Cloud Computing
AWS, Azure, GCP, serverless, Kubernetes and modern cloud architecture.
I Spent $3,400 on AWS in One Month. Here's the Stupid Mistake I Made.
My AWS bill for February was $3,417. My expected bill was around $180. Here's exactly what happened, why AWS billing is so hard to predict, and the specific change that fixed it.
Kubernetes Is Overkill for 90% of Projects. I Said What I Said.
Everyone in the cloud community acts like Kubernetes is the obvious default. It isn't. For most projects, K8s adds complexity that doesn't pay for itself until you reach a specific scale you probably haven't hit yet.
AWS vs Azure vs GCP in 2026: After Using All Three, Here's My Take
I've run production workloads on all three major clouds over the past four years. This is my honest, experience-based comparison - not marketing copy, not benchmark charts.
How I Cut Our Cloud Bill by 62% Without Changing a Single Line of Code
Our AWS bill was $4,200/month for a workload that should have cost about $1,600. The fix took two days of configuration changes and saved us $31,000 over the next year.
Serverless Was Amazing Until My Lambda Timed Out at 3am
I was a serverless evangelist for two years. Then I ran a real production workload on Lambda and learned some expensive lessons about cold starts, timeout limits, and vendor lock-in.
The Cloud Migration That Almost Killed Our Startup (And What Saved Us)
We decided to migrate from our managed hosting to AWS in Q4. Three months of downtime incidents, one near-catastrophic data access issue, and one extremely uncomfortable conversation with investors later, here's what we learned.
What Three Years of Running Kubernetes in Production Actually Taught Me
I've been running Kubernetes in production since 2022. Here's what the blog posts don't tell you: the operational surprises, the 2am incidents, and the things I wish I'd known before I started.
The Monitoring Stack That Saved Our Black Friday
Last November our traffic spiked 12x in 90 minutes. We caught a cascade failure in under four minutes and resolved it before 95% of users noticed. Here's the monitoring setup that made that possible.