ConfigCat is a hosted service for feature flag and configuration management. It lets you decouple feature releases from code deployments. Config Cat offers a beautiful easy to understand UI. It has complete a lot of features and more than just enabling and disabling flags. Configcat supplied us with the capability we required for both environment and user specific feature mapping. ConfigCat provides a Supervisor that must be attached to your applications supervision tree and an API for accessing your ConfigCat.
An AWS Data Lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. It is designed to handle massive amounts of data from various sources, such as databases, applications, IoT devices, and more. With AWS Data Lake, you can easily ingest, store, catalog, process, and analyze data using a wide range of AWS services like Amazon S3, Amazon Athena, AWS Glue, and Amazon EMR. This allows you to build data lakes for machine learning, big data analytics, and data warehousing workloads. AWS Data Lake provides a secure, scalable, and cost-effective solution for managing your organization's data.
1. First, you need to obtain your ConfigCat API credentials. You can do this by logging in to your ConfigCat account and navigating to the API credentials section. Here, you will find your API key and secret key.
2. Next, open the Airbyte platform and navigate to the Sources tab. Click on the "Create a new source" button and select ConfigCat from the list of available connectors.
3. In the ConfigCat source configuration page, enter a name for your source and paste your API key and secret key in the appropriate fields.
4. You can also choose to enable SSL verification and set a timeout for the API requests.
5. Once you have entered all the required information, click on the "Test connection" button to ensure that Airbyte can successfully connect to your ConfigCat account.
6. If the connection is successful, click on the "Create source" button to save your ConfigCat source configuration.
7. You can now use this source to extract data from your ConfigCat account and integrate it with other tools and platforms using Airbyte's powerful data integration capabilities.
1. Log in to your AWS account and navigate to the AWS Management Console.
2. Click on the S3 service and create a new bucket where you will store your data.
3. Create an IAM user with the necessary permissions to access the S3 bucket. Make sure to save the access key and secret key.
4. Open Airbyte and navigate to the Destinations tab.
5. Select the AWS Datalake destination connector and click on "Create new connection".
6. Enter a name for your connection and paste the access key and secret key you saved earlier.
7. Enter the name of the S3 bucket you created in step 2 and select the region where it is located.
8. Choose the format in which you want your data to be stored in the S3 bucket (e.g. CSV, JSON, Parquet).
9. Configure any additional settings, such as compression or encryption, if necessary.
10. Test the connection to make sure it is working properly.
11. Save the connection and start syncing your data to the AWS Datalake.
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
ConfigCat's API provides access to various types of data related to feature flags and configuration management. The following are the categories of data that can be accessed through the API:
- Feature flags: The API provides access to all the feature flags created in ConfigCat, including their name, description, and status (enabled or disabled).
- Configurations: The API allows access to the configurations associated with each feature flag, including their values and data types.
- Environments: The API provides access to the environments created in ConfigCat, including their name and description.
- User targeting: The API allows access to the user targeting rules associated with each feature flag, including their conditions and percentage rollout.
- Analytics: The API provides access to the analytics data related to feature flags, including the number of evaluations, impressions, and conversions.
- Integrations: The API allows access to the integrations configured in ConfigCat, including their name and status.
Overall, ConfigCat's API provides a comprehensive set of data related to feature flags and configuration management, enabling developers to easily manage and monitor their feature flags and configurations.