12 posts in DevOps
What happens after you deploy AI? A practical guide to the operational realities of production AI systems, covering token cost monitoring, latency profiling, output quality drift, prompt version management, and incident response.
Multi-region deployments reduce latency for global users and protect against regional cloud outages, but they introduce complexity that can cause more problems than they solve. This guide covers the trade-offs honestly.
DNS is infrastructure every developer uses but few understand well enough to debug.
I share my thorough Docker guide for web development covering installation, best practices, multi-stage builds, security, and production deployment...
Discover self-hosted alternatives to popular SaaS tools. Compare options for Slack, Notion, and Google Workspace with practical deployment guidance and cost analysis.
I compare the top CDN providers for business websites with detailed analysis of Cloudflare, Fastly, and BunnyCDN covering performance, pricing, features, and use cases.
I share my strategies for managing API costs and implementing rate limiting for business applications, including caching techniques, monitoring tools, and lessons from costly mistakes.
I share my experience with AI code review tools for small development teams, comparing GitHub Copilot, CodeRabbit, and Qodana for automated code analysis and security scanning.
I share my practical guide to implementing database sharding for growing SaaS applications, covering PostgreSQL strategies for data distribution, query routing, and migration.
Master Git Flow branching strategies for growing development teams. Learn proven workflows, best practices, and conflict resolution techniques for teams scaling from 5 to 50 developers.
Explore edge functions with this in-depth guide on using Vercel and Cloudflare Workers to execute code near users, boost performance, and cut latency for modern web apps.
Examine micro-frontends to break down large web applications into scalable, independent modules.