senior-observability

Automated dashboard generation creates production-ready Grafana and NewRelic visualizations from service metrics without manual scripting. This Skill generates templated dashboards for APIs, databases, queues, and caches using Python tooling and platform-specific query languages, reducing setup time and ensuring consistent monitoring across distributed services.

Yes. This Skill automates alert rule generation in multi-platform formats and computes SLI/SLO targets with burn-rate alerts to track error budgets. It applies RED and USE methodologies across microservice environments, eliminating manual alerting configuration and enabling data-driven reliability thresholds.

The Skill produces dashboards, alert rules, SLO calculations, metrics analysis reports, and runbooks conforming to cross-platform standards. It covers metrics collection, visualization, distributed tracing, logging architecture, and alerting for infrastructure and application layers in microservice and platform-agnostic environments.

Yes. This Skill supports templated PromQL and NRQL queries, generating platform-specific monitoring artifacts for Grafana, NewRelic, and other observability platforms. It handles multi-platform alert formats and query standardization across different monitoring backends.

RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) are automated metric analysis frameworks this Skill applies to APIs, databases, and infrastructure. The Skill generates RED/USE-aligned dashboards, alerts, and anomaly detection patterns to standardize observability across diverse service types.

You need service metric data, target platforms (Grafana, NewRelic), and understanding of your service architecture (APIs, databases, queues, caches). The Skill requires Python runtime and generates outputs compatible with existing monitoring infrastructure; no prior observability scripting expertise is necessary.