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CricRadio (Containerizing using Docker)

Listen to the Commentary of Live Cricket Matches.

Components of the Project

✨ MySQL Database

✨ Kafka

✨ Kafka's REST API

✨ Go Microservice (Heart of the Project)

  • Get Live Matches from ESPNCricInfo API and update to mySQL database.
  • Scrape the Web page of each match to get ball-to-ball commentary.
  • Create a unique topic in Kafka for each match and update ball-to-ball commentary to Kafka.

✨ Web Microservice (Face of the Project)

  • Developed Using React.
  • Display List of Live Matches.
  • Pull the text Commentary from Kafka and convert it into speech.
  • Play the commentary of the Selected Match.

Run the project on your local machine

✨ Install Docker & Docker Compose

✨ Clone the Code into your machine.

✨ Start the Docker Daemon

✨ change the directory to "CricRadio" & Run the following command

docker-compose up

✨ Go to localhost:3000 to listen to the commentary. It's that simple. If you have any problem, create an issue here.

Building or Pulling Docker Images for each MicroService to run as a Container

✨ GO MicroService

  • Write the Dockerfile
  • Run the following command to build the Docker Image inside "cricradio-go-svc" directory
docker build -t suhasgumma/cricradio-go-svc:latest . 
  • Create a Repository in Dockerhub & Push the Image.
docker push suhasgumma/cricradio-go-svc:latest   
  • Command to pull the image from Dockerhub
docker pull suhasgumma/cricradio-go-svc

✨ Web MicroService

  • Write the Dockerfile
  • Run the following commands to build the Docker Image inside "cricradio-web-svc" directory
docker build -t suhasgumma/cricradio-web-svc:latest . 
  • Create a Repository in Dockerhub & Push the Image.
docker push suhasgumma/cricradio-web-svc:latest   
  • Command to pull the image from Dockerhub
docker pull suhasgumma/cricradio-web-svc
  • Change the base image of node to "alpine" version to reduce the image size.
docker build -t suhasgumma/cricradio-web-svc:alpine . 
docker push suhasgumma/cricradio-web-svc:alpine  

✨ MySQL

✨ Kafka

Using Volumes to Persist Data

  • If the Container stops running for any reason, the data will be lost if not stored in volumes.
  • In Our project, SQL databases and Kafka topics are vulnerable to data loss.
  • To counter that, we use named volumes to persist data on the local machine.

Writing docker-compose.yml

  • List all the containers as services.
  • Set the required environment variables for each service.
  • Map the ports required.
  • Define volumes required for the service if needed.
  • List all the volumes needed in the volumes section.

Running Containers

Web Page

When There are no matches

When the matches are going on

About

Listen to the Commentary of Live Cricket Matches.

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