- Multiple Event Property Capture
You can now use up to 20 event properties as filters within a metric definition, to gain even more insights from your users. These event properties will be combined with AND.
- Querying Impression Data
You can now perform advanced queries in our Live Impressions tab so you can easily find the data you care about, faster.
- Alert policies
With alert policies, you can respond quickly to performance degradations for each environment you operate in. You can configure a specific degradation threshold and customize who should be notified if your metric degrades. Split will detect a degradation in metrics in the first 30 minutes of a new version of a split.
- Sentry integration
When configured, Split will ingest error and exception metrics from Sentry and ties these to the feature a user is exposed to. Split will display Sentry exception data in the Split platform for analysis. You can control what environments and traffic types you capture exceptions for in Split’s dashboard without code.
- Real User Monitoring (RUM) Agent
Track data such as Time to First Byte, Time to DOM Interactive, Page Load Time, Time to Interactive, Errors – key indicators of user experience. In addition, the agent collects key properties like connection type, url and userAgent to give you a full picture of the user using your feature.
- Event Property Capture
With this new release, you can now use event properties as filters to create more granular metrics and gain insights from a subset of users in your sample. Properties provide additional context around the events your customers generate. Event properties are attributes of a particular event and reflect the state and additional metadata at which the event was generated.
- Jira Integration Authentication Update
Atlassian has recently updated their security requirements to enforce usage of API Tokens on all integrations. This release changes our authentication method on our Jira integration to now support API tokens instead of passwords.
- Dynamic Configurations
Split now makes it easier to configure your experiments with key-value pairs and JSON definitions. With Dynamic Configurations, you can change the parameters of a split to adjust a feature experiment on the fly without having to edit your code.