
Troubleshooting Latency: A Systematic Approach to Finding the Bottleneck
A systematic method for tracking down latency issues in production systems, from network to application to database, built from decades of war stories.
Deep-dive technical articles on cloud architecture, networking, security, databases, and infrastructure. Written by practitioners who build and scale production systems.

A systematic method for tracking down latency issues in production systems, from network to application to database, built from decades of war stories.

Hard-won performance tuning lessons from twenty years of fixing slow systems. Database optimization, application profiling, and the metrics that matter.

Practical monitoring and logging advice from twenty years of production operations. What metrics matter, how to build alerts that work, and tools I trust.

A battle-tested guide to blue-green deployments from an architect who's used them to eliminate downtime across hundreds of releases in production.

Learn CI/CD from someone who built pipelines before the tools existed. Continuous integration and delivery principles, patterns, and hard-won lessons.

A practical guide to Kubernetes autoscaling: how HPA, VPA, KEDA, and Cluster Autoscaler work, when to use each, and how to avoid the pitfalls that catch most teams.

Comprehensive guide to encryption at rest and in transit covering implementation, key management, TLS configuration, performance impact, and compliance requirements.

Opinionated guide to stored procedures covering performance benefits, maintainability costs, security implications, and practical guidelines for when they help vs hurt.

Practical guide to cloud storage snapshots and volumes covering architecture, performance, cost optimization, backup strategies, and disaster recovery patterns.

How to implement per-PR ephemeral preview environments on Kubernetes using ArgoCD ApplicationSets, Neon database branching, wildcard TLS, and automated cleanup — plus an honest look at managed platforms like Okteto and Bunnyshell.

In-depth comparison of columnar and row-oriented databases covering storage architecture, compression, query performance, and choosing the right one for your workload.

A practical guide to LLM quantization formats for production inference: when to use GGUF vs AWQ vs GPTQ vs FP8, VRAM arithmetic that actually works, and the infrastructure decisions that follow.
Practical deep dives on infrastructure, security, and scaling. No spam, no fluff.
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