Python · high-load · RPS · distributed systems · fault tolerance
I help product teams raise RPS and harden production — hot code paths, CPU, RAM / memory leaks, queues, retry storms, and failure modes across services — so critical paths stay fast and stay up.
Hands-on: profiles & traces → business-ranked backlog → change the code → fault-tolerance + monitoring so load and failures don’t take you down again.
Performance Engineer · high-load · RPS · distributed systems · fault tolerance · circuit breaker · backpressure · Python backend performance · Django / FastAPI · CPU profiling · memory leak · Postgres / Redis / Celery · throughput · p95 · observability · production reliability
Landing with offer, cases, and sample diagnostic: sapezhko.com · source: performance-engineer
- Find what’s slow — or fragile — CPU, RAM, RPS ceilings, queues, retries (profiles & production signals)
- Prioritize by business impact — conversion, reliability, infra cost
- Fix and harden — change code/runtime + fault-tolerance guardrails so regressions and cascades don’t return
Backend: Python, Django, FastAPI, Postgres, Redis, Celery, asyncio
Systems: load paths, queues, backpressure, circuit breakers, delivery guarantees
Runtime: profiling, memory analysis, load testing, observability
Delivery: nginx, Docker, CI/CD, performance budgets
- 🌐 sapezhko.com — Performance Engineer consulting (diagnostic → audit → fix & harden)
- 📦 performance-engineer — Astro landing source
Building in public around high-load performance and reliability for SaaS and e-commerce.
If APIs or distributed paths hit RPS ceilings or cascade under failure — book a free 30-minute diagnostic.