◈ ACCESS LOGGING

API Gateway Proxy Access Logs

Complete implementation guide for tracking, analyzing, and optimizing API Gateway proxy access logs for better observability.

📊
99.9%
Log Uptime
<100ms
Log Latency
🔒
100%
Compliance

Understanding Access Logs

Access logs provide a detailed record of every request passing through your API Gateway proxy. They are essential for:

  • Security Analysis - Detect unusual patterns and potential threats
  • Performance Monitoring - Identify slow endpoints and optimization opportunities
  • Compliance Auditing - Meet regulatory requirements for data retention
  • Troubleshooting - Debug issues with detailed request/response data

Log Configuration

gateway_config.yaml
# Access Log Configuration proxy: access_log: enabled: true format: "json" fields: - timestamp - request_id - client_ip - method - path - status_code - response_time - request_size - response_size filters: exclude_health_checks: true sample_rate: 1.0 destination: type: "cloudwatch" stream_name: "api-gateway-logs"
💡 Pro Tip

Enable sampling for high-traffic APIs to reduce storage costs while maintaining statistical accuracy. A 10% sample rate is usually sufficient for trend analysis.

📈 Log Analysis Patterns

Here are common access log queries for API monitoring:

log_queries.sql
-- Top endpoints by request count SELECT path, COUNT(*) as requests FROM access_logs WHERE timestamp > now() - interval '24 hours' GROUP BY path ORDER BY requests DESC LIMIT 10; -- Slowest endpoints SELECT path, AVG(response_time) as avg_time FROM access_logs GROUP BY path ORDER BY avg_time DESC LIMIT 5; -- Error rate by status code SELECT status_code, COUNT(*) as count FROM access_logs WHERE status_code >= 400 GROUP BY status_code;

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