Product service holds data about all known products. Product itself is a main artifact for sales and marketing departments, that may be active whether deactivated. Main operable entities: Product, Price, Currency, Discount.

This text provides instructions on how to set up and run performance tests for the product-service using Docker and K6.

• Docker and Docker Compose installed on your machine.
• Basic understanding of Docker and performance testing concepts.

1. Environment Variables: Ensure that the necessary environment variables are set. These variables are used by the services defined in docker-compose.yml. These include:

   • HOST
   • POSTGRES_DATABASE
   • POSTGRES_USERNAME
   • POSTGRES_PASSWORD
   • PGADMIN_EMAIL
   • PGADMIN_PASSWORD

   You can set these variables in your environment or use a .env file at the root of your project.

2. Build and Start Services: Use the following command to build and start the necessary services:

   docker-compose up -d
   

   This will start the product-service, postgres, pgadmin, influxdb, grafana, k6, and prometheus services as defined in your docker-compose.yml.

1. K6 Script: Prepare your K6 script for performance testing. The script should be located in the performance_scripts directory as specified in the docker-compose.yml.

2. Execute Test: To run the performance test, use the following command:

   docker-compose run -e VUS=<number_of_virtual_users> k6 run /scripts/performance-tests-product-service.js
   

• Replace <number_of_virtual_users> with the desired number of virtual users for the test.

• Grafana:
  Grafana is set up to visualize the results. Access it at https://localhost:3000. Default login details are usually admin/admin.

• InfluxDB:
  K6 sends the test results to InfluxDB, which Grafana uses as a data source.

• Prometheus:
  Prometheus is used for monitoring; access it at https://localhost:9090.

• The performance test configuration can be adjusted in the K6 script.
• Ensure that all services in the docker-compose.yml are properly configured and running before executing the tests.