The right infrastructure doesn’t support your team — it multiplies them.

Problem

A self-hosted PostgreSQL cluster eating a full-time DBA’s calendar — patching, failover babysitting, 2 AM backup alerts. Pure infrastructure tax, zero product value.

What we did

Migrated to Cloud SQL with continuous replication via DMS. Terraform-managed instance, automated backups, and sub-60-second failover. Total application downtime: 90 seconds.

Problem

A single Node.js monolith where one CPU-heavy module caused latency spikes across the entire product. Deploys were weekly, high-risk, and required a war room.

What we did

Applied the strangler fig pattern to extract the bottleneck into its own Cloud Run service — independent scaling, independent deploys, clean API boundary. No big-bang rewrite.

Problem

A latency-sensitive eligibility service trapped inside an over-provisioned container fleet. P99 at 850ms, $320/month in compute, and scaling the fleet meant paying for capacity nothing else needed.

What we did

Rewrote the service in Go and deployed it as a Cloud Function. Compiled binary, sub-80ms cold starts, pay-per-invocation. Identical API contract — the caller just swapped the endpoint.

Problem

Three non-production environments running 24/7 at full capacity — $4,300/month in compute for workloads that saw zero traffic outside business hours.

What we did

Terraform-managed Cloud Scheduler policies that spin down Cloud SQL instances nights and weekends. Slack override command for off-hours work when needed.

Problem

Internal tools gated behind a VPN that took hours to set up, broke on every new laptop, and locked out the entire team when the config drifted. $18/user/month in licensing on top.

What we did

Replaced the VPN with Cloud Identity-Aware Proxy. Access controlled by Google Workspace identity and device posture — no tunnel, no client software, no certificates. Fully Terraform-managed.

Problem

Two years of cloud resources created by hand through the console. No record of what existed, who had access, or what anything cost. Onboarding a new engineer took two days of clicking through UIs.

What we did

Imported 180+ resources into Terraform without downtime. Layered state architecture, Infracost on every PR, and IAM managed as code with review-gated changes.

Problem

Services authenticating with shared secrets, hand-rolled JWT logic, and copy-pasted HMAC keys scattered across 17 deployment configs. No rotation, no audit trail, no way to answer “who can call what.”

What we did

Replaced all custom auth with GCP Workload Identity. Each service gets a dedicated service account; the platform issues and rotates short-lived OIDC tokens automatically. 23 hardcoded secrets removed, ~800 lines of auth middleware deleted.

Problem

No tracing, inconsistent log formats, metrics split across four tools. Debugging a latency spike meant grepping logs on individual containers and hoping you picked the right service first.

What we did

Instrumented 8 services with OpenTelemetry — distributed traces, structured logs with trace correlation, and per-route latency metrics — all flowing to Grafana Cloud through a single collector.

Problem

Report generation, bulk imports, and webhook delivery all running synchronously inside API request handlers. 12-second P95, gateway timeouts, duplicate work on every retry.

What we did

Offloaded heavy work to Cloud Tasks and Pub/Sub. API endpoints return a 202 immediately; workers scale independently with retry logic and dead-letter handling. Idempotency keys prevent duplicate side effects.