Zero Trust Architecture: From Buzzword to Production-Ready Implementation
A practical guide to implementing ZTA without rebuilding your entire infrastructure stack from scratch.
We Cut Our AWS Bill by 60% in 90 Days — Here’s Exactly What We Did
No dark arts. Just a systematic audit, rightsizing, and a few architectural changes that made a massive difference.
Observability vs. Monitoring: Why the Distinction Matters More Than You Think
These terms are used interchangeably, but they represent fundamentally different approaches to understanding what’s happening in production systems.
Kubernetes Isn’t Right for Every Team. Here’s How to Know If It’s Right for Yours.
Kubernetes is powerful, operationally complex, and often overkill. Here’s the honest decision framework for whether your team should adopt it.
The Incident Post-Mortem Process That Actually Prevents Recurrence
Post-mortems are only as useful as the follow-through they generate. Here’s how to run them in a way that produces real change, not just documentation.
How We Scaled PostgreSQL to 50 Million Rows Without Breaking a Sweat
The queries that run fine at 5 million rows start failing at 50 million in specific, predictable ways. Here’s the playbook we followed to scale without a rewrite.
The Security Audit That Found 23 Vulnerabilities in Our Production API
We hired an external security team to audit our production API. Here’s every category of finding, why they existed, and how we fixed them.
Building a High-Availability Service: The Architecture Decisions That Matter
Four nines of availability (99.99%) sounds like a stretch goal. Here’s the architecture pattern that makes it an engineering problem, not a prayer.
Secrets Management: The Part of Security Everyone Ignores Until It’s a Breach
Secrets in environment variables, secrets in git history, secrets in Slack messages. The most common security failure in modern applications isn’t sophisticated — it’s preventable.
Load Testing: Why Most Teams Do It Wrong and How to Fix It
Load testing that happens once before a launch, under ideal conditions, tells you almost nothing useful. Here’s how to build load testing that actually predicts production behavior.