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Export from Datadog to S3

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 S3. It takes only minutes to get started.

Datadog
datadog
Official

Datadog

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

Publisher

cloudquery

Repositorygithub.com
Latest version

v4.3.3

Type

Source

Platforms
Date Published

Feb 28, 2024

Price

Free

S3
s3
Official

S3

This destination plugin lets you sync data from a CloudQuery source to remote S3 storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.0.0

Type

Destination

Platforms
Date Published

Feb 27, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. 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: "v4.3.3"
  tables: ["*"]
  destinations: ["s3"]

  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 3. Configure S3 destination plugin

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

kind: destination
spec:
  name: "s3"
  path: "cloudquery/s3"
  registry: "cloudquery"
  version: "v5.0.0"
  write_mode: "append"
  spec:
    bucket: "bucket_name"
    region: "region-name" # Example: us-east-1
    path: "path/to/files/{{TABLE}}/{{UUID}}.parquet"
    format: "parquet" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # athena: false # <- set this to true for Athena compatibility
    # test_write: true # tests the ability to write to the bucket before processing the data
    # endpoint: "" # Endpoint to use for S3 API calls.
    # endpoint_skip_tls_verify # Disable TLS verification if using an untrusted certificate
    # use_path_style: false
    # batch_size: 10000 # 10K entries
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s # 30 seconds

Step 4. Run Sync

cloudquery sync datadog.yml s3.yml
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