21 articles
Complete MLOps guide for 2026: model versioning with MLflow, containerization, serving with FastAPI and Triton, monitoring, A/B testing, and CI/CD pipelines for ML models. Production patterns from top ML teams.
Master GitHub Actions in 2026: build CI/CD pipelines for Next.js, Node.js, and Python apps. Automated testing, Docker builds, deployments to AWS/Vercel, secrets management, and reusable workflows.
Master Kubernetes in 2026: deployments, services, ingress, ConfigMaps, secrets, HPA autoscaling, rolling updates, health checks, RBAC, and managed Kubernetes on AWS EKS, GKE, and AKS.
Deploy to Vercel in 2026: zero-config Next.js deployment, environment variables, edge functions, preview deployments, custom domains, Vercel Analytics, and the Vercel CLI.
Design production CI/CD pipelines in 2026: test automation, staging environments, blue-green deployments, canary releases, rollback strategies, and deployment metrics. Complete workflow examples.
Master PM2 for Node.js production in 2026: cluster mode, zero-downtime deploys, monitoring, log management, startup scripts, ecosystem configuration, and health monitoring.
Deploy Next.js applications to Vercel with optimal configuration and best practices.
Master Docker in 2026: multi-stage builds, Docker Compose, optimized Node.js and Python images, secrets management, health checks, and deploying containers to cloud platforms.
Complete pre-launch checklist for deploying LLM features to production. Cover security, performance, monitoring, compliance, and incident response.
Learn how to use feature flags to safely roll out LLM features, implement percentage-based rollouts, and build kill switches for AI-powered capabilities.
Feature flags for AI: model switching, percentage rollouts, targeting rules, cost kill switches, A/B testing, OpenFeature SDK integration, and per-flag quality metrics.
Comprehensive guide to versioning LLM deployments including semantic versioning, model registries, canary deployment, A/B testing, and automated rollback strategies.
Master ArgoCD''s App of Apps pattern, ApplicationSet for multi-environment deployments, sync waves for ordered rollouts, and disaster recovery strategies for production GitOps pipelines.
Master feature flags for safe deployments and controlled rollouts. Learn flag types, LaunchDarkly vs OpenFeature, percentage-based rollouts, user targeting, lifecycle management, detecting stale flags, and trunk-based development patterns.
Deploy globally on Fly.io without managing Kubernetes. Zero-config deployment, multi-region, Machines API, and cost-effective Postgres hosting.
GitOps principles, ArgoCD app-of-apps pattern, automated sync vs manual approval, sealed secrets, drift detection, rollback via git revert, progressive delivery with Argo Rollouts.
End-to-end MLOps infrastructure for LLMs including CI/CD pipelines, automated evaluation, staging environments, canary deployments, and production monitoring.
Implement bulletproof shutdown. Handle SIGTERM/SIGINT, drain database connections, stop consuming messages, align with K8s termination periods, and test shutdown reliability.
Deploy Node.js, Python, and Go backends on Railway with zero configuration. Manage Postgres, Redis, and services from a unified dashboard.
Zero-downtime AI updates: shadow mode for new models, prompt versioning with rollback, A/B testing, canary deployments for RAG, embedding migration, and conversation context migration.
Master zero-downtime deployments with rolling updates, graceful shutdown, health checks, and blue/green strategies. Learn SIGTERM handling and preStop hooks.