Real systems. Real results.

The challenge

A 60-engineer team was shipping once a week because every deploy required a 40-minute maintenance window. Database migrations blocked traffic, rollbacks were manual, and on-call engineers dreaded Fridays.

What we did

We redesigned the migration strategy to use expand-contract patterns, introduced feature flags for risky schema changes, and rebuilt the deploy pipeline with blue-green routing on Kubernetes. Runbooks were rewritten from scratch.

The challenge

The search and listing API was timing out under peak load. Users were abandoning sessions. The team had added caching layers but latency kept climbing — they didn't know where time was actually going.

What we did

We instrumented every service with OpenTelemetry traces, identified an N+1 query pattern in the listing resolver, and replaced synchronous downstream calls with a pre-computed read model. Added SLO-based alerting so the team would catch regressions before users did.

The challenge

The on-call rotation had become a burnout machine — engineers were woken up 6–8 times per night by alerts that either resolved themselves or had no runbook. Two senior engineers had already quit. The team had 400+ active alert rules.

What we did

We audited all 400 alert rules, eliminated 60% as noise, and rewrote the remaining ones with burn-rate thresholds tied to SLOs. Built runbooks for the top 15 failure modes and ran two tabletop incident drills. Restructured the escalation policy so P2s didn't page at 2am.