Export from Azure DevOps to Kafka

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Azure DevOps plugin allows you to sync data from Azure DevOps to any destination, including Kafka. It's free, open source, requires no account, and takes only minutes to get started.

Ready? Let's dive right in!

Step 1. Install the CloudQuery CLI

The CloudQuery CLI is a command-line tool that runs the sync. It supports MacOS, Linux and Windows.

brew install cloudquery/tap/cloudquery

Step 2. Configure the Azure DevOps source plugin

Create a configuration file for the Azure DevOps plugin and set up authentication.

Configuration

Create a file called azuredevops.yaml and add the following contents:

kind: source
# Common source-plugin configuration
spec:
  name: azuredevops
  path: cloudquery/azuredevops
  version: "v1.3.1"
  tables: ["*"]
  destinations: ["kafka"]

  # Azure DevOps specific configuration
  spec:
    personal_access_token: "${AZURE_DEVOPS_PERSONAL_ACCESS_TOKEN}"
    organization_url: "${AZURE_DEVOPS_ORGANIZATION_URL}"

This example uses the AZURE_DEVOPS_PERSONAL_ACCESS_TOKEN and AZURE_DEVOPS_ORGANIZATION_URL environment variables. You can also hardcode the values in the configuration file, but this is not advised for production settings.

Fine-tune this configuration to match your needs. For more information, see the Azure DevOps Plugin ↗ page in the docs.

Authentication

You will need an API token to access Azure DevOps resources. This can be obtained by creating an API token (opens in a new tab). It's recommended to allow only read access to the resources you need to sync.

Step 3. Configure the Kafka destination plugin

Create a configuration file for the Kafka plugin and set up authentication.

Configuration

Create a file called kafka.yaml and add the following contents:

This example configures connects to a Kafka destination with no authentication and pushes messages in JSON format. Note that the plugin only supports append write-mode.

The (top level) spec section is described in the Destination Spec Reference.

kind: destination
spec:
  name: "kafka"
  path: "cloudquery/kafka"
  version: "v3.0.1"
  write_mode: "append" # only supports 'append'

  spec:
    brokers: ["<broker-host>:<broker-port>"]
    format: "json"

Fine-tune this configuration to match your needs. For more information, see the Kafka Plugin ↗ page in the docs.

Step 4. Start the Sync

Run the following command in your terminal to start the sync

cloudquery sync azuredevops.yaml kafka.yaml

And away we go! 🚀 The sync will run until completion, fetching all selected tables from Azure DevOps. Any errors will be logged to a file called cloudquery.log.

Export from Azure DevOps to Kafka

Step 1. Install the CloudQuery CLI

Step 2. Configure the Azure DevOps source plugin

Configuration

Authentication

Step 3. Configure the Kafka destination plugin

Configuration

Step 4. Start the Sync

Further Reading