performance-baseline-capturer
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Performance Baseline Capturer Skill
Captures comprehensive performance baselines before migration to enable post-migration regression comparison and SLA verification.
Purpose
Enable performance benchmarking for:
- Response time measurement
- Throughput baseline
- Resource utilization tracking
- Load test execution
- Percentile calculation
Capabilities
1. Response Time Measurement
- Capture response times
- Measure latency percentiles
- Track by endpoint
- Document SLA targets
2. Throughput Baseline
- Measure requests per second
- Track concurrent users
- Document peak capacity
- Establish limits
3. Resource Utilization Tracking
- Monitor CPU usage
- Track memory consumption
- Measure disk I/O
- Record network usage
4. Load Test Execution
- Run baseline load tests
- Execute stress tests
- Perform soak tests
- Document results
5. Percentile Calculation
- Calculate P50/P90/P95/P99
- Track distribution
- Identify outliers
- Set thresholds
6. Regression Threshold Setting
- Define acceptable ranges
- Set alert thresholds
- Document tolerances
- Create comparison criteria
Tool Integrations
| Tool | Purpose | Integration Method |
|---|---|---|
| JMeter | Load testing | CLI |
| Gatling | Performance testing | CLI |
| k6 | Modern load testing | CLI |
| Locust | Python load testing | CLI |
| Artillery | Node.js testing | CLI |
| wrk | HTTP benchmarking | CLI |
Output Schema
{
"baselineId": "string",
"timestamp": "ISO8601",
"environment": {
"name": "string",
"resources": {}
},
"metrics": {
"responseTime": {
"p50": "number",
"p90": "number",
"p95": "number",
"p99": "number",
"mean": "number"
},
"throughput": {
"requestsPerSecond": "number",
"peakRps": "number",
"concurrentUsers": "number"
},
"resources": {
"cpu": {},
"memory": {},
"disk": {},
"network": {}
}
},
"thresholds": {
"responseTime": {},
"throughput": {},
"errors": {}
}
}
Integration with Migration Processes
- migration-testing-strategy: Baseline establishment
- performance-optimization-migration: Performance tracking
Related Skills
migration-validator: Post-migration comparisontest-coverage-analyzer: Test planning
Related Agents
performance-validation-agent: Performance verificationmigration-testing-strategist: Test planning
Source
git clone https://github.com/a5c-ai/babysitter/blob/main/plugins/babysitter/skills/babysit/process/specializations/code-migration-modernization/skills/performance-baseline-capturer/SKILL.mdView on GitHub Overview
Captures comprehensive performance baselines prior to migration to enable post-migration regression checks and SLA verification. It records response times, throughput, resource utilization, load-test results, and percentile distributions to establish a repeatable benchmark.
How This Skill Works
The skill performs baseline measurements across response time, throughput, and resources, then runs baseline-load tests (and related tests such as stress and soak) using CLI tools like JMeter, Gatling, k6, Locust, Artillery, or wrk. It computes percentiles (P50, P90, P95, P99), tracks endpoints, and outputs the results in a structured schema for comparison with future migrations.
When to Use It
- Before migrating to a new version or architecture to establish a performance benchmark
- During migration planning to verify SLA targets and capacity needs
- When setting regression thresholds for post-migration comparisons
- For capacity planning and peak-load documentation in baseline terms
- To create a repeatable baseline that supports future regression testing
Quick Start
- Step 1: Define baseline scope (endpoints, workloads, tools) and target SLAs
- Step 2: Run baseline tests using a CLI tool (JMeter, Gatling, k6, Locust, Artillery, or wrk) and collect metrics
- Step 3: Calculate P50/P90/P95/P99, review thresholds, and store results in a structured Output Schema
Best Practices
- Define exact endpoints, workloads, and SLA targets to baseline
- Use a consistent environment and timing across baseline runs
- Execute multiple iterations and capture percentile metrics (P50, P90, P95, P99)
- Document thresholds, tolerances, and criteria for regression
- Integrate baseline capture into the migration workflow for repeatability
Example Use Cases
- Baseline capture before API gateway modernization to compare pre/post changes
- E-commerce checkout microservice migration with SLA verification
- Migration of a reporting service with regression testing against baseline
- Web app modernization baseline for capacity planning and target staffing
- Cloud-based migration with pre-migration performance benchmarks for post-migration comparison
Frequently Asked Questions
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