LaunchDarkly enables software engineers and non-engineers to collaborate more effectively on releases by giving them the visibility they need. LaunchDarkly is a SaaS platform for developers to manage feature flags. By decoupling feature rollout and code deployment, LaunchDarkly enables developers to test their code live in production, gradually release features to groups of users, and manage flags throughout their lifecycle. This allows developers to release better software with less risk.
S3 Glue is a server less, salable data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning, and application development. It provides all the capabilities required for data integration, so you can get insights and put your data to use in minutes instead of months. With S3 Glue, there is no infrastructure to set up or manage. You can pay only for the resources consumed while your jobs are continuing.
1. First, navigate to the Airbyte dashboard and click on "Sources" in the left-hand menu.
2. Click on the "Create a new source" button and select "LaunchDarkly" from the list of available connectors.
3. Enter a name for your LaunchDarkly source and click "Next".
4. Enter your LaunchDarkly API access token in the "API Access Token" field. You can find your access token in your LaunchDarkly account settings.
5. Enter the name of the project you want to connect to in the "Project Name" field.
6. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your LaunchDarkly account.
7. If the test is successful, click "Create" to save your LaunchDarkly source.
8. You can now configure your source settings, such as selecting which data to sync and setting up a sync schedule.
9. Once you have configured your source settings, click "Save" to start syncing data from LaunchDarkly to Airbyte.
1. Log in to your Airbyte account and navigate to the "Destinations" tab.
2. Click on "Add Destination" and select "S3 Glue" from the list of available connectors.
3. Enter your AWS access key ID and secret access key in the appropriate fields.
4. Select the AWS region where you want to store your data.
5. Enter the name of the S3 bucket where you want to store your data.
6. Choose the format in which you want to store your data (e.g. CSV, JSON, Parquet).
7. Enter the prefix for your data files (e.g. "mydata/").
8. Choose whether you want to compress your data files (e.g. Gzip).
9. Click on "Test Connection" to ensure that Airbyte can connect to your S3 Glue destination.
10. If the connection is successful, click on "Save" to save your S3 Glue destination configuration.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
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Frequently Asked Questions
LaunchDarkly's API provides access to a wide range of data related to feature flags and their usage. The following are the categories of data that can be accessed through the API:
1. Feature flags: Information about the feature flags themselves, including their names, descriptions, and targeting rules.
2. Environments: Details about the environments in which the feature flags are being used, such as their names and descriptions.
3. Users: Information about the users who are interacting with the feature flags, including their user IDs and attributes.
4. Events: Data related to the events triggered by the feature flags, such as impressions, clicks, and conversions.
5. Metrics: Metrics related to the performance of the feature flags, such as error rates, latency, and throughput.
6. Projects: Information about the projects in which the feature flags are being used, including their names and descriptions.
7. Teams: Details about the teams responsible for managing the feature flags, such as their names and contact information.
Overall, LaunchDarkly's API provides a comprehensive set of data that can be used to monitor and optimize the use of feature flags in software development.