Prompt

How do I benchmark proxy performance?

Technology / Data Infrastructure1 observationLast seen Jul 15, 2026

Latest observation

Jul 15, 2026OpenAI APIWeb search: off

To benchmark proxy performance, measure it under realistic load and compare it against a direct connection baseline. The key is to test latency, throughput, concurrency, and error behavior in a controlled, repeatable way.

1) Define what “performance” means

Common proxy metrics:

  • Latency: time to first byte / end-to-end response time
  • Throughput: requests/sec, connections/sec, MB/s
  • Concurrency: how many simultaneous connections/requests it handles
  • Connection setup cost: TCP + TLS + auth overhead
  • Reliability under load: error rate, timeouts, retries, dropped connections
  • Resource usage: CPU, memory, network, file descriptors
  • Tail latency: p95/p99 response times

2) Benchmark against a baseline

Always compare:

  1. Direct to origin (no proxy)
  2. Through the proxy
  3. Optionally, different proxy configurations (auth on/off, TLS on/off, keep-alive on/off, HTTP/1.1 vs HTTP/2)

This tells you the proxy overhead.

3) Use realistic test traffic

Match the workload to real usage:

  • HTTP GET/POST mix
  • Payload sizes similar to production
  • Keep-alive vs short-lived connections
  • HTTPS/TLS if your proxy supports it
  • Multiple destinations if the proxy routes to different upstreams
  • If it’s a SOCKS proxy or transparent proxy, test the protocols you actually use

4) Choose the right tools

Depending on proxy type:

HTTP proxy

  • wrk, wrk2, hey, ab, vegeta, curl for simple tests
  • fortio is good for latency distributions

SOCKS proxy

  • curl --socks5, socat, custom scripts, or app-specific load generators

General network/proxy testing

  • iperf3 for raw network throughput
  • Custom client scripts if you need to simulate your exact traffic pattern

5) Example benchmark plan

A. Latency test

Run a fixed number of requests and record p50/p95/p99:

curl -o /dev/null -s -w 'time_total=%{time_total}\n' https://example.com

Through proxy:

curl -o /dev/null -s -w 'time_total=%{time_total}\n' -x http://proxy-host:3128 https://example.com

Compare average and tail latencies.

B. Throughput test with wrk

Direct:

wrk -t4 -c100 -d30s https://example.com

Through proxy depends on the tool/proxy support. If wrk doesn’t support your proxy type directly, use a proxy-aware test client or custom script.

C. Connection setup benchmark

Test many short connections to measure handshake overhead:

  • Disable keep-alive
  • Use small requests
  • Measure requests/sec and error rate

6) Test under increasing load

Sweep across concurrency levels:

  • 1, 10, 50, 100, 500, 1000 concurrent connections
  • Watch when latency spikes or errors start

This shows the proxy’s saturation point.

7) Measure system resources

While running tests, monitor:

  • CPU: top, htop, mpstat
  • Memory: free, smem
  • Network: iftop, nload, sar -n DEV
  • Sockets/file descriptors: ss -s, lsof, ulimit -n
  • Proxy logs for timeouts or upstream failures

8) Make the results trustworthy

Avoid noisy measurements:

  • Run on dedicated or quiet machines
  • Warm up caches/JITs
  • Repeat each test multiple times
  • Use the same origin server and network path
  • Pin versions/configs of proxy and client
  • Keep DNS, TLS session reuse, and keep-alive behavior consistent

9) Interpret the results

Look for:

  • Added latency = proxy overhead
  • Reduced throughput = proxy bottleneck
  • High p99 = queueing or contention
  • Errors/timeouts = capacity or stability issues
  • High CPU = protocol parsing, encryption, logging, etc.

10) Simple checklist

  • Baseline direct connection
  • Same test through proxy
  • Vary concurrency
  • Measure p50/p95/p99 and throughput
  • Test with realistic payloads and connection reuse
  • Monitor CPU/memory/network/errors
  • Repeat and compare across runs

If you want, I can also give you:

  • a benchmark script for HTTP proxies,
  • a SOCKS proxy benchmark setup, or
  • a Docker-based reproducible test environment.

Observation history

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