kafka-connect-cosmosdb VS Docker Compose

Kafka Connect CosmosDB : https://github.com/microsoft/kafka-connect-cosmosdb/blob/0f5d0c9dbf2812400bb480d1ff0672dfa6bb56f0/CHANGELOG.md

The Azure Cosmos DB connector allows you to move data between Azure Cosmos DB and Kafka. It’s available as a source as well as a sink. The Azure Cosmos DB Sink connector writes data from a Kafka topic to an Azure Cosmos DB container and the Source connector writes changes from an Azure Cosmos DB container to a Kafka topic. At the time of writing, the connector is in pre-production mode. You can read more about it on the GitHub repo or install/download it from the Confluent Hub.

“Compose simplifies the control of your entire application stack, making it easy to manage services, networks, and volumes in a single, comprehensible YAML configuration file. Then, with a single command, you create and start all the services from your configuration file.” - Docker documentation

curl -fsSL https://get.docker.com -o get-docker.sh sudo sh get-docker.sh # Install docker compose sudo curl -L "https://github.com/docker/compose/releases/download/1.29.2/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose # Apply executable permissions to the binary sudo chmod +x /usr/local/bin/docker-compose # Run Project docker-compose up -d

Docker,

This foundation now opens the door to even more powerful concepts. You can explore more advanced concepts such as container networking, streamlining the management of complex applications with Docker Compose, and how to make your application data persistent using volumes.

In many projects that are containerized, especially in cases where development is also done locally with docker-compose, teams often have two Dockerfiles, 1 for Development, the other for Production. If you happen to have multiple environments like pre-prod, staging and so on, some teams could have different Dockerfiles for these environments.

sudo curl -L "https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m)" -o /usr/local/bin/docker-compose

You can also use Docker Compose to deploy the cluster, without having to write all the previous commands.

[ec2-user]$ sudo yum update -y [ec2-user]$ sudo yum install -y docker [ec2-user]$ sudo service docker start [ec2-user]$ sudo curl -L https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose [ec2-user]$ sudo chmod +x /usr/local/bin/docker-compose [ec2-user]$ docker --version Docker version 20.10.23, build 7155243 [ec2-user]$ docker-compose --version Docker Compose version v2.18.1

Docker Compose Documentation

groupadd -g 997 docker gpasswd -a jenkins docker curl -L https://github.com/docker/compose/releases/tag/1.29.2/docker-compose-`uname -s`-`uname -m` > /usr/local/bin/docker-compose chmod +x /usr/local/bin/docker-compose #confirm the docker-compose is installed docker-compose version