observer-reporter

You can generate daily infrastructure reports using bash scripts and Python to collect CPU, memory, and error metrics. The Skill automates this collection process and formats the results into a structured daily status report for infrastructure observability.

Set up Prometheus alerting by instrumenting applications and defining intelligent alert thresholds based on your Service Level Objectives (SLOs). This ensures proactive issue detection by triggering alerts when infrastructure metrics violate compliance targets.

Yes, the observability stack supports centralized logging with Loki and distributed tracing with Jaeger. This integration provides deep system insights by correlating application logs and traces alongside infrastructure metrics collected from Prometheus.

Yes, you can use Python and boto3 for AWS cost reporting and analysis. The Skill utilizes these dependencies to retrieve and parse AWS cost data, outputting automated cost summaries for inclusion in your daily infrastructure reports.

Create Grafana dashboards for SLO compliance by integrating Prometheus metrics and Loki logs. This approach visualizes infrastructure health and application performance data, providing comprehensive dashboarding for tracking system observability and SLO targets.

You need jq and curl to query APIs and parse JSON responses during infrastructure monitoring. These dependencies facilitate metrics collection and data extraction from observability endpoints, enabling automated reporting scripts to process system health data.