Server Code Performance Boost
Budget: $1,500 – $3,000 USD
I need help stabilizing my server-side application by focusing squarely on performance optimization, with a particular emphasis on tightening up code execution. The goal is to shave milliseconds off critical requests and eliminate bottlenecks that appear under load.
Scope
• Profile the existing codebase to locate CPU-intensive paths, memory leaks, and blocking I/O.
• Refactor or rewrite the slow spots, introducing asynchronous logic or batching where it makes sense.
• Implement unit and integration benchmarks so we have before-and-after metrics that clearly show the gains.
• Document every change: the reason, the impact, and any trade-offs.
Success looks like:
• Faster average and p95 response times under the current production workload.
• Clear, reproducible benchmark data that proves the improvement.
• Readable, maintainable code that future team members can extend without re-introducing latency.
The stack is Node.js with a PostgreSQL backend, but I’m open to best-practice suggestions—whether that involves native add-ons, worker threads, or other proven techniques. If this sounds like your specialty in performance optimization and code execution tuning, I’d love to see how you would approach it and what similar wins you’ve delivered before.
Scope
• Profile the existing codebase to locate CPU-intensive paths, memory leaks, and blocking I/O.
• Refactor or rewrite the slow spots, introducing asynchronous logic or batching where it makes sense.
• Implement unit and integration benchmarks so we have before-and-after metrics that clearly show the gains.
• Document every change: the reason, the impact, and any trade-offs.
Success looks like:
• Faster average and p95 response times under the current production workload.
• Clear, reproducible benchmark data that proves the improvement.
• Readable, maintainable code that future team members can extend without re-introducing latency.
The stack is Node.js with a PostgreSQL backend, but I’m open to best-practice suggestions—whether that involves native add-ons, worker threads, or other proven techniques. If this sounds like your specialty in performance optimization and code execution tuning, I’d love to see how you would approach it and what similar wins you’ve delivered before.