Real cost data, production benchmarks, and comparisons for developers.
Catch LCP and CLS regressions in the pull request, not in production. A complete guide to Lighthouse CI in GitLab, performance budgets as merge blockers, and automating GSC field-data alerts into Jira via n8n.
How eBPF is replacing sidecars for zero-instrumentation GPU observability, slashing MTTR by 40%, and enabling pod-level energy attribution. Deep dive into kernel-level telemetry, cloud egress economics, and GreenOps carbon accounting.
AI Gateways, semantic caching, zero-egress cloud strategies, and resilient fallback chains. How platform engineering teams are taming the chaos of production AI workloads in 2026.
We used all three AI coding tools for 30 days on the same projects. Completion accuracy, complex task performance, and cost per developer — the results surprised us.
Docker Desktop licensing pushed teams to evaluate Podman. We benchmarked build times, startup speed, memory overhead, and migration pain points to find out if the switch is worth it.
Read throughput, write concurrency, JSON performance, and hosting costs across three databases at every scale. SQLite's rise as a serious production option changes the calculus.
The average organization wastes 31% of its cloud spend. A practical guide to shift-left cost estimation with Infracost, eliminating egress fees with Cloudflare R2, ephemeral environments, and right-sizing Kubernetes workloads.
Tailwind v4's Rust-based Oxide engine vs modern CSS with nesting, :has(), and container queries. Build times, output size, and maintainability compared head-to-head.
YAML fatigue is real. When every deployment requires a DevOps ticket, your pipeline is blocking you—not enabling you. A practical guide to building a GitLab-native IDP with component catalogs, Workload Identity Federation, and policy-as-code.
Same project, both CI platforms. Pipeline speed benchmarks, pricing at every tier, config complexity, and security features compared. The free tier gap is massive.
Vercel owns developer experience. Cloudflare owns the network. A deep-dive into CI/CD integration, IaC, observability, and when each platform actually wins.
How to audit your AI dependencies, detect model poisoning, and protect your ML pipeline from emerging supply chain attacks.
Architecture patterns, chunking strategies, and evaluation frameworks for RAG systems that actually work in production.
We tested query latency, recall accuracy, and real costs across 4 vector databases at scale. The cheapest option isn't what you'd expect.
Real benchmark data from 500 production tasks. Cost per task, accuracy rates, and latency numbers. The pricing gap is bigger than you think.
CrewAI won for multi-agent systems, LangGraph for complex workflows. AutoGPT disappointed. Real code, benchmarks, and the framework decision tree.
Real cost and performance data from 6 months of production use. RAG won for 80% of use cases — 8x cheaper upfront, easier to maintain.
MCP eliminated 80% of our LangChain boilerplate for tool integration. But LangChain still dominates complex chains. Side-by-side with code.
A practical guide to creating your first Model Context Protocol server. From zero to production-ready with TypeScript or Python.
I deployed the same app to all three platforms and tracked every dollar for 3 months. The cheapest option depends heavily on your traffic pattern.
Real latency benchmarks, cold start comparisons, and pricing analysis. Which serverless platform wins for your workload?
Real performance benchmarks and hosting costs for Next.js 15 vs Astro 5. Astro is 3x faster for content sites — here's the data.
Real cost comparison for 5K, 50K, and 500K users. Complete pricing breakdown with auth, database, and storage.
Real costs on Hetzner, DigitalOcean, AWS, and Vercel. Self-hosting saved $3,444/year at high traffic — but there's a catch.
Self-hosted LLMs saved $4,200/month at scale, but only past 10M tokens/day. Full cost breakdown with actual invoices and the breakeven formula.
Same Next.js app, both platforms, 6 months of real invoices. Vercel costs 3x more at scale — but AWS burned 40+ hours in DevOps time.
From CloudFront cache issues to environment variable nightmares, here are the mistakes I made so you don't have to.
AWS, GCP, Azure, Cloudflare, or Vercel? A framework for making the decision based on your actual needs.