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PayLink Benchmark Report

Date: December 6, 2024
Version: 1.0.0
Author: Wahyu Ardiansyah
Status: Development Build

Disclaimer

Benchmark ini adalah proyeksi teoritis berdasarkan arsitektur yang diimplementasikan. Pengukuran performa nyata memerlukan:

  • Load testing dengan k6 atau wrk
  • Environment production dengan PostgreSQL dan Redis
  • Multiple concurrent connections

1. Architecture Summary

Current Implementation

Component Technology Status
HTTP Server Go 1.22 net/http ✅ Implemented
Database PostgreSQL via lib/pq ✅ Ready (stub)
Cache/Queue Redis (stub client) ⚠️ Stub only
Crypto Pure Go crypto/hmac ✅ Implemented
C++ Module libpaycrypto.so ❌ Not used (optional)

Design Decisions

  • Pure Go Crypto: We chose standard library crypto/hmac for maximum portability and zero CGO dependencies.
  • Standard HTTP: Using net/http instead of frameworks (chi, gin) reduces external dependencies.
  • Minimal Dependencies: Only lib/pq for PostgreSQL driver.

2. Unit Test Results (Actual)

=== Test Execution: December 6, 2024 ===
Environment: Docker golang:1.22-alpine

Package                                  Tests   Pass   Fail
─────────────────────────────────────────────────────────────
internal/adapters/midtrans                 3      3      0
internal/api                               5      5      0
internal/crypto                            2      2      0
─────────────────────────────────────────────────────────────
TOTAL                                     10     10      0

Exit Code: 0 (SUCCESS)

3. Crypto Performance (Theoretical)

Based on Go standard library benchmarks for HMAC-SHA256:

Metric Expected Performance
Ops/sec (single core) ~500,000
Memory Allocation 0 (uses sync.Pool internally)
Latency <1μs per operation

Note: These are estimates based on Go crypto package benchmarks, not actual measurements from this codebase.

4. API Throughput (Projected)

Based on net/http performance characteristics:

Scenario Projected RPS
Simple JSON response 50,000+
With DB query 5,000-10,000
With external API call 500-2,000

Note: Actual performance depends on database, network, and provider API latency.

5. What's NOT Benchmarked Yet

The following require actual load testing:

  • End-to-end checkout flow with real database
  • Webhook processing throughput
  • Redis queue performance
  • Concurrent connection handling
  • Memory usage under load
  • Connection pool efficiency

6. Recommended Next Steps

  1. Set up PostgreSQL and Redis in Docker Compose
  2. Run k6 load tests with realistic scenarios
  3. Measure actual latency with OpenTelemetry
  4. Profile memory usage with pprof
  5. Update this document with real numbers

Conclusion

This is a development-ready codebase with:

  • ✅ Clean architecture
  • ✅ All unit tests passing
  • ✅ Docker builds working
  • ⚠️ Performance claims unverified (requires load testing)

Honesty Note: The previous version of this document contained projected numbers that were presented as measured results. This updated version clearly distinguishes between actual measurements and theoretical projections.

Report updated for accuracy by Wahyu Ardiansyah