Monitoring Observability

Monitoring & Observability

Core Workflow: Observability Implementation

Use this decision tree to determine your starting point:

Are you setting up monitoring from scratch?
├─ YES → Start with "1. Design Metrics Strategy"
└─ NO → Do you have an existing issue?
    ├─ YES → Go to "9. Troubleshooting & Analysis"
    └─ NO → Are you improving existing monitoring?
        ├─ Alerts → Go to "3. Alert Design"
        ├─ Dashboards → Go to "4. Dashboard & Visualization"
        ├─ SLOs → Go to "5. SLO & Error Budgets"
        ├─ Tool selection → Read references/tool_comparison.md
        └─ Using Datadog? High costs? → Go to "7. Datadog Cost Optimization & Migration"

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1. Design Metrics Strategy

Start with The Four Golden Signals

Every service should monitor: Latency (p50/p95/p99), Traffic (req/s), Errors (failure rate), Saturation (resource utilization).

RED Method (request-driven): Rate, Errors, Duration | USE Method (infrastructure): Utilization, Saturation, Errors

Quick Start - Web Application Example:

# Rate (requests/sec)
sum(rate(http_requests_total[5m]))