Flagging your new app features with more visibility

In an effort to stop "feature creeping" from new features inside mobile apps and software, Rollout.io has released the preview of Rollout Visibility - a major addition to Rollout.io platform which aims to give organizations real time access to the status of feature deployment to allow smarter business and technical decisions during releases.

Feature delivery is no longer tied to distinct software versions. Instead, software developers release new features continuously. However, this complexity can create challenges when multiple stakeholders are involved.

Erez Rusovsky, CEO, and co-founder of Rollout.io had this to say: “We’ve heard countless stories from organizational leaders that features they believed were released to a certain user group, in fact, were not. The ability to gradually release features and roll them back if they don’t perform as expected, is critical to true agile deployment.”

Rusovsky continued, “Most customers start with one or two feature flags which quickly grows to tens or hundreds. Then, add-in the subset of users a feature is deployed to, and you end up with hundreds of permutations of production deployments. With Rollout Visibility, we’ve taken our already powerful feature delivery platform and added a real-time dashboard so that engineers, developers and product managers never have to wonder if a feature is truly rolled out, or if it is just a phantom feature caught in limbo.”

Rollout has helped organizations speed up application delivery and reliably push, test, and modify new features without the risk of deploying new code. The platform has helped some of the world’s iconic brands enable delivery of features to specific users at a granular level while letting them test and measure feature impact to make smarter business and technical decisions; and modify the values of application constants and variables on the fly, remotely, in highly configurable ways.

Now, Rollout Visibility provides customers with complete visibility, flexibility, and agility to monitor all aspects of feature deployments and ensure its operation meets KPIs. The result is “organic feature delivery” - features behaving like dynamic organisms that evolve independently and provide improved agility.