The article explains how to monitor a Flask app with Prometheus: install prometheus-client, instrument routes with Counter, Gauge, and Histogram (e.g., request_count), and expose metrics via flask-prometheus for scraping. It then runs Prometheus in Docker to collect data and sets up Grafana (also in Docker) for dashboards, enabling performance insights, bottleneck detection, and optimization.
Modern apps demand monitoring and observability to understand behavior across complex distributed systems. This article clarifies the difference and shows how Prometheus (metrics, PromQL, alerting) and Grafana (dashboards) combine to collect, store, query, and visualize data, enabling early issue detection, smarter resource allocation, and higher reliability, illustrated with an e-commerce microservices workflow.
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