Intro to Split Video Library – Split Help Center

Feature flag Demo	4:51	Oct 2021
An overview demo of Split including many of the concepts introduced in the individual sessions listed below.

Feature flag 101 - Introduction	6:00	Oct 2021
An introduction to the Split platform and the benefits using Split brings to the Software Development process.

Feature flag 102 - Data and Architecture	4:55	Oct 2021
Split management console, how it interacts and sends rollout plans to your application, and how impressions and events are sent back to Split.

Building an On-Off Flag	4:02	Oct 2021
Often referred to as a dark launch, many flags are created simply to turn features on and off. This session walks through setting up the flag and shows how you can quickly turn a feature off, if necessary.

Building a Targeted Release	4:12	Oct 2021
There are a variety of reasons you may want to release to a targeted set of users. Canary releases, for example, allow you to validate whether a new deployment is safe before releasing it to all users. It's also useful to release to specific cohorts, such as beta users or entitled users.

Building a Ramped Release	3:49	Oct 2021
A common use of flags is to ramp up the number of users exposed to the feature over time. This limits the potential blast radius and allows you to progressively release features, either by percentage or by cohort, often called progressive delivery.

Building a Multi-Variant Release	8:57	Oct 2021
Split allows you to have a flag that manages many treatments for targeting specific experiences for a subset of users, or to test different variants.

Dynamic Configuration	3:44	Oct 2021
With Dynamic Configuration non-technical (or technical) users can modify the experience of a specific treatment without having to modify code in the application.

Dependent feature flag	3:24	Dec 2021
Split's dependency matcher allows you to have the evaluation of one or more feature flags dependent on the evaluation of another feature flag.

Data Hub	5:13	Oct 2021
The Data hub gives users the ability to troubleshoot their feature flags using Live tail, determine what treatment a particular user ID will get when they hit the feature flag, and export both impression and events.