Engineering essays from the bench.
War stories, architecture decisions, and the occasional tirade. Written by the engineers who shipped it.
Why We Built Trinetra: Moving Away From Prometheus Complexity
Why we built Trinetra instead of running Prometheus, Grafana and Alertmanager or paying Datadog, what each option really costs, and when Prometheus is still right.
Trinetra vs Netdata for Multi-Node Fleets: An Honest Comparison
Where each one decides to page you, what happens when the central node dies, memory, retention and real yearly cost, from both projects' own docs. Netdata wins on depth; Trinetra on staying quiet and staying up.
Trinetra: Server Monitoring That Stays Quiet Until It Matters
Trinetra is one small Go daemon per Linux server: live dashboards, alert rules you can read and Telegram alerts, plus a fleet master with incidents and escalation that never becomes a single point of silence. How it works, and an honest comparison with Netdata, Prometheus, Zabbix, Beszel, Uptime Kuma and Datadog.
Sandbox to Production: What to Do After an Agent Ships
What to do after an AI agent goes live: pin versions, trace runs, cap spend, add a kill switch, grow evals from failures, and alert on behavior.
Platform Engineering: Internal Developer Platforms That Get Adopted
Building internal developer platforms: golden paths, self-service infrastructure, Backstage, Crossplane, and how to measure platform success.
What Is MLOps? A Practical Introduction for Engineers
What MLOps is, how it differs from DevOps, and a minimal working setup: versioned data, tracked experiments, CI evaluation gates, safe rollout, monitoring.
Startup Infrastructure Checklist: Zero to Production
A phased startup infrastructure checklist: accounts and access, CI/CD, hosting, backups, observability, security and on-call, with configs to copy.
GitOps Deployment Strategies with Argo CD and Flux
How GitOps deployment works in production: repo layout, working Argo CD and Flux manifests, canary rollouts, secrets, and the failure modes to plan for.
Observability in Production: Logs, Metrics, Traces and SLOs
How to build production observability: structured logs, golden-signal metrics, OpenTelemetry traces, SLO burn-rate alerts, and a stack that fits your size.
