In its State of Feature Management and Experimentation 2024 report, Split by Harness reveals that only 1 in 6 of those surveyed are successful with Feature Management and Experimentation without the ability to monitor system performance and user behavior at the feature level.
San Francisco — September 17, 2024 — Harness, the Modern Software Delivery Platform® company, and Split Software, a leading Feature Management and Experimentation provider recently acquired by Harness, today released groundbreaking insights in collaboration with LeadDev. The report, The State of Feature Management and Experimentation 2024, surveyed 500 engineering leaders and underscores the critical role feature management and experimentation tools play in helping software teams succeed within the maturing practice.
According to the survey, 83% of senior leaders prioritize feature management as a way to embed experimentation into their developer cultures. However, engineering teams are not succeeding without the right tools in place. Specifically, only 1 in 6 say they were successful without the ability to monitor system performance and user behavior at the feature level, an integral capability of robust feature management solutions like Split by Harness.
Other key insights from the survey include:
“The challenges of mitigating risk at enterprises with over 500 engineers are enormous, especially under pressure to innovate rapidly,” said Trevor Stuart, co-founder of Split Software. “Knowing the impact of every feature with proper release monitoring and minimizing the blast radius of potential failures is now more critical than ever.”
With feature flags and CI/CD capabilities becoming inseparable, Split Software’s integration within the Harness platform promises a unified solution for managing feature flags and CI/CD pipelines, streamlining operations for engineering teams.
For a deeper dive into these findings, read the full report.
About Harness
Harness is the leading end-to-end platform for complete software delivery. It provides a simple, safe, and secure way for engineering and DevOps teams to release applications into production. Harness uses AI and machine learning to monitor the quality of deployments and automatically roll back failed ones, saving time and reducing the need for custom scripting and manual oversight, giving engineers their nights and weekends back. Harness customers accelerate deployments by up to 75%, reduce infrastructure costs by up to 60%, and decrease lead time for changes by up to 90%. Harness is based in San Francisco.