Gain visibility across all your features and drive business forward.
Automated Data Export
Open the data firehose and connect our real-time stream of raw analytics to Amazon Kinesis or Google Cloud PubSub, with many additional destinations coming soon including Segment and mParticle. This powerful integration gives development and data science teams the ability to drive user event data captured by LaunchDarkly into any data warehouse including Amazon Redshift and Google BigQuery. Extract your event data from LaunchDarkly to help power your predictive analytics and AI programs or blend the raw event data with other data sources to analyze a feature's effect on metrics like conversion, revenue and application performance.
Feature Events - Gather all the evaluation data on a single feature flag including the users impacted, their evaluation date and the flag result.
Summary Events - Capture a total count for all feature evaluations and their results over a certain timeframe.
Custom Events - Setup and capture custom event data by defining an explicit custom call to the SDK.
Gather insights on how your application and team members are currently using LaunchDarkly so you can plan for the future and make improvements to your feature management processes. Visualize and review trends on the number of client connections, client-side MAUs, experiments and data exports used over a given time period.
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