Measuring Solana Performance with Tools — Forge College

Want to turn Solana performance hypotheses into verifiable data? This lesson shows how to run reproducible benchmarks and collect the metrics that let you compare, validate, and iterate on real-world experiments.

What you'll learn: You'll learn how to select and configure an appropriate benchmarking tool for the workload model you designed and map experiment parameters to concrete tool flags and scripts. The lesson walks through running a warm-up and steady-state measurement, capturing client-side throughput and latency (transactions per second, p50/p95/p99), and collecting node-side system metrics such as CPU and network usage. You will practice instrumentation and logging formats, timestamp alignment, basic data aggregation, and noise-reduction techniques like multiple trials, fixed process affinity, and clock synchronization so outputs are reproducible and ready for analysis. By the end you'll produce a timestamped run directory containing the run script, raw metric files (CSV or JSON), and diagnostic logs.

Who this is for: Beginner learners with basic knowledge of Solana concepts or anyone who has defined a workload model and target metrics. No advanced programming required, but attention to detail and a willingness to run and inspect scripts is expected.

Key topics covered:
- Choosing benchmarking tools and mapping experiment parameters to tool flags
- Generating controlled load: warm-up, steady-state, and multiple trials
- Measuring throughput (TPS) and latency (p50/p95/p99) with consistent definitions
- Instrumenting client-side and node-side logging and capturing system metrics
- Timestamp alignment, data aggregation, and noise-reduction strategies
- Packaging reproducible run artifacts: scripts, CSV/JSON metrics, and logs

Start practicing the hands-on lesson and download example scripts and templates: https://www.forge.college/

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