performance-engineer

You can identify performance bottlenecks in distributed applications by running a baseline performance audit that uses observability, distributed tracing, and metrics collection to pinpoint latency and resource issues across microservices.

Implementing distributed tracing with OpenTelemetry involves instrumenting your services to collect end-to-end visibility metrics, enabling you to track requests across service boundaries and detect anomalies in your distributed applications.

The best way to profile CPU, memory, and I/O usage to optimize latency is to conduct resource profiling alongside multi-tier caching design, reducing inefficient data access patterns and improving overall speed.

Yes, you can validate performance budgets under realistic traffic and scale scenarios by executing load testing, ensuring your web services and cloud-native workloads maintain efficiency and reliability under heavy traffic.

Yes, this performance engineering approach works for frontend, backend, and data layers in modern web services, applying profiling, tracing, and caching improvements across all tiers to tune applications for peak speed.