Why DIY Feature Flags Don't Measure Up
Featuring
About This Webinar
A study of 500 engineering leaders conducted by LeadDev.com found that the vast majority of organizations succeeding with feature management and experimentation have one thing in common: they can measure errors, performance, and business impact at the feature level. Those without that kind of measurement capability reported just a 1 in 6 record of success with their initiatives.
Did you know that even well-funded teams at large banks and telecommunication firms are shutting down their DIY feature flag platforms and replacing them with Split, by Harness? Why? In spite of all of their investments, they were still unable to measure the impact of changes being rolled out by feature flags in a reliable and efficient way.
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Host Mackenzie Putici Webinar Moderator Future B2B
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Featuring David Karow Sr. Manager, Product/Platform Marketing Harness
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Featuring David Martin Staff Solutions Engineer Harness
What You'll Learn
- Learn about Split's release monitoring capabilities, where alerts don't just point to symptoms but rather to the exact flag causing those symptoms.
- See how you can de-risk your transition to robust feature management and experimentation and speed your time to value by switching to feature flags that capture performance and error data right out of the box.
- Be ready to scale feature experimentation to any number of product and engineering teams without dedicated data science resources or extra work, using the same measurement-capable flags.