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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
v4.3.7
Official
Datadog
The CloudQuery Datadog plugin extracts your Datadog information and loads it into any supported CloudQuery destination
Publisher
cloudquery
Repositorygithub.com
Latest version
v4.3.7
Type
Source
Platforms
Date Published
Mar 26, 2024
S3
v5.1.1
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
v5.1.1
Type
Destination
Platforms
Date Published
Mar 26, 2024
Table of Contents
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: "v4.3.7"
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: "v5.1.1"
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