151 posts tagged with "DevOps"

You would never deploy application code without tests, yet most teams push Terraform changes with nothing more than "the plan looks right." Infrastructure bugs are expensive — a misconfigured security group exposes your database, a wrong CIDR block breaks networking for every service, a missing tag violates compliance and triggers an audit. Terraform testing has matured significantly, and there is now a tool for every level of the testing pyramid.

A team I worked with was paying $14,000/month on AWS. After three weeks of analysis and changes, we brought it down to $5,600. No services were removed, no performance was sacrificed. The problem was never that AWS is expensive — it's that the defaults are expensive, and nobody was watching.

Platform engineering is the discipline of building and maintaining self-service toolchains and workflows that enable developers to ship software faster without filing tickets or waiting on ops teams. If DevOps was about breaking down silos, platform engineering is about building the roads that make the journey smooth.

You have containers running on a single host. Now you need them running across five hosts with load balancing, rolling updates, and automatic restarts. Kubernetes is one answer, but it comes with a steep learning curve and significant operational overhead. Docker Swarm is built into the Docker Engine, requires no additional installation, and can have a production cluster running in under ten minutes.

Your cluster is running thirty microservices, and one of them is silently eating all the memory on node-3. By the time someone notices, the node is in NotReady state and pods are getting evicted left and right. Without proper monitoring, you are flying blind in production — and Kubernetes gives you zero visibility out of the box.

Your server handles 1,000 requests per second — here's how to push it to 10,000. Performance tuning isn't about guessing; it's about measuring, identifying bottlenecks, and making targeted changes to CPU scheduling, memory management, and disk I/O.