Performance Optimization Services
Cloud and application performance optimization services. Identify backend and database bottlenecks, test capacity and prioritize changes using measured evidence.
Find the constraint before adding capacity
Application performance optimization separates slow application work, database contention, dependency latency, and capacity limits using representative production evidence.
Database performance consulting
Review slow-query distributions, execution plans, index selectivity, locks, connection pooling, and transaction duration. Reproduce the problematic workload before changing indexes, queries, schema, or database size. Verify write overhead and consistency as well as read latency; adding replicas does not resolve every contention or query problem.
Database scaling strategiesBackend and cloud performance optimization
Measure latency percentiles, throughput, error rates, resource saturation, and queue growth under the same workload before and after a change. Trace the limiting dependency rather than comparing isolated benchmarks. A useful recommendation specifies a reversible experiment, an acceptance threshold, and the conditions under which the team should revisit it.
Cloud bottleneck and scaling review