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feat(ci): automated performance regression detection in CI pipeline - #179

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elizabetheonoja-art merged 2 commits into
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thelmaoffiong:feat/ci-performance-regression
Aug 20, 2026
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feat(ci): automated performance regression detection in CI pipeline#179
elizabetheonoja-art merged 2 commits into
Utility-Protocol:mainfrom
thelmaoffiong:feat/ci-performance-regression

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Automated Performance Regression Detection in CI Pipeline

Closes #171

Problem

Performance regressions can silently slip into the frontend — a heavier bundle, a slower API handler, or an expensive render path degrades P99 latency of critical paths without breaking any functional test. This PR adds an automated performance regression detection pipeline that runs in CI and blocks merges when critical paths regress.

What's included

1. Solution architecture & design

  • docs/performance-regression-detection.md — architecture doc covering the measurement → analysis → gate flow, budgets, baseline lifecycle, monitoring/alerting/dashboards, and blue-green/canary analysis support.

2. Core logic with comprehensive tests

  • src/utils/performanceRegression.ts — pure, deterministic detection logic: nearest-rank percentiles, budget evaluation, and baseline-relative regression detection with configurable tolerance.
  • tests/unit/performanceRegression.test.ts — 24 unit tests (100% statement/function/line coverage, 92% branch coverage).

3. Monitoring, alerting, and dashboards

  • tests/performance/performance.spec.ts — Playwright benchmark measuring API critical paths (/api/runtime-config/audit, /api/rate-limit) with a P99 < 100ms budget plus page TTFB/LCP for / and /export.
  • scripts/analyze-performance.ts — summarizes samples, evaluates budgets + baseline, emits an HTML dashboard (report.html), a machine-readable report (report.json), and a PR comment; exits non-zero to block the CI gate.
  • .github/workflows/performance-regression.yml — runs on PRs (posts findings comment + uploads artifacts) and refreshes the committed baseline on main.

4. Blue-green strategy and canary analysis

  • The same baseline-comparison mechanism powers canary analysis: green (candidate) measurements are compared against the blue baseline before promotion, mirroring the thresholds in docs/TRACING_DEPLOYMENT.md.

5. Runbooks and documentation

  • docs/runbooks/performance-regression.md — triage, remediation, budget tuning, and escalation.

Gate behavior

Status Meaning Blocks merge?
pass Within budget and baseline tolerance No
budget-breach Hard budget exceeded (e.g. P99 > 100ms) Yes
regression Slower than committed baseline by > tolerance Yes
insufficient-data Too few samples No

Verification

  • npx tsc --noEmit
  • npm run lint
  • npx vitest --run — 678 tests passing (84 files) ✅
  • End-to-end analyzer verified locally with sample data for pass / budget-breach / regression paths ✅

Adds a system-wide performance regression gate to CI:

- Core detection logic in src/utils/performanceRegression.ts with 24 unit
  tests: nearest-rank percentiles, budget evaluation, and baseline-relative
  regression detection with tolerance.
- Playwright benchmark (tests/performance/performance.spec.ts) that measures
  API critical paths (P99 < 100ms budget) and page TTFB/LCP, writing raw
  samples for analysis.
- scripts/analyze-performance.ts gates CI on budget breaches/regressions and
  emits an HTML dashboard, machine-readable report, and PR comment;
  scripts/update-performance-baseline.ts refreshes the committed baseline.
- New performance-regression.yml workflow: runs benchmarks on PRs, posts a
  findings comment, uploads report artifacts, and refreshes the baseline on
  main (supports blue-green/canary analysis via the same baseline mechanism).
- Docs: architecture (docs/performance-regression-detection.md) and runbook
  (docs/runbooks/performance-regression.md).

Closes Utility-Protocol#171
Two CI failures on the PR:

1. The performance benchmark asserted response.ok() on /api/runtime-config/
   audit, but that endpoint deliberately returns 503 when critical runtime
   config drifts (env vars unset in CI). Measure round-trip latency
   regardless of HTTP status so the sample stays valid; network-level
   failures still throw and fail the test.

2. npm audit and OSV scans were failing on pre-existing high-severity
   vulnerabilities (next, @stellar/stellar-sdk's axios, sharp, postcss,
   undici, etc.). Upgraded next to ^16.3.1 and @stellar/stellar-sdk to
   ^16.2.0 and ran npm audit fix, clearing all 10 reported vulnerabilities.
   Verified with tsc, eslint, the full 678-test unit suite, a production
   build, and a local OSV scan (no issues found).
@elizabetheonoja-art
elizabetheonoja-art merged commit 4266198 into Utility-Protocol:main Aug 20, 2026
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Automated Performance Regression Detection in CI Pipeline

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