Application Performance Stress testing
Budget: ₹12,500 – ₹37,500 INR
I need to squeeze every millisecond of performance out of an Azure-based stack that relies on three key pieces: Azure Container apps, Azure app service, Azure Redis Cache, Azure Database for PostgreSQL, and a container-oriented application layer. The workload is already live, but under sustained traffic the latency curve rises sharply and throughput plateaus. My sole focus is performance optimisation—no re-platforming, no cloud migrations—just making the existing Azure deployment faster and more scalable.
What I expect from you
• Design, optimize the performance of application to reduce the response times, and run targeted load tests (Azure Load Testing, k6, or a similar tool you prefer) that stress the application realistic traffic patterns.
• Analyse the collected metrics, isolate bottlenecks at query, cache, and container levels, then propose concrete tuning steps—connection pooling, cache TTLs, index adjustments, replica sizing, or configuration tweaks.
• Apply the agreed changes in a controlled manner, rerun the tests, and show measurable gains in p95 latency and overall throughput.
• Capture your process and final recommendations in a concise hand-over document so I can maintain the improved setup going forward.
Tooling and environment details are ready, including current connection strings, ARM templates, and access to Azure Monitor. Once engaged, I’ll share a test subscription and sample datasets so you can work without touching production.
Deliverables are accepted when the follow-up test demonstrates a clear, verifiable reduction in latency and a higher sustainable request rate under identical load.
What I expect from you
• Design, optimize the performance of application to reduce the response times, and run targeted load tests (Azure Load Testing, k6, or a similar tool you prefer) that stress the application realistic traffic patterns.
• Analyse the collected metrics, isolate bottlenecks at query, cache, and container levels, then propose concrete tuning steps—connection pooling, cache TTLs, index adjustments, replica sizing, or configuration tweaks.
• Apply the agreed changes in a controlled manner, rerun the tests, and show measurable gains in p95 latency and overall throughput.
• Capture your process and final recommendations in a concise hand-over document so I can maintain the improved setup going forward.
Tooling and environment details are ready, including current connection strings, ARM templates, and access to Azure Monitor. Once engaged, I’ll share a test subscription and sample datasets so you can work without touching production.
Deliverables are accepted when the follow-up test demonstrates a clear, verifiable reduction in latency and a higher sustainable request rate under identical load.