Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
One vendor sends the invoice, the other sends the ops work. Here's how we pick between Datadog and the Grafana stack without regretting it later.
Three object stores, similar sticker prices, wildly different bills once retrieval and egress hit. Here is where the money actually goes.
We ripped every client secret out of our CI pipelines by pointing Azure federated credentials at GitHub's OIDC issuer. Here's the exact setup and the claims that trip people up.
Buffered SSR makes users wait for the slowest query before they see anything. Streaming from the edge flips that — send the shell now, fill the gaps as data lands.
The three big clouds are closer on list price than the sales decks suggest. Where they actually diverge is discounts, egress, and Windows licensing.
Long-lived access keys are the root cause behind most cloud breaches. This is the complete map to keyless auth — how workload identity federation and OIDC replace static secrets everywhere, and where to start.
Edge runtimes look like Node but aren't. Here's what actually breaks — CPU caps, no filesystem, no TCP sockets — and how we route around it.
We ran both across a few hundred services. One wins on auto-instrumentation and root-cause, the other on breadth and time-to-first-dashboard. Here's the split.
We've run both in production for years. Here's the honest split on pricing traps, tracing quality, and which one you actually want for your team size.
We ran secrets three different ways across AWS, GCP, and Vault. External Secrets Operator gave us one Kubernetes-native workflow. Here's the setup and the gotchas.
Moving our fleet from x86 to Graviton promised 20% savings. We got 31%, but only after fixing native dependencies, a broken base image, and one nasty perf regression.
A p99 that jumped to 3.4 seconds during traffic ramps turned out to be cold starts. Here's how we measured them properly and cut the tail, with real init timings.
