Monitoring

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…

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…

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…

Anomaly detection in application monitoring systems (APM) is the gold standard. The idea is that if your APM can tell you when something is wrong, you can multiply the effectiveness of your site reliability team. Unnecessary alerts are never thrown and humans are not stuck watching dashboards.