What problem does it solve?
This skill addresses the lack of real-time visibility into cloud infrastructure and applications by unifying metrics, logs, and traces to detect performance regressions, outages, and reliability issues quickly and accurately.
Core Features & Use Cases
- SLI/SLO-driven monitoring: Define Service Level Indicators and Objectives, implement SLO-based alerting and error budget policies to prioritize incidents.
- Metrics, logs, and traces: Instrument applications with OpenTelemetry and Prometheus exporters, aggregate structured logs, and correlate traces to speed root-cause analysis.
- Dashboards & alert routing: Build Grafana and CloudWatch dashboards, configure Alertmanager and cloud alarms, and route critical incidents to PagerDuty or Slack.
- Use case: Onboard Kubernetes microservices on AWS to monitor p99 latency, error rates, and infrastructure saturation while minimizing alert fatigue with multi-window burn-rate rules.
Quick Start
Set up Prometheus and Grafana for my Kubernetes cluster on AWS, instrument services with OpenTelemetry, create p99 latency and error-rate SLOs, and route critical alerts to PagerDuty.