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Export from Datadog to Azure Blob Storage

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

The CloudQuery Datadog plugin allows you to sync data from Datadog to any destination, including Azure Blob Storage. It takes only minutes to get started.

Datadog
datadog
Official
Premium

Datadog

The CloudQuery Datadog plugin extracts your Datadog information and loads it into any supported CloudQuery destination

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.0.0

Type

Source

Platforms
Date Published

azblob
Official

Azure Blob Storage

This destination plugin lets you sync data from a CloudQuery source to remote Azure Blob Storage storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v3.5.10

Type

Destination

Platforms
Date Published

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

Logging in is required to use premium plugins and premium tables in open-core plugins.

cloudquery login

Step 3. Configure Datadog source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  # Source spec section
  name: "datadog"
  path: "cloudquery/datadog"
  registry: "cloudquery"
  version: "v5.0.0"
  tables: ["*"]
  destinations: ["azblob"]

  spec:
    # required
    accounts:
      - # required
        name: example_account
        # required
        api_key: ${DATADOG_EXAMPLE_ACCOUNT_API_KEY}
        # required
        app_key: ${DATADOG_EXAMPLE_ACCOUNT_APP_KEY}
    # Optional parameters
    # site: datadoghq.eu

Step 4. Configure Azure Blob Storage destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: "azblob"
  path: "cloudquery/azblob"
  registry: "cloudquery"
  version: "v3.5.10"
  spec:
    storage_account: "cqdestinationazblob"
    container: "test"
    path: "path/to/files"

    format: "csv" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # batch_size: 10000
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s

Step 5. Run Sync

cloudquery sync datadog.yml azblob.yml
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