Terraform for Production: The Rules Nobody Told You
When people start using Terraform, everything feels easy. You write a few files, apply the plan, and things magically appear
Latest
A Better Way to Connect GKE to Cloud SQL
A clear, simple story about connecting GKE to Cloud SQL the right way using Workload Identity, without secrets, sidecars, or unstable shortcuts.
Cloud
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The Cloud SQL Proxy Operator: Smart Shortcut or Hidden Trap?
A simple story about the Cloud SQL Proxy Operator—what it really does, when it helps, and when it quietly becomes the reason your app feels slow.
Running GKE Day to Day
Most GKE problems appear after the cluster is running. This post explains how to manage scaling, updates, and monitoring in a simple, reliable way.
DevOps
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The Myth of Constant Productivity in Tech
We don’t need to work faster to achieve more. In DevOps, real progress comes from flow, systems thinking, and removing bottlenecks—not endless hustle.
Practical GKE Security for Real Production
Security on GKE doesn’t need to be complicated. This post explains the essential steps to secure your cluster and workloads in a simple, practical way.
A Quiet Moment Before the Next Page
A short note for anyone who needs a calm moment before the new year begins.
DevOps
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Kubernetes Is Required for Modern Infrastructure
Kubernetes isn’t always required for modern infrastructure. For many workloads, simpler PaaS offerings are cheaper and faster.
Cloud
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Simple GKE Networking for Production
GKE networking looks difficult, but it doesn’t need to be. This post explains how to build simple, reliable networking for production workloads
Serverless Is Always Cheaper
Serverless isn’t always the cheapest option. At scale or under steady workloads, it can cost more than VMs or Kubernetes.
Production-Ready GKE: What “Production-Ready” Actually Means
Most GKE guides focus on complex architectures you don’t need. This post shows what “production-ready” actually means — a simple, scalable, minimal setup.
Containers Solve All Deployment Problems
Containers don’t eliminate deployment problems — they shift them into networking, storage, and observability. They reveal complexity instead of hiding it.