Cloud Migration, Cost Optimization, Observability, DevOps Engineering
Consumer Technology
Cutting Infrastructure Costs by Over 80% While Improving Reliability
The Situation
Gravy's services were running on individual servers — a setup that was both expensive and difficult to scale. Monthly infrastructure costs exceeded $3,000. The team had limited visibility into what was actually running, making it hard to identify bottlenecks, tune performance, or catch problems before they affected users.
What We Did
We migrated the application stack from individual servers to cloud-native services — a shift that fundamentally changed how resources were allocated and managed. Alongside the migration, we implemented a full observability layer: logging, metrics, and alerting that gave the team genuine insight into service behavior for the first time.
The observability work wasn't cosmetic. By understanding exactly where compute was going, we were able to right-size every service and eliminate waste. Cost optimization isn't a one-time event — it's a discipline embedded into the architecture.
The Outcome
Monthly infrastructure costs dropped from over $3,000 to under $500 — more than an 80% reduction — while uptime simultaneously improved. The team now has the observability tooling to continue tuning as the application scales, without surprise bills and without flying blind.