Performance at scale
Latency spikes and inference costs that stayed quiet at 100 users wake up at 100,000. We re-tune both model and infrastructure for the new regime.
What we focus on
- Resource utilisation analysis — where the compute actually goes vs where it should.
- Auto-scaling architecture — elastic infrastructure that absorbs spikes without over-provisioning.
- Caching & latency budgets — p95/p99 targets that hold under real production load.
- Observability that earns its keep — traces and metrics that point straight at the next bottleneck.