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Create opentelemtry module for backend application

  1. Environment Preparation

    • Install the required Python libraries and monitoring tools.
    • Ensure Grafana and OpenTelemetry Collector are available in your environment.

  2. Flask Application Instrumentation

    • Configure the OpenTelemetry SDK for tracing and metrics collection.
    • Initialize Flask instrumentation to automatically capture request data.
    • Set up trace export to the OpenTelemetry Collector.

  3. OpenTelemetry Collector Configuration

    • Create a configuration file for the collector.
    • Set up data reception via the OTLP protocol.
    • Configure data export to Prometheus.
    • Start the collector service.

  4. Prometheus Integration

    • Configure Prometheus to scrape metrics from the OpenTelemetry Collector.
    • Verify that application metrics are visible in Prometheus.

  5. Grafana Configuration

    • Add Prometheus as a data source in Grafana.
    • Create a dashboard to visualize metrics and traces.
    • Add panels to monitor request duration, request count, and error rate.

  6. Testing and Verification

    • Run the Flask application.
    • Generate test traffic (HTTP requests).
    • Check that metrics and traces appear correctly in Grafana.

  7. Automation and Deployment

    • Configure helm chart for grafana, prometheus and opentelemetry collector deployment
    • Configure automatic startup and dashboard updates.
    • Ensure data persistence and secure configuration management.