The provided document outlines a comprehensive approach to conducting scalability testing for software systems. It covers everything from defining objectives and selecting key performance indicators (KPIs) to executing tests, analyzing results, and automating future runs. Below is a summary of the main points:
1. Define Business Objective and Measurement Artifact
- Document User Journeys: Identify critical user journeys that impact business goals.
- Map SLIs to SLOs: Convert Service Level Indicators (SLI) into measurable Service Level Objectives (SLO).
2. Select KPIs and Observability Signals
- Choose Metrics: Focus on p95/p99 latency, throughput, error rate, GC pause times, DB latencies, and connection pool usage.
- Instrumentation: Ensure that necessary metrics are being collected through proper instrumentation.
3. Model Workload
- Derive Arrival Rates: Use production telemetry to model realistic user behavior.
- Create Stage Profiles: Design test scenarios including warm-up, ramp-up, steady state, spike, and soak phases.
4. Prepare Environment
- Deploy Test Environment: Set up the testing environment using Infrastructure as Code (IaC).
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Ali NematiWritten by Ali
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