Scenario: A developer wants to scale OpenTelemetry Demo, a microservice-based distributed system, to handle increased traffic. The OpenTelemetry Demo is a community project that provides a realistic example of a distributed system using OpenTelemetry API, SDK, and tools. In this scenario, we will discuss how to scale the OpenTelemetry Demo to meet the demands of increased traffic.
Codebase Files and Directories:
- internal/tools/go.mod, internal/tools/go.sum: Dependency management for the OpenTelemetry tools.
- kubernetes/opentelemetry-demo.yaml: Kubernetes configuration file for the OpenTelemetry Demo.
- src/accountingservice/go.mod, src/accountingservice/go.sum: Dependency management for the Accounting Service.
- src/adservice/build.gradle, src/adservice/gradlew, src/adservice/gradlew.bat, src/adservice/settings.gradle: Gradle configuration files for the Ad Service.
- src/cartservice/cartservice.sln: Solution file for the Cart Service in .NET.
- src/checkoutservice/go.mod, src/checkoutservice/go.sum: Dependency management for the Checkout Service.
- src/currencyservice/CMakeLists.txt, src/currencyservice/Dockerfile: Configuration files for the Currency Service.
- src/emailservice/Gemfile, src/emailservice/Gemfile.lock: Dependency management for the Email Service using Ruby.
- src/frontend/next.config.js, src/frontend/package.json, src/frontend/tsconfig.json: Configuration files for the Frontend application.
- src/frontendproxy/Dockerfile, src/frontendproxy/README.md: Configuration files for the Frontend Proxy.
- src/grafana/grafana.ini: Configuration file for Grafana.
- src/imageprovider/nginx.conf.template: Configuration file for Nginx in the Image Provider.
- src/kafka/Dockerfile, src/kafka/README.md: Configuration files for the Kafka cluster.
- src/loadgenerator/locustfile.py: Configuration file for Locust, the load testing tool.
- src/otelcollector/otelcol-config.yml, src/otelcollector/otelcol-config-extras.yml: Configuration files for the OpenTelemetry Collector.
- src/paymentservice/charge.js, src/paymentservice/index.js, src/paymentservice/logger.js, src/paymentservice/opentelemetry.js: JavaScript files for the Payment Service.
- src/productcatalogservice/go.mod, src/productcatalogservice/go.sum: Dependency management for the Product Catalog Service.
- src/quoteservice/composer.json: Dependency management for the Quotes Service using Node.js.
- src/recommendationservice/recommendation_server.py: Python file for the Recommendation Service.
- src/shippingservice/Cargo.toml, src/shippingservice/Dockerfile: Configuration files for the Shipping Service.
- test/tracetesting/tracetest-config.yaml, test/tracetesting/tracetest-provision.yaml: Configuration files for trace testing.
Documentation:
- https://grafana.com/docs/opentelemetry/collector: OpenTelemetry Collector documentation.
- https://opentelemetry.io/community: OpenTelemetry Community documentation.
- https://grafana.com/docs/opentelemetry/collector/how-to-scale: Scaling the OpenTelemetry Collector documentation.
- https://opentelemetry.io/docs/collector/scaling: Scaling the OpenTelemetry Collector documentation.
- https://opentelemetry.io/docs/demo/requirements/architecture: Architecture Requirements for the OpenTelemetry Demo.
Tests:
- Verify that all microservices are running and communicating with each other.
- Use load testing tools like Locust to simulate increased traffic and measure the response time and throughput of each microservice.
- Monitor the telemetry data using Grafana to identify bottlenecks and performance issues.
- Scale individual microservices by adding more instances or nodes, and measure the impact on performance and resource utilization.
- Scale the OpenTelemetry Collector by adding more receivers and exporters, and measure the impact on performance and resource utilization.
- Monitor the system for any degradation in performance or availability, and adjust the scaling strategy accordingly.
Steps to Scale OpenTelemetry Demo:
- Identify the microservices that are expected to handle the biggest share of the load and which formats are expected to be received by the OpenTelemetry Collector.
- Scale individual microservices by adding more instances or nodes. This can be done using Kubernetes or other container orchestration tools.
- Scale the OpenTelemetry Collector by adding more receivers and exporters. This can be done by configuring the OpenTelemetry Collector or by adding more collector instances.
- Monitor the system using Grafana to identify any performance issues or bottlenecks.
- Adjust the scaling strategy as needed to ensure that the system can handle the increased traffic.
Conclusion: Scaling OpenTelemetry Demo involves identifying the microservices that are expected to handle the biggest share of the load and which formats are expected to be received by the OpenTelemetry Collector. Then, individual microservices can be scaled by adding more instances or nodes, and the OpenTelemetry Collector can be scaled by adding more receivers and exporters. Monitoring the system using Grafana is essential to identify any performance issues or bottlenecks and adjust the scaling strategy as needed.
