Backend Performance Tuning

Backend performance directly impacts every user interaction. We specialize in finding the hidden inefficiencies — memory leaks, unoptimized queries, blocking I/O, inefficient serialization — that accumulate into noticeable slowness. Our tuning delivers P95 latency improvements that users feel immediately.

• API Response Time Optimization — Reduce P95 latencies from seconds to sub-100ms through query optimization, caching, and architectural improvements.
• Memory & CPU Profiling — Identify memory leaks, excessive garbage collection, and CPU-intensive operations that degrade performance under load.
• Connection Management — Optimize database connection pools, HTTP client configurations, and resource lifecycle management for concurrent workloads.
• Serialization Optimization — Reduce response payload sizes, optimize JSON serialization, implement streaming for large datasets, and add compression.
• Async & Parallel Processing — Convert blocking operations to async, implement parallel data fetching, and optimize event loop utilization.
• Infrastructure Tuning — Optimize container CPU/memory limits, tune garbage collector settings, and configure runtime parameters for your workload.

We profile using language-specific tools (Node.js --prof, py-spy, async-profiler for JVM) and APM platforms. Optimization solutions include Redis caching, connection pooling (PgBouncer, generic-pool), streaming responses, and worker thread offloading for CPU-intensive tasks.

Backend services with high P95 latencies, throughput limitations, memory pressure, or degrading performance under concurrent load. Whether it's a monolithic API or a set of microservices, we tune each component for optimal performance.