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Deploying Qodana on Kubernetes: More Scalability, More Control

Qodana Kubernetes

As engineering teams scale, so do the demands on their tooling. Code quality checks that worked well for one repository or service often need a more resilient, automated, and infrastructure-native setup when development ecosystems grow.

That’s exactly why we’re excited to introduce first-class Kubernetes support for Qodana, bringing fully automated deployments, lifecycle management, and future-ready architecture to teams running modern cloud-native stacks.

View Kubernetes Deployment Docs

Why Kubernetes? And, why now?

Many organizations already rely on Kubernetes for managing their production workloads, internal developer platforms, or CI/CD infrastructure. This helps to:

  • Run code-quality analysis at scale
  • Ensure predictable, repeatable deployments
  • Automate updates, configuration, and recovery
  • Integrate better with existing platform engineering workflows

To make this possible, we’re introducing the Helm Chart for Qodana, a Kubernetes-native way to deploy, manage, and scale Qodana Self-Hosted.

What this means for Qodana users

If you’re already running Qodana Self-Hosted, Kubernetes support brings immediate benefits:

  • More stability through automated reconciliation
  • Faster onboarding for new environments
  • More secure operations and standardized configuration
  • Better integration with internal tooling and GitOps workflows
  • More predictable scaling for large repositories and heavy CI workloads

What’s next?

Kubernetes support is only the beginning. We are working on a Kubernetes Operator to make deployment and lifecycle management easier.

If you’re interested in Kubernetes-native code quality at scale, or if you’re exploring dedicated managed environments, we’d love to talk.

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