Sync data from End of Life to S3
CloudQuery is the simple, fast data integration platform that can fetch your data from End of Life APIs and load it into S3
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Step by step guide for how to export data from End of Life to S3
Table of Contents
MacOS Setup
Step 1: Install CloudQuery
To install CloudQuery, run the following command in your terminal:
brew install cloudquery/tap/cloudquery
Step 2: Create a Configuration File
Next, run the following command to initialize a sync configuration file for End of Life to S3:
cloudquery init --source=endoflife --destination=s3
This will generate a config file named endoflife_to_s3.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 login
Step 4: Run a Sync
cloudquery sync endoflife_to_s3.yaml
This will start syncing data from the End of Life API to your S3 environment! 🚀
See the CloudQuery documentation portal for more deployment guides, options and further tips.
FAQs
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Which permissions do I need to grant in S3 in order to sync from End of Life?
PutObject
permissions to sync to the S3 destination and we recommend that you grant only these permissions to CloudQuery in order to keep your setup as secure as possible. CloudQuery does not require access to your S3 cloud configuration settings, only permission to add objects to your S3 buckets.Can CloudQuery read from my credentials and config S3 files?
.aws
directory of your home folder. The two files are almost identical in format but if there is a conflict, CloudQuery will prioritise the credential information that it reads from the credentials
file over those found in config
.