Compare the Top Feature Management Software that integrates with Kubernetes as of November 2024

This a list of Feature Management software that integrates with Kubernetes. Use the filters on the left to add additional filters for products that have integrations with Kubernetes. View the products that work with Kubernetes in the table below.

What is Feature Management Software for Kubernetes?

Feature management tools enable product and development teams to quickly manage new features using feature flags, A/B testing, toggles, and more to streamline the feature release process. Compare and read user reviews of the best Feature Management software for Kubernetes currently available using the table below. This list is updated regularly.

  • 1
    Flagsmith

    Flagsmith

    Flagsmith

    Flagsmith is a fully supported open source Feature Flag, Remote Config, and A/B testing service. Use our hosted API, deploy to your own private cloud, or run on-premise. Flagsmith makes it easy to create and manage features flags across web, mobile, and server side applications. Just wrap a section of code with a flag, and then use Flagsmith to toggle that feature on or off for different environments, users or user segments. Feature flags - Release features with confidence through phased rollouts. Remote config - Easily toggle individual features on and off, and make changes without deploying new code. A/B and Multivariate Testing - Use segments to run A/B and multivariate tests on new features. With segments, you can also introduce beta programs to get early user feedback. Organization Management - Organizations, projects, and roles for team members help keep your deployment organized. Integrations - Easily enhance Flagsmith with your favourite tools.
  • 2
    Harness

    Harness

    Harness

    Use each module independently with your existing tooling or use them together to build a powerful unified pipeline spanning CI, CD, STO, SRM and Feature Flags with metadata enhancing cloud cost management. AI/ML are at the heart of every Harness module. Our algorithms verify deployments, identify test optimization opportunities, make cloud cost optimization recommendations, restore state on rollback, assist with complex deployment patterns, detect cloud cost anomalies, and trigger a bunch of other activities. After a deployment, sitting around staring at logs and dashboards sucks. Harness analyzes the logs, metrics, and traces from your observability solution and automatically determines the health of every deployment. When a bad deployment is detected, Harness can automatically rollback to the last good version.
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