streamify

Setup Kafka VM

We will setup Kafka and eventsim in two separate docker processes in a dedicated compute instance. Eventsim will communicate with port 9092 of the broker container of Kafka to send events.

• Establish SSH connection

  ssh streamify-kafka
  

• Clone git repo and cd into Kafka folder

  git clone https://github.com/kprakhar27/streamify.git && \
  

• Install anaconda, docker & docker-compose.

  bash ~/streamify/scripts/vm_setup.sh && \
  exec newgrp docker
  

• Set the evironment variables -

  • External IP of the Kafka VM

    export KAFKA_ADDRESS=IP.ADD.RE.SS
    

    Note: You will have to setup these env vars every time you create a new shell session. Or if you stop/start your VM

• Start Kafka

  cd ~/streamify/kafka && \
  docker-compose build && \
  docker-compose up 
  

  Note: Sometimes the broker & schema-registry containers die during startup. You should just stop all the containers with docker-compose down and then rerun docker-compose up.

• The Kafka Control Center should be available on port 9021. Open and check if everything is working fine.

• Open another terminal session for the Kafka VM and start sending messages to your Kafka broker with Eventsim

  bash ~/streamify/scripts/eventsim_startup.sh
  

  This will start creating events for 1 Million users spread out from the current time to the next 24 hours. The container will run in detached mode. Follow the logs to see the progress.

• To follow the logs

  docker logs --follow million_events
  

• The messages should start flowing-in in a few minutes.

• You should see four topics -

  • listen_events
  • page_view_events
  • auth_events
  • status_change_events

• Note: If you happen to re-rerun the evenstim container and face the following error -

  docker: Error response from daemon: Conflict. The container name “/million_events” is already in use by container

  then run the below command

  docker system prune