Best Software Development Life Cycle (SDLC) Tools for Kubernetes

Find and compare the best Software Development Life Cycle (SDLC) tools for Kubernetes in 2025

Use the comparison tool below to compare the top Software Development Life Cycle (SDLC) tools for Kubernetes on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    SonarQube Server Reviews
    SonarQube Server serves as a self-hosted solution for ongoing code quality assessment, enabling development teams to detect and address bugs, vulnerabilities, and code issues in real time. It delivers automated static analysis across multiple programming languages, ensuring that the highest standards of quality and security are upheld throughout the software development process. Additionally, SonarQube Server integrates effortlessly with current CI/CD workflows, providing options for both on-premise and cloud deployments. Equipped with sophisticated reporting capabilities, it assists teams in managing technical debt, monitoring progress, and maintaining coding standards. This platform is particularly well-suited for organizations desiring comprehensive oversight of their code quality and security while maintaining high performance levels. Furthermore, SonarQube fosters a culture of continuous improvement within development teams, encouraging proactive measures to enhance code integrity over time.
  • 2
    Azure DevOps Reviews

    Azure DevOps

    Microsoft

    $6 per user per month
    1 Rating
    Azure DevOps is a powerful, end-to-end software development platform designed to help teams deliver value faster by providing agile planning, collaborative coding, automated testing, and continuous deployment capabilities. The platform includes Azure Boards for managing work items with customizable Kanban boards and backlogs, Azure Pipelines to automate builds and deployments across any language or cloud, and Azure Repos offering unlimited private Git repositories. Integration with GitHub Copilot further accelerates coding and testing by using AI to suggest and generate code snippets. Azure Test Plans enable manual and exploratory testing to ensure high-quality software releases. Security is deeply embedded across the platform with over 100 compliance certifications and dedicated security experts. Additionally, Azure DevOps supports managed DevOps agent pools to optimize cost and performance. Major enterprises worldwide rely on Azure DevOps to streamline workflows and scale development efforts. The platform is flexible, scalable, and built to support innovation while keeping development secure.
  • 3
    Codebeamer Reviews

    Codebeamer

    PTC

    $102 per user per month
    Codebeamer is a platform for Application Lifecycle Management, or ALM, that allows advanced product and software development. The open platform provides ALM functionality with product line configuration capabilities, and allows for unique configurability of complex processes. Empower product teams for industrial manufacturing and automotive engineering. Optimize the delivery and quality of complex automotive technology products. Codebeamer provides a complete solution for lifecycle management, including requirements, risks, and test management.
  • 4
    Codacy Reviews

    Codacy

    Codacy

    $15.00/month/user
    Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/
  • 5
    ActiveState Reviews
    ActiveState delivers Intelligent Remediation for vulnerability management, which enables DevSecOps teams to not only identify vulnerabilities in open source packages, but also to automatically prioritize, remediate, and deploy fixes into production without breaking changes, ensuring that applications are truly secured. We do this by helping you: - Understand your vulnerability blast radius so you can see every vulnerabilities’ true impact across your organization. This is driven by our proprietary catalog of 40M+ open source components that’s been built and tested for over 25 years. - Intelligently prioritize remediations so you can turn risks into action. We help teams move away from alert overload with AI-powered analysis that detects breaking changes, streamlines remediation workflows, and accelerates security processes. - Precisely remediate what matters - unlike other solutions, ActiveState doesn’t just suggest what you should do, we enable you to deploy fixed artifacts or document exceptions so you can truly drive down vulnerabilities and secure your software supply chain. The ActiveState platform centers on open source languages packaged as runtimes that can be deployed in various form factors. Low-to-no CVE container images are also available for plug-in and play needs.
  • 6
    Harness Reviews
    Harness is a comprehensive AI-native software delivery platform designed to modernize DevOps practices by automating continuous integration, continuous delivery, and GitOps workflows across multi-cloud and multi-service environments. It empowers engineering teams to build faster, deploy confidently, and manage infrastructure as code with automated error reduction and cost control. The platform integrates new capabilities like database DevOps, artifact registries, and on-demand cloud development environments to simplify complex operations. Harness also enhances software quality through AI-driven test automation, chaos engineering, and predictive incident response that minimize downtime. Feature management and experimentation tools allow controlled releases and data-driven decision-making. Security and compliance are strengthened with automated vulnerability scanning, runtime protection, and supply chain security. Harness offers deep insights into engineering productivity and cloud spend, helping teams optimize resources. With over 100 integrations and trusted by top companies, Harness unifies AI and DevOps to accelerate innovation and developer productivity.
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