Deployment, CI/CD, cloud infrastructure, Docker, Kubernetes, and production operations.
The gap between "it works on my machine" and "it works in production" is where DevOps lives. These articles cover the infrastructure and automation patterns that keep software running reliably: containerization, CI/CD pipelines, cloud cost optimization, and operational best practices.
38 articles
Configure a CDN correctly for maximum performance — cache control headers, invalidation strategies, origin pull optimization, and serving static assets at global edge.
Practical cloud cost optimization strategies — right-sizing, reserved instances, spot instances, storage tiering, and identifying waste in AWS and other cloud environments.
A complete guide to Cloudflare Pages for frontend deployment — setup, Workers integration, custom domains, and performance optimization strategies.
A practical guide to Docker container security — non-root users, image scanning, read-only filesystems, network policies, and secrets management in containers.
Build a continuous deployment pipeline that ships code to production automatically — artifact building, environment promotion, rollback strategies, and deployment verification.
A practical comparison of PostgreSQL hosting options in 2026 — Supabase, AWS RDS, Neon, Railway, and self-hosted — with honest tradeoffs for each approach.
A practical guide to Docker for developers — from writing your first Dockerfile to running production-grade containers with confidence.
A developer's guide to Cloudflare Workers and edge computing — when to move logic to the edge, how to structure Worker code, and the trade-offs that most tutorials skip.
A practical guide to environment variable management — the difference between config and secrets, validation at startup, local development patterns, and production secret injection.
Set up GitHub Actions CI/CD pipelines from scratch — automated testing, builds, and deployments that actually work in production environments.
GitHub best practices for engineering teams — branch naming conventions, pull request workflows, code review culture, and repository organization that scales.
Build an incident response process that works for small engineering teams — on-call rotations, runbooks, communication templates, and post-mortems that prevent recurrence.
A practical guide to Infrastructure as Code with Terraform — versioning, modules, remote state, and why treating config as code is non-negotiable.
Kubernetes explained for application developers — Pods, Deployments, Services, ConfigMaps, and the concepts you need without the platform engineering rabbit holes.
How to implement structured logging in production apps — JSON logs, correlation IDs, log levels, and shipping to a searchable backend that makes debugging fast.
Real application performance monitoring — distributed tracing, Core Web Vitals, database query analysis, and building performance dashboards that surface actionable insights.
Cut through monitoring noise with metrics that matter — error rates, latency percentiles, saturation, and traffic patterns that surface real production problems.
A practical guide to secrets management for development teams — vault solutions, secret injection patterns, rotation automation, and audit trails for production credentials.
The exact server security hardening checklist for new Linux VPS deployments — SSH hardening, firewall setup, automatic updates, and intrusion detection basics.
Configure SSL/TLS correctly in 2026 — modern cipher suites, HSTS, certificate management, OCSP stapling, and avoiding common misconfigurations that weaken HTTPS.
Practical Vercel deployment best practices — preview environments, environment variables, edge config, and performance optimization for production apps.
Implement auto-scaling that works — scaling metrics, predictive vs reactive scaling, database connection limits, and avoiding the pitfalls of automatic scale-up.
Cloud migration for ERP systems is not a lift-and-shift weekend project. Here's a realistic look at the strategy, architecture, and risks of moving enterprise systems to the cloud.
Design a log aggregation system for distributed applications — collection, transport, storage, indexing, and building dashboards that help you find problems fast.
Build cloud-native applications from the ground up — twelve-factor principles, service discovery, configuration management, and resilience patterns that work.
Implement canary deployments to validate releases with real traffic — traffic splitting, metric-based promotion, automated rollback, and observability requirements.
The actual configuration, gotchas, and decisions behind deploying a Nuxt 4 app with SSR, prerendering, and a content module to Vercel — including the sqlite issue that cost me an afternoon.
Understand database replication patterns — primary-replica, multi-primary, synchronous vs asynchronous, failover strategies, and choosing the right approach.
Edge computing moves your application logic closer to users. Here are the deployment patterns that actually work and the trade-offs you need to understand.
Set up effective infrastructure monitoring — the key metrics that matter, alerting that does not cause fatigue, dashboards that answer questions, and tool selection.
Build a disaster recovery plan that works — RPO and RTO definitions, backup strategies, failover testing, runbooks, and the mistakes teams make before the crisis.
GitOps uses Git as the single source of truth for infrastructure and application deployments. Here's how to implement it without overcomplicating your pipeline.
Deploy without downtime using rolling updates, health checks, connection draining, and database migration strategies that keep your application available.
Explore container orchestration options — Docker Swarm, Nomad, ECS, and when Kubernetes is overkill. Practical guidance for choosing the right orchestrator.
Feature flags decouple deployment from release, letting you ship code continuously while controlling who sees what. Here's how to architect them properly.
Scaling a SaaS product isn't about adding servers. It's about identifying bottlenecks before they become outages and addressing them in the right order.
Compare serverless and containers for real workloads — cold starts, cost modeling, operational complexity, and a framework for deciding which fits your application.
Implement blue-green deployments for instant rollback capability — architecture, traffic switching, database considerations, and when this strategy fits best.