Embed Telemetry & Observability in Every System

Every system must be designed to emit structured logs, metrics, and traces, enabling real-time monitoring and analysis. This approach ensures proactive identification and resolution of issues.

**1. Telemetry and Observability Foundations

• 1.1 Distributed Tracing Implementation:
  • 1.1.1 End-to-End Request Tracking:
    • Implement distributed tracing (e.g., OpenTelemetry, Jaeger, Zipkin) to track requests across distributed systems.
    • Ensure trace IDs and spans are automatically generated and propagated.
  • 1.1.2 Trace Visualization and Analysis:
    • Utilize tracing tools to visualize request flows and identify latency bottlenecks.
    • Implement trace analysis for root cause identification and performance optimization.
• 1.2 Structured Logging Standardisation:
  • 1.2.1 JSON Logging Format:
    • Standardise on JSON logging format for consistent and parsable log data.
    • Implement correlation IDs to link log entries across different services.
  • 1.2.2 Log Aggregation and Analysis:
    • Aggregate logs from all services into a central logging system.
    • Implement log analysis tools for searching, filtering, and visualizing log data.
• 1.3 KPI Publication to Central Monitoring:
  • 1.3.1 Key Performance Indicator (KPI) Metrics:
    • Ensure all services publish key performance indicators (KPIs) to a central monitoring system.
    • Define and track metrics related to latency, error rates, and resource utilization.
  • 1.3.2 Real-Time Monitoring Dashboards:
    • Create real-time monitoring dashboards to visualize KPIs and system health.
    • Implement alerting based on KPI thresholds and anomaly detection.

By embedding telemetry and observability, organisations gain real-time insights into system behaviour, enabling proactive issue resolution and performance optimization.