Unleash

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Discover new Unleash features, product updates, and best practices that help teams build, test, and release software with confidence and control.

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Automated FeatureOps just got real: Impact Metrics + MCP server

Teams are shipping more code than ever, and AI is amplifying that trend even further. Whether the change comes from a human or an AI assistant, the expectations stay the same: ship fast, keep things stable, and avoid surprises in production. We launched the Unleash MCP server last week, and now we’re rolling out Impact […]

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Starting an experimentation program: Best practices from Yousician

  This article explores how Yousician built a successful experimentation program, covering platform selection, analytics infrastructure, feature flagging practices, and maintaining the balance between optimization and innovation. Selecting your initial experimentation platform When starting an experimentation program, the temptation to build a custom solution can be strong, particularly for engineering-focused organizations. Yousician initially considered this […]

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Blue-green deployments vs. feature flags

Blue-green deployment has been around for years as a way to reduce deployment risk. The concept is simple: you run two identical production environments, blue and green. One environment serves live traffic while the other stays idle. When you’re ready to release, you deploy the new version to the inactive environment, verify it works, then […]

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What is the difference between GitOps and CI/CD?

CI/CD pipelines have become the backbone of modern software delivery. Developers push code, automated tests run, builds complete, and deployments happen. But as infrastructure becomes more complex and deployment environments multiply, CI/CD workflows show their limitations. GitOps emerged as a response to these challenges, particularly for teams managing Kubernetes and cloud-native infrastructure. The question developers […]

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Do I need an A/B testing platform?

While the answer isn’t universal, it hinges on several critical factors including your organization’s size, testing maturity, technical capabilities, and business goals.  Understanding when a platform becomes necessary versus when simpler solutions suffice can save both time and resources while ensuring you make data-driven decisions effectively. What A/B testing platforms actually do (beyond the obvious) […]