Best Chaos Engineering Tools for Jira

Find and compare the best Chaos Engineering tools for Jira in 2025

Use the comparison tool below to compare the top Chaos Engineering tools for Jira on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    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.
  • 2
    Qyrus Reviews
    Employ web, mobile, API, and component testing to ensure smooth digital experiences for users. With our platform, you can confidently test your web applications, providing the reliability needed for optimal speed, enhanced efficiency, and reduced costs. Take advantage of the Qyrus web recorder, which operates within a low-code, no-code framework, enabling quicker test creation and shorter time to market. Enhance your script coverage through advanced test-building functionalities, such as data parameterization and the use of global variables. Utilize the scheduled runs feature to execute thorough test suites effortlessly. Incorporate AI-driven script repair to address issues of flakiness and brittleness that arise from changes in UI elements, thereby maintaining the functionality of your application throughout its development life cycle. Centralize your test data management with Qyrus’ Test Data Management (TDM) system, streamlining the process and removing the hassle of importing data from various sources. Additionally, users can generate synthetic data within the TDM system, facilitating its use during runtime and ensuring a smoother testing experience. This comprehensive approach not only enhances user satisfaction but also accelerates the overall development process.
  • Previous
  • You're on page 1
  • Next