Getting Started with OpenTelemetry Demo: A Beginner's Guide

Scenario: A developer new to OpenTelemetry is looking for resources to understand the basics of the OpenTelemetry Demo project. The official OpenTelemetry Getting Started guide is an excellent resource for beginners. In this comprehensive example, we will expand on the scenario and provide a detailed step-by-step guide to help the developer gain a solid understanding of the OpenTelemetry Demo project.

First, let's briefly introduce the OpenTelemetry Demo project. The OpenTelemetry Demo is a microservice-based distributed system designed to illustrate the implementation of OpenTelemetry in a near real-world environment. It provides a realistic example of a distributed system, acts as a base for vendors and tooling authors to extend and demonstrate their OpenTelemetry integrations, and creates a living example for OpenTelemetry contributors to use for testing new versions of the API, SDK, and other components or enhancements.

Now, let's dive into the project structure and explore the various files and directories in the codebase:

  1. internal/: This directory contains the internal packages of the project.
  2. internal/tools/: This directory contains various tools used within the project.
  3. internal/tools/go.mod: This file is the Go module file for managing dependencies.
  4. internal/tools/go.sum: This file stores the cryptographic checksums of the modules.
  5. internal/tools/ This Python script is used for checking the correctness of the OpenTelemetry configuration files.
  6. internal/tools/tools.go: This Go file contains various utility functions for the project.
  7. kubernetes/: This directory contains the Kubernetes configuration files for deploying the OpenTelemetry Demo.
  8. pb/: This directory contains the Protocol Buffers (protobuf) files used for defining the API messages.
  9. src/: This directory contains the source code for all the microservices in the OpenTelemetry Demo.

Next, let's discuss the various microservices in the OpenTelemetry Demo:

  • accountingservice/: This microservice handles accounting-related functionality.
  • adservice/: This microservice is responsible for handling ad-related functionality.
  • cartservice/: This microservice manages the shopping cart functionality.
  • checkoutservice/: This microservice handles the checkout process.
  • currencyservice/: This microservice is responsible for handling currency-related functionality.
  • emailservice/: This microservice manages email-related functionality.
  • flagd/: This microservice is used for flagging and alerting.
  • frauddetectionservice/: This microservice handles fraud detection.
  • frontend/: This microservice contains the frontend application code.
  • *frontendproxy/***: This microservice acts as a reverse proxy for the frontend application.
  • *grafana/***: This microservice is used for visualizing the collected metrics.
  • *imageprovider/***: This microservice provides image services.
  • *kafka/***: This directory contains the Kafka configuration files.
  • *loadgenerator/***: This microservice is used for load testing.
  • *otelcollector/***: This microservice is responsible for collecting and processing telemetry data.
  • *paymentservice/***: This microservice handles payment-related functionality.
  • *productcatalogservice/***: This microservice manages the product catalog.
  • *quoteservice/***: This microservice handles quote-related functionality.
  • *recommendationservice/***: This microservice is responsible for handling recommendation-related functionality.
  • *shippingservice/***: This microservice manages shipping-related functionality.

To verify the understanding of the project and codebase, the following tests can be performed:

  1. Build and run each microservice to ensure they are functioning correctly.
  2. Use the OpenTelemetry Collector to collect and process telemetry data from the microservices.
  3. Visualize the collected metrics using Grafana.
  4. Use the load generator to test the performance and scalability of the system.
  5. Verify that the OpenTelemetry SDKs are correctly instrumenting the microservices.

By following this comprehensive guide, the developer should now have a solid understanding of the OpenTelemetry Demo project and its various components.