TL;DR
This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps:
- set up LaunchDarkly as a source connector (using Auth, or usually an API key)
- set up MongoDB as a destination connector
- define which data you want to transfer and how frequently
You can choose to self-host the pipeline using Airbyte Open Source or have it managed for you with Airbyte Cloud.
This tutorial’s purpose is to show you how.
What is LaunchDarkly
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.
What is MongoDB
MongoDB is a database that powers crucial applications and systems for global businesses. Designed for developers and specializing in the areas of open source, software development, and databases, it offers functionality such as horizontal scaling, automatic failover, and the capability to assign data to a location.
Prerequisites
- A LaunchDarkly account to transfer your customer data automatically from.
- A MongoDB account.
- An active Airbyte Cloud account, or you can also choose to use Airbyte Open Source locally. You can follow the instructions to set up Airbyte on your system using docker-compose.
Airbyte is an open-source data integration platform that consolidates and streamlines the process of extracting and loading data from multiple data sources to data warehouses. It offers pre-built connectors, including LaunchDarkly and MongoDB, for seamless data migration.
When using Airbyte to move data from LaunchDarkly to MongoDB, it extracts data from LaunchDarkly using the source connector, converts it into a format MongoDB can ingest using the provided schema, and then loads it into MongoDB via the destination connector. This allows businesses to leverage their LaunchDarkly data for advanced analytics and insights within MongoDB, simplifying the ETL process and saving significant time and resources.
Step 1: Set up LaunchDarkly as a source connector
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.
Step 2: Set up MongoDB as a destination connector
Step 3: Set up a connection to sync your LaunchDarkly data to MongoDB
Once you've successfully connected LaunchDarkly as a data source and MongoDB as a destination in Airbyte, you can set up a data pipeline between them with the following steps:
- Create a new connection: On the Airbyte dashboard, navigate to the 'Connections' tab and click the '+ New Connection' button.
- Choose your source: Select LaunchDarkly from the dropdown list of your configured sources.
- Select your destination: Choose MongoDB from the dropdown list of your configured destinations.
- Configure your sync: Define the frequency of your data syncs based on your business needs. Airbyte allows both manual and automatic scheduling for your data refreshes.
- Select the data to sync: Choose the specific LaunchDarkly objects you want to import data from towards MongoDB. You can sync all data or select specific tables and fields.
- Select the sync mode for your streams: Choose between full refreshes or incremental syncs (with deduplication if you want), and this for all streams or at the stream level. Incremental is only available for streams that have a primary cursor.
- Test your connection: Click the 'Test Connection' button to make sure that your setup works. If the connection test is successful, save your configuration.
- Start the sync: If the test passes, click 'Set Up Connection'. Airbyte will start moving data from LaunchDarkly to MongoDB according to your settings.
Remember, Airbyte keeps your data in sync at the frequency you determine, ensuring your MongoDB data warehouse is always up-to-date with your LaunchDarkly data.
Use Cases to transfer your LaunchDarkly data to MongoDB
Integrating data from LaunchDarkly to MongoDB provides several benefits. Here are a few use cases:
- Advanced Analytics: MongoDB’s powerful data processing capabilities enable you to perform complex queries and data analysis on your LaunchDarkly data, extracting insights that wouldn't be possible within LaunchDarkly alone.
- Data Consolidation: If you're using multiple other sources along with LaunchDarkly, syncing to MongoDB allows you to centralize your data for a holistic view of your operations, and to set up a change data capture process so you never have any discrepancies in your data again.
- Historical Data Analysis: LaunchDarkly has limits on historical data. Syncing data to MongoDB allows for long-term data retention and analysis of historical trends over time.
- Data Security and Compliance: MongoDB provides robust data security features. Syncing LaunchDarkly data to MongoDB ensures your data is secured and allows for advanced data governance and compliance management.
- Scalability: MongoDB can handle large volumes of data without affecting performance, providing an ideal solution for growing businesses with expanding LaunchDarkly data.
- Data Science and Machine Learning: By having LaunchDarkly data in MongoDB, you can apply machine learning models to your data for predictive analytics, customer segmentation, and more.
- Reporting and Visualization: While LaunchDarkly provides reporting tools, data visualization tools like Tableau, PowerBI, Looker (Google Data Studio) can connect to MongoDB, providing more advanced business intelligence options. If you have a LaunchDarkly table that needs to be converted to a MongoDB table, Airbyte can do that automatically.
Wrapping Up
To summarize, this tutorial has shown you how to:
- Configure a LaunchDarkly account as an Airbyte data source connector.
- Configure MongoDB as a data destination connector.
- Create an Airbyte data pipeline that will automatically be moving data directly from LaunchDarkly to MongoDB after you set a schedule
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!
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