Category • 48 Posts

Features

Thumbnail for Cache Your Feature Flags for Offline Functionality on Android
Features

Cache Your Feature Flags for Offline Functionality on Android

Local caching and offline functionality is a core part of the Android ecosystem, and now they’re available for your feature flags as well. With Split’s updated Android caching feature, you can cache feature flags and also take advantage of the automated cache updates that are native to the Android OS.…

Talia Nassi
Thumbnail for Bring Your Customer and Feature Data Together with mParticle and Split
Features

Bring Your Customer and Feature Data Together with mParticle and Split

Become more data-driven around feature releases by using impression data from Split in mParticle and mParticle event data to evaluate treatments in Split.

Sophie Harpur
Thumbnail for Build High-Performing Features With Google Analytics and Feature Flags
Features

Build High-Performing Features With Google Analytics and Feature Flags

Google Analytics is the most popular web performance tool out there. Nearly every web app uses it. And given the metrics that GA collects — sessions, pageviews, conversion rates, page load timing — it’s a logical dataset to pair with feature flags. So we’re excited to announce our latest, very…

Nico Zelaya
Thumbnail for Stay Compliant with Feature Flag Approval Flows
Features

Stay Compliant with Feature Flag Approval Flows

Feature flag approval flows make it easy to review changes before production, stay compliant with regulation, and see the status of every feature.

Kevin Li
Thumbnail for Using Audit Logs as a Source of Truth for Feature Rollouts
Features

Using Audit Logs as a Source of Truth for Feature Rollouts

Audit logs make it easy to stay compliant and find feature flag changes made by your team. We’ve now made it easy to diff, comment, and find your logs.

Kevin Li
Thumbnail for Extending Monitoring from Application Performance to Features
Features

Extending Monitoring from Application Performance to Features

APM tools are great at monitoring your app, but they struggle to find errors in features post-release. Feature Monitoring helps you find the root cause.

Lizzie Eardley
Thumbnail for How to Compare Trends in your Experiments
Features

How to Compare Trends in your Experiments

Use measures of impact, absolute value, and error margins to analyze whether an A/B test was a success.

Sophie Harpur
Thumbnail for Detect user experience degradations with our newly released RUM agent
Features

Detect user experience degradations with our newly released RUM agent

Split manages more than 50 billion feature flags changes around the world every day. A recent study shows that about 5 to 6% of feature flags are rolled-back (or killed, using Split terminology in reference to a kill switch) within 30 days of being created. This speaks to the importance…

Pato Echague
Thumbnail for Respond quickly to degradations in metrics with alert policies
Features

Respond quickly to degradations in metrics with alert policies

At Split we believe in the power of metrics, and are always striving to improve the ways we help our users make more data-driven product decisions. In this previous post we talked about the importance of understanding the impact of a new feature release via key and guardrail metrics. With…

Sophie Harpur

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