Find faulty features before your customers do One of the most common reasons, our customers tell us, for moving towards feature flags is risk mitigation: the need to make sure releases don’t cause errors for users. Given how frequently organizations are now deploying features, the ability to limit the blast…
As adoption of feature flags has spread, product teams have learned to release new features incrementally, exposing new functionality slowly to the user base with a careful eye towards ensuring the right customer experience. Feature flags have made automating the process of measuring product metrics much easier.
Today, we are happy to announce that the Split API now spans the full surface area of Split product functionality, including full management of feature flags (i.e. “Splits”). Via the Split API, you can now write code to programmatically create, modify, kill, or delete a Split. Or, go even deeper,…
Building products and creating new features are a team sport. Split promotes collaboration through a wide set of integrations. With corporate chat rooms becoming a mainstay in more and more organizations, integrating with industry leading collaboration tools like Hipchat and Slack was a no brainer for us. We released the Split…
Our new integration with Rollbar brings Split event data into the error monitoring environment, so teams can investigate incidents faster and take action the moment things go wrong.
Our new JIRA Software integration: create, update and view issues—directly from your rollout event stream
Our current JIRA Software integration lets customers bring event data from Split into JIRA Software, updating existing issues with Split changes and rollout activity into the JIRA Software issue comment stream. We’ve taken our existing integration even further with a massive update.
Segment provides a powerful way to collect all customer data with one API, information that can then be sent on to your other applications and services like your CRM, helpdesk, or business intelligence platform. It’s a lingua franca of data, letting customers collect everything from their app but analyze in the interface or tool of their choice.
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