Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Set up comprehensive Linux system monitoring using Prometheus and Grafana. Monitor CPU, memory, disk, network, and application metrics with beautiful dashboards.
Discover proven strategies to reduce AWS costs by up to 50%. Learn about Reserved Instances, Spot Instances, right-sizing, and automated cost management.
We deploy LangChain apps in Docker on Kubernetes. The patterns that work, the LangChain-specific gotchas, and what we'd build differently next time.
When everything seems "slow," a baseline gives you something to measure against. The capture-and-compare workflow we use on every Linux host.
HPA, VPA, and Cluster Autoscaler / Karpenter solve overlapping problems badly when you don't understand which one owns what. The mental model that keeps them from fighting.
We replaced three kernel-level monitoring tools with a small set of eBPF programs. What it bought us, what it cost, and where we still use the old stuff.
We removed the corporate VPN, set up workload identity everywhere, and made every service prove who it is on every call. The actual implementation, with what worked and what we abandoned.
We run ~600 GitHub Actions workflow runs per day across 80 repos. The patterns that scale and the ones that hit limits we didn't expect.
A different angle on AWS cost work: the operational discipline that prevents costs from creeping back up after the initial cleanup.
Bash patterns beyond the basics: arrays, traps, process substitution, parameter expansion. The features that earn their place when scripts grow.
We cut our average production image size by 78% with multi-stage builds. The patterns that worked, the ones that didn't, and the production gotchas.
