alpha-core:observability

To set up distributed tracing and structured logging, you need to establish a robust observability stack using tools like OpenTelemetry and ELK. This enables consistent, searchable logs and traces requests across distributed systems for faster debugging.

The best way to correlate error logs with traces and metrics is to implement cross-pillar correlation within your observability stack. This approach pinpoints root causes quickly by linking symptoms across logs, metrics, and distributed traces.

Yes, this observability approach supports symptom-based alerting and SLO-driven incident response. It covers defining SLOs and building dashboards to enable proactive monitoring and faster issue resolution across your services.

Yes, you can use Prometheus and Grafana with OpenTelemetry for metrics collection. This observability stack integrates these tools to collect key performance indicators and visualize them for proactive monitoring.

Datadog and ELK both establish comprehensive observability stacks covering logging, metrics, and tracing. ELK provides self-hosted searchable logs, while Datadog offers a unified commercial platform for monitoring and debugging distributed systems.

You need OpenTelemetry alongside Prometheus metrics to achieve cross-pillar correlation. While Prometheus handles metrics collection, OpenTelemetry provides the standardized instrumentation for distributed tracing, completing the observability picture.