue-green, canary, and rolling deployments with practical examples and configuration.
Implement graceful shutdown in backend services. Covers signal handling, draining connections, health check coordination, and timeout strategies.
Build automated rollback systems that use health checks, error rate thresholds, and observability signals to detect failures and revert deployments without human intervention.
Harden your Django app for production — security settings, CSRF, XSS, SQL injection, HTTPS, headers, secrets, and deployment checks.
Deploy FastAPI to production with Docker, Gunicorn, Uvicorn workers, health checks, multi-stage builds, and best practices.
Deploy machine learning models as production REST APIs using FastAPI with input validation, async inference, and health checks.
Bundle your Node.js application into a single executable binary with no runtime dependency. Covers the SEA workflow and production tips.
How LLMOps differs from classical MLOps: evaluation, prompts as code, drift, cost, and the workflows that actually work in production.
Understand the difference between Astro integrations and adapters, when to reach for each, and how they shape your deployment pipeline.
A practical guide to evolving production databases safely: expand and contract, online schema changes, dual writes, backfills, and the trade-offs behind each strategy.
Compare blue-green and canary deployment strategies, including how they handle rollback, traffic shifting, and observability, with concrete Kubernetes and AWS examples.
Compare rolling, blue/green, canary, shadow, and feature flag deployments. Learn when to pick each strategy and the trade-offs in risk and cost.
An overview of rollback strategies in modern CI/CD: redeploy previous, blue-green flip, canary reverse, database-safe rollbacks, and the trade-offs between speed and safety.
Deploy FastAPI to production with Gunicorn managing Uvicorn workers. Cover process counts, timeouts, and health checks.
Learn what Helm charts are, how templates and values work together, and how to package your own application for repeatable, parameterized Kubernetes deployments.
Understand when to use Deployments vs StatefulSets, what stable identity buys you, and how to operate stateful workloads safely on Kubernetes.
How quantization shrinks LLMs to run on smaller hardware, the math behind 8-bit and 4-bit weights, and the trade-offs between speed, memory, and quality.
A hands-on walkthrough for shipping a Next.js app to Vercel — connecting Git, configuring environment variables, understanding preview deployments, and avoiding the usual production gotchas.
Compare Next.js static export and server runtime modes. Understand when each shines, how features differ, and how to choose without painting yourself into a corner.
A practical guide to production deploys with GitHub Actions — environments, secrets, OIDC, deploy-on-tag vs deploy-on-main, and pushing images to AWS, Vercel, or Fly.