Topic: feature flags

SD Times news digest: Cohesity Agile Dev and Test, Split’s automated error detection for feature flags, and Neural Structured Learning in TensorFlow

Cohesity launched its Cohesity Agile Dev and Test solution to provide teams with a self-service provisioning model that gives them rapid access to backup data and control mechanisms to ensure data remains secure and in compliance. “Cohesity Agile Dev and Test is a logical extension and significant enhancement to our data management platform, not only … continue reading

The feature launch in 5 key phases: A DevOps cheat sheet

The process of launching a new feature has changed a lot over the last decade. Ten years ago, a feature launch was commonly tied to code release. This meant that when the release branch was merged into master and pushed to production, new features riding on that branch would be launched to customers.  RELATED CONTENT:  … continue reading

SD Times news digest: Optimizely Rollouts, Parasoft’s Jtest and dotTest, and DataStax announces cloud-native data platform

Digital experience optimization provider Optimizely has announced Optimizely Rollouts, a free tool that lets developers adopt feature flags. By using these feature flags, teams can “target key audiences, update features on the fly and easily roll back poorly performing features ensuring a better product and customer experience,” the company explained. Optimizely Rollouts includes unlimited feature … continue reading

Feature flags simplify feature development and testing for Dev teams and QA

Feature flags allow faster, safer feature delivery to users by decoupling code deployment from feature release. They provide a number of benefits to development and DevOps teams. These include: enabling A/B/n testing, showing different experiences to different users and allowing teams to see how those experiences affect user behavior, enabling Kill Switches that allow for … continue reading

Make better decisions about software at Decisions Replay

Wouldn’t it be great if developers actually could read minds, so that every iteration of their software would be exactly what users want? Well, even with AI, that’s not a world we live in right now. Instead, it’s trial and error, and experimentation that help organizations deliver the most value in their software. RELATED CONTENT: … continue reading

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