Monitoring and Alerting Stack for Energy Analytics Operations

Added Jun 2025 3 design docs

Energy analytics platforms ingest continuous streams of operational data, and the teams running them need to know immediately when ingestion lags, services degrade, or infrastructure saturates — because gaps in energy data are often unrecoverable. This project builds the DevOps workflow and monitoring stack that provides that assurance. The intern sets up the platform's delivery and operations tooling: applications are containerized with Docker and orchestrated on Kubernetes, Jenkins automates the build and deployment pipeline, and Ansible manages configuration consistently across environments. The heart of the project is observability — Prometheus is configured to scrape metrics from services, nodes, and the pipeline itself, while Grafana dashboards visualize throughput, resource usage, and service health, with alerting rules tuned to page on genuine anomalies rather than noise. The intern learns to stand up monitoring as a first-class system rather than an afterthought: choosing metrics that matter, designing dashboards people actually read, and calibrating alerts for signal. Combined with the CI/CD and orchestration work, this is the operational core of platform engineering in the energy sector and beyond.

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