Systematic approaches to complex engineering challenges—distilling production experience into actionable frameworks and architectural patterns.
Everyone said we needed GPT-4 and Claude Opus for everything. Then we discovered that smaller, specialized models delivered better results at 1/20th the cost. Here's the production story nobody talks about.
Read full article →How we reduced LLM costs by 93% while improving response time by 67%—a complete playbook for implementing small language models in production, including the failures that taught us everything.
Read full article →What happens when you hire brilliant AI researchers but forget about production? The expensive lessons from my first attempt at building an enterprise ML organization.
Read full article →How we achieved AI governance compliance across 23 models in 90 days—including the $180K we spent, the team we built, and the three critical failures that nearly derailed everything.
Read full article →How we architected and deployed a production AI agent system handling half a million daily interactions—including the $200K we saved, three architectural rewrites, and the monitoring system that saved us from disaster.
Read full article →Hard lessons from implementing AI governance in healthcare - the $2.3M audit that almost killed us, why our first framework failed completely, and the governance patterns that saved us.
Read full article →How we built an MLOps pipeline processing 47M daily predictions, the automated retraining that saved us, and why our model deployment time dropped from 3 weeks to 4 hours.
Read full article →How we scaled our PostgreSQL database from 2TB to 50TB while maintaining 99.99% uptime, cutting query times by 85%, and learning painful lessons about what actually works at scale.
Read full article →How we learned the hard way that enterprise rate limiting requires more than basic algorithms—featuring bot attacks, Redis failures, and a very expensive Black Friday.
Read full article →How Epic Games handles 100M+ concurrent players—and what we stole from their architecture to fix our real-time platform that was crumbling at 50K users.
Read full article →Our AI system lied to us 89% of the time. Here's the 90-day journey from deception discovery to production-ready trust frameworks.
Read full article →We planned for 6 hours of downtime. We got 43 hours. Here's the painful story of our database migration disaster and the zero-downtime patterns we use now.
Read full article →What really happens when you move from monolith to event-driven architecture—including the 3am outage that taught us more than any conference talk ever could.
Read full article →What happened when we actually measured our platform engineering maturity—spoiler: we weren't as mature as we thought, and that was the best thing that could have happened.
Read full article →We picked Pinecone because everyone else was using it. Then we tried Milvus because it was faster. Then we finally landed on pgvector. Here's what we learned the expensive way.
Read full article →Chinese researchers proved AI develops human-like cognition. Six months later, here's how this discovery transformed our development workflows and team dynamics.
Read full article →How optimizing for carbon footprint accidentally saved us $340K/year in cloud costs—plus the green software engineering practices that actually moved the needle.
Read full article →How we unified 87 microservices under one GraphQL API, the schema conflicts that nearly killed the project, and why our API response times improved 63%.
Read full article →My team deployed Google Gemini 2.5 Deep Think Mode in production. Here's what the benchmarks don't tell you about the $400K lesson we learned.
Read full article →Real-world lessons from migrating to federated API gateway architecture across 15 data centers, supporting REST, gRPC, GraphQL, and WebSocket protocols at 50K req/sec.
Read full article →Hard-earned lessons from implementing enterprise observability at scale, including the $2.1M mistake, sampling strategies that work, and why our alert fatigue dropped 94%.
Read full article →The story of our worst production incident—when shared infrastructure meant shared failure, and why we rebuilt our entire multi-tenant architecture from scratch.
Read full article →How we systematically eliminated crippling technical debt across 200+ services, the framework that actually worked, and why developer velocity increased 340%.
Read full article →War stories from the trenches of distributed microservices—featuring cascading failures, runbook automation that actually works, and the observability stack that saved our sanity.
Read full article →The brutal truth about implementing DataOps—featuring 127 broken pipelines, a complete cultural transformation, and the automation that saved our data team.
Read full article →Real-world lessons from integrating AI into our DevOps pipeline, including the failures, surprises, and measurable wins that shaped our approach.
Read full article →How we lost control of 340 shadow IT apps, spent $890K cleaning up the mess, and finally figured out when low-code actually makes sense.
Read full article →My journey from AI coding assistant enthusiasm to production AI agent reality, including the $300K in mistakes, the architectural pivots, and the surprising ways AI agents actually delivered value.
Read full article →The complete story of our Istio service mesh migration that caused a cascading production outage, cost us $180K, and taught us everything about what not to do when deploying service mesh at scale.
Read full article →Why we rewrote 12 critical services from Go to Rust, the migration hell we endured, the memory leak that almost killed us, and why our infrastructure costs dropped $43K/month.
Read full article →The real story of migrating from Ingress to Kubernetes Gateway API in production, including the breaking changes, the 2AM rollback, and why our latency improved 40%.
Read full article →Replacing traditional APM tools with eBPF-based observability - how we eliminated 40% monitoring overhead, debugged a kernel panic, and why you can't just 'enable eBPF'.
Read full article →Real-world lessons from running WebAssembly at scale in a serverless environment—including performance wins, debugging nightmares, and the surprising edge cases that shaped our architecture.
Read full article →How we built an internal developer platform that reduced deployment time by 75% and onboarded new engineers in under 2 hours—complete with architecture decisions, tooling choices, and hard lessons.
Read full article →Migrating 850 services to Zero Trust architecture - the ransomware attack that forced our hand, the $470K security upgrade, and why lateral movement dropped 99.7%.
Read full article →How we reduced our Kubernetes costs from $145K/month to $48K/month through strategic resource optimization, spot instances, and cluster right-sizing—without sacrificing performance or reliability.
Read full article →What we learned deploying serverless functions to 190 edge locations, including the cold start nightmare, the $12K debugging bill, and why our p99 latency dropped 83%.
Read full article →Architectural principles and patterns for building resilient, scalable distributed systems from first principles.
Read full article →Systematic approach to reducing build times through parallel execution, intelligent caching, and architectural refactoring.
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