observability-setup

Configure monitoring, alerting, and dashboards for production microservices by defining SLO-based metrics, generating alert rule templates for error rates and latency, and building USE-based dashboards. This ensures complete observability and incident readiness across distributed services.

Set up distributed tracing with OpenTelemetry by configuring instrumentation, trace propagation, and sampling policies across microservices. Establish log-trace correlation to ensure end-to-end visibility into request flows and latency bottlenecks.

Yes, this observability setup works with Prometheus, Grafana, and Datadog integrations by scanning for existing agent configurations and applying multi-tool integration. It aligns alerting pipelines and dashboards across your existing observability stack.

Define SLOs and error budgets for your services by establishing clear Service Level Indicators (SLIs) and target thresholds. This creates measurable reliability targets and guides alerting rules for error budget burn rates.

Yes, you can generate an observability readiness report with runbooks for your release. This report identifies configuration gaps, documents crash-recovery workflows, and verifies SLO alignment and incident readiness before launch.