setup-monitoring

Set up monitoring by identifying service needs like API latency, errors, and database performance. Define 3–5 key metrics, establish alert thresholds, create dashboard panels, and configure structured logging with correlation IDs.

Monitor API latency and errors by tracking request rate, error rate, and p99 latency. Establish thresholds such as error rate above 1% or p99 latency over 2 seconds to trigger alerts and document them in a runbook.

Configure structured logs in JSON format, ensuring you include a correlation ID for each request while strictly avoiding PII or secrets. This enables effective traceability across distributed service components.

A service monitoring dashboard should include time series and status panels visualizing your key metrics. Use placeholders for dashboard URLs to track API latency, errors, database performance, and queue depth.

Yes, you can scope monitoring configurations across various cloud providers and environments. The setup identifies what to monitor, such as API latency and queue depth, and adapts the metrics and alerts accordingly.

Define alert thresholds for service observability when setting up initial monitoring or extending existing alerts. Propose severity levels and document responses in a runbook to address error rate spikes and latency variations.