This is data analyser gRPC microservice for YouTube course.
This application receives data from Data generator gRPC service with gRPC.
This application can return data to Data store gRPC service
To start an application you need to pass variables to .env file.
You can use example .env.example file with some predefined environments.
You can find Docker compose file in docker/docker-compose.yaml.
Application is running on port 8082.
All insignificant features (checkstyle, build check, dto validation) are not presented.
You can run all course applications via docker-compose.yaml from docker
folder.
It contains all needed configs.
Note that all services must be in the same network to communicate with each other.