Events

With today’s release, you can now create a range of metrics from a single event, providing a deeper analysis of the results of your experiments. These additional insights into knowing how people are using your application is vital to shaping your product development priorities. For example, if you wanted to…

In October of 2018, Split hosted its first-ever conference, DECISIONS. 15 speakers, 330+ attendees, and five sponsors, all gathered in San Francisco to focus on one the key theme: “What matters is not the speed of delivering releases, but the speed of delivering value.” – Adil Aijaz, CEO, Split Software…

We built Split’s feature experimentation platform with this fundamental assumption: the data you capture to measure and understand your customer experience is collected across many touch points, and any tool you use to release feature flags and measure impact must be able to capture data from all of them.

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.

Chances are if you’re an engineer or product manager who works on anything even somewhat related to continuous delivery, Jez Humble wrote your handbook. Literally. This co-author of the Jolt award-winning Continuous Delivery also made hefty contributions to both Lean Enterprise and The DevOps Handbook. And if his list of…

Today, Split announced DECISIONS, the first industry conference focused on insights-driven product development. DECISIONS is the only event that brings engineers, product managers, data scientists, and thought leaders together in a single forum, to explore how teams are making insights-driven decisions to build software and deliver exceptional product experiences.

We demoed our new feature experimentation platform at the event, and the response was overwhelming. Engineering leaders saw the value of controlling the blast radius of a new feature, by only exposing it to beta customers or even doing a percentage-based roll-out to users that match specific attributes.

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.

Last week, we hosted Grier Johnson, a Platform Engineer at Square and formerly LinkedIn and Yahoo!, for a Tech Talk on Metrics and Monitoring Infrastructure. Grier brings a lot of experience and care to this topic. I will highlight a key theme in his talk that is applicable to every…