Sync data from Datadog to File
CloudQuery is the simple, fast data integration platform that can fetch your data from Datadog APIs and load it into File
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Step by step guide for how to export data from Datadog to File
Table of Contents
MacOS Setup
Step 1: Install CloudQuery
To install CloudQuery, run the following command in your terminal:
brew install cloudquery/tap/cloudqueryStep 2: Create a Configuration File
Next, run the following command to initialize a sync configuration file for Datadog to File:
cloudquery init --source=datadog --destination=fileThis will generate a config file named datadog_to_file.yaml. Follow the instructions to fill out the necessary fields to authenticate against your own environment.
Step 3: Log in to CloudQuery CLI
Next, log in to the CloudQuery CLI. If you have't already, you can sign up for a free account as part of this step:
cloudquery loginStep 4: Run a Sync
cloudquery sync datadog_to_file.yamlThis will start syncing data from the Datadog API to your File environment! 🚀
See the CloudQuery documentation portal for more deployment guides, options and further tips.
FAQs
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What authentication details do I need to sync from Datadog to File?
DD_CLIENT_API_KEY and a DD_CLIENT_APP_KEY. Full details on how to do this can be found in the Datadog documentation. When you set up the app key, Datadog will give you the option to set an access scope for that particular key. Cloudquery only requires read access to sync data from Datadog to File and you can limit the fields that the key grants access to as required.