API Monitoring Project — Complete Observability Implementation

In this tutorial, you will learn about API Monitoring Project. We cover key concepts, practical examples, and best practices to help you master this topic.

This project brings together all monitoring concepts. You will set up a complete observability stack for an API including Prometheus, Grafana, OpenTelemetry, and alerting.

What You'll Learn

You'll build a production-ready monitoring stack with metrics, structured logging, distributed tracing, dashboards, and alerting.

Why It Matters

Building a complete monitoring stack teaches you how all components integrate. This mirrors how real engineering teams monitor their APIs.

flowchart TD
    A[Instrument API] --> B[Prometheus Metrics]
    A --> C[Structured JSON Logs]
    A --> D[OpenTelemetry Traces]
    B --> E[Grafana Dashboard]
    C --> F[ELK Stack]
    D --> G[Jaeger Tracing]
    E --> H[Alerts]
    F --> H
    H --> I[Slack/PagerDuty]

Project Requirements

• Instrument Flask API with Prometheus metrics
• Implement structured JSON logging
• Add OpenTelemetry distributed tracing
• Create Grafana dashboard (request rate, errors, latency)
• Set up Alertmanager with Slack Webhook
• Health check endpoints (liveness + readiness)
• SLO tracking (99.9% uptime)
• Anomaly detection on request rate

Mini Project

Complete the full observability stack with Docker Compose. Include API (Flask with instrumentation), Prometheus, Grafana, Jaeger, Elasticsearch, Logstash, Kibana, and Alertmanager. Test by introducing errors and observing detection.

What's Next

This concludes the API development series. Review all topics or explore specific areas deeper.