Web Server Performance Tuning

The web server sits in every request path and can become a bottleneck before application code runs. We measure connection handling, TLS, proxies, caching, and upstream behaviour to improve efficiency.

When this service is needed

• Requests queue or time out as concurrency increases.
• TLS, compression, or logging contributes to high CPU use.
• Static assets and caching are not used effectively.
• Application upstreams are healthy while edge response remains slow.

Scope

• Connections, workers, event models, keepalive, timeouts, and queues.
• TLS protocols, ciphers, session reuse, and HTTP/2 or HTTP/3 readiness.
• Compression, static assets, cache headers, proxy caching, and buffering.
• Upstream pools, health checks, load balancing, retries, and failover.
• Logging overhead, rate limits, request sizes, and error handling.
• Load tests, configuration diffs, rollback, and production observation.

Tuning methodology

1. Baseline: measure latency, throughput, errors, saturation, and resources.
2. Hypothesis: connect symptoms to evidence and candidate bottlenecks.
3. Controlled change: introduce one group of changes with a rollback path.
4. Retest: repeat the same scenario and compare results.
5. Observe: monitor stability and regression risk after change.

Deliverables

• Baselines and a bottleneck map.
• Prioritised recommendations with change risks.
• Applied configuration and rollback records.
• Before-and-after evidence with capacity guidance.

Intended outcomes

The web server handles concurrency efficiently, forwards requests reliably, and reduces unnecessary application load.