Export from Azure 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 plugin allows you to sync data from Azure to any destination, including Kafka. It takes only minutes to get started.
Azure
The CloudQuery Azure source plugin extracts information from many of the supported services by Microsoft Azure and loads it into any supported CloudQuery destination. Some tables are marked as premium and have a price per 1M rows synced.
Kafka
This plugin is in preview.
This destination plugin lets you sync data from a CloudQuery source to Kafka in various formats such as CSV, JSON. Each table will be pushed to a separate topic
Table of Contents
MacOS Setup
Step 1. Install CloudQuery
brew install cloudquery/tap/cloudqueryStep 2. Log in to CloudQuery CLI
Logging in is required to use premium plugins and premium tables in open-core plugins.
cloudquery loginStep 3. Configure Azure source plugin
You can find more information about the configuration in the plugin documentation
kind: source
spec:
# Source spec section
name: "azure"
path: "cloudquery/azure"
registry: "cloudquery"
version: "v12.2.0"
destinations: ["kafka"]
tables: ["azure_compute_virtual_machines"]
spec:
# Optional parameters
# subscriptions: []
# cloud_name: ""
# concurrency: 50000
# discovery_concurrency: 400
# skip_subscriptions: []
# normalize_ids: false
# oidc_token: ""
# retry_options:
# max_retries: 3
# try_timeout_seconds: 0
# retry_delay_seconds: 4
# max_retry_delay_seconds: 60Step 4. Configure Kafka destination plugin
You can find more information about the configuration in the plugin documentation
kind: destination
spec:
name: "kafka"
path: "cloudquery/kafka"
registry: "cloudquery"
version: "v3.3.8"
write_mode: "append"
spec:
# required - list of brokers to connect to
brokers: ["<broker-host>:<broker-port>"]
# optional - if connecting via SASL/PLAIN, the username and password to use. If not set, no authentication will be used.
sasl_username: "${KAFKA_SASL_USERNAME}"
sasl_password: "${KAFKA_SASL_PASSWORD}"
format: "json" # options: parquet, json, csv
format_spec:
# CSV-specific parameters:
# delimiter: ","
# skip_header: false
# Optional parameters
# compression: "" # options: gzip
# client_id: cq-destination-kafka
# verbose: false
# batch_size: 1000Step 5. Run Sync
cloudquery sync azure.yml kafka.yml