Konveyor
Konveyor is an open-source project for developers and platform teams assessing and modernizing legacy applications for Kubernetes and cloud-native technologi…
What Konveyor is
Konveyor is an open-source project for developers and platform teams assessing and modernizing legacy applications for Kubernetes and cloud-native technologies. Konveyor Hub offers a web console for organizing an application landscape, analyzing applications, and managing migration plans. Its Kantra command-line tool performs static analysis on Go, .Net, Node.js, and Java applications and can generate Kubernetes assets. Assessments use questionnaires to evaluate modernization suitability and risks, while code analysis checks source code or binaries and dependencies against predefined or custom rules, reporting issues and estimated effort. Konveyor documents retrieving applications from Git and Subversion repositories and Maven binary repositories. Its roles distinguish Administrator, Architect, and Migrator permissions. Konveyor AI uses static-analysis context to generate resolutions and can apply LLM-driven changes to Java code; users can configure different LLM providers. The project supports self-hosted deployment on Kubernetes, including Minikube, and includes a Visual Studio Code extension. AI setup requires Java 17 or later, Maven 3.9.9 or later, Git, an LLM API key, and a 5 Gi RWO persistent volume for the Solution Server database.
Good
- Open-source and self-hosted
- Assesses suitability and migration risks
- Analyzes several programming languages
- Supports custom analysis rules
- AI can suggest Java code resolutions
Watch out
- AI setup requires an LLM API key
- Solution Server requires a 5 Gi RWO volume
- AI setup requires Java 17 or later
Who it suits
Konveyor suits developers and platform teams planning or carrying out application modernization for Kubernetes and cloud-native environments. It is aimed at teams comfortable with self-hosted Kubernetes deployment and the listed AI prerequisites.
Verdict
Konveyor combines application assessment, code analysis, and migration planning with tools for transforming applications. Its self-hosted deployment and AI prerequisites are important considerations for teams evaluating it.
The facts
Each one read from Konveyor's own pages, with the date it was checked.
What it does
- Access controls
- The documentation describes Administrator, Architect, and Migrator personas with differentiated permissions.checked 9 Oct 2026
- AI code assistance
- Konveyor AI uses retrieval augmented generation with static analysis context to generate code resolutions for detected issues.checked 9 Oct 2026
- AI code fixes
- Konveyor AI applies LLM-driven code changes to resolve issues found through static analysis of Java applications.checked 9 Oct 2026
- AI prerequisites
- The AI setup guide lists Java 17 or later, Maven 3.9.9 or later, Git, and an LLM API key as prerequisites.checked 9 Oct 2026
- AI rules
- The documentation says Konveyor provides more than 2,400 analysis rules for Java technologies and allows custom rules for frameworks or technologies.checked 9 Oct 2026
- AI storage requirement
- Enabling the Konveyor AI Solution Server requires a 5 Gi RWO persistent volume for its database.checked 9 Oct 2026
- Analysis rules
- Konveyor provides more than 2,400 analysis rules for Java technologies, and users can create custom rules.checked 9 Oct 2026
- CLI
- Kantra performs static code analysis for Go, .Net, Node.js, and Java and can generate Kubernetes assets.checked 9 Oct 2026
- Code analysis
- The analysis module examines application source code or binaries and dependencies against predefined or custom rules, then reports issues and effort estimates.checked 9 Oct 2026
- Community support
- The project directs users to community mailing lists and Kubernetes Slack channels for general and developer questions.checked 9 Oct 2026
- Credential handling
- Konveyor documents a secure store for source control, Maven settings, and proxy credentials, managed by Administrators and assigned by Architects to applications.checked 9 Oct 2026
- Deployment
- Konveyor can be installed with its Operator on Kubernetes distributions including Minikube, and the installation instructions describe accessing a web console.checked 9 Oct 2026
- Editor
- Konveyor AI is available as a Visual Studio Code extension.checked 9 Oct 2026
- Hub
- Konveyor Hub provides a web console to view, categorize, and analyze an application landscape and manage migration plans.checked 9 Oct 2026
- LLM integrations
- Konveyor AI supports configurable LLM providers, with documentation examples for OpenAI, Azure OpenAI, Amazon Bedrock, Google Gemini, Ollama, and OpenShift AI.checked 9 Oct 2026
- Privacy limitation
- Konveyor's privacy statement says information disclosed in its public forums becomes public information.checked 9 Oct 2026
- Project affiliation
- Konveyor is a Cloud Native Computing Foundation sandbox project.checked 9 Oct 2026
- Purpose
- Konveyor is an open-source project that helps developers and platform teams analyze and transform legacy applications for Kubernetes and cloud-native technologies.checked 9 Oct 2026
- Repository integrations
- Konveyor documents integrations with Git and Subversion source repositories and Maven binary repositories for retrieving applications for analysis.checked 9 Oct 2026
- Security
- Konveyor's privacy statement says its website uses SSL to encrypt personal information sent through its Gerrit website.checked 9 Oct 2026
- Solution Server storage
- Enabling the Solution Server requires a 5Gi RWO persistent volume for its database.checked 9 Oct 2026
- What it does
- Konveyor is an open-source project that gives developers and platform teams visibility, analysis, and transformation tools to modernize legacy applications for Kubernetes and cloud-native technologies.checked 9 Oct 2026
Where it runs
- Application assessment
- Its questionnaire-based assessment evaluates application modernization suitability and risks, with reports that can inform an adoption plan.checked 9 Oct 2026
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