Best Chaos Engineering Tools with a Free Trial of 2024

Each module can be used independently or together to create a powerful unified pipeline that spans CI, CD and Feature Flags. Every Harness module is powered by AI/ML. {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.|Our algorithms are responsible for verifying deployments, identifying test optimization opportunities, making cloud cost optimization recommendations and restoring state on rollback. They also assist with complex deployment patterns, detecting cloud cost anomalies, as well as triggering a variety of other activities.} It is not fun to sit and stare at dashboards and logs after a deployment. Let us do all the boring work. {Harness analyzes the logs, metrics, and traces from your observability solution and automatically determines the health of every deployment.|Harness analyzes logs, metrics, traces, and other data from your observability system and determines the health and condition of each deployment.} {When a bad deployment is detected, Harness can automatically rollback to the last good version.|Ha

By deliberately introducing faults to simulate real-world outages, chaos engineering and testing can improve application resilience. Azure Chaos Studio is an experimentation platform that allows you to quickly find problems in late-stage development and production. Disrupt your apps deliberately to identify gaps and plan mitigations, before your customers experience a problem. To better understand application resilience, subject your Azure apps in a controlled way to faults that are real or simulated. With chaos engineering and testing, you can observe how your apps respond to real-world disruptions, such as network latency or an unexpected storage failure, expiring secrets or even a complete data center outage. Validate product quality where and when it makes sense for your company. Use a hypothesis-based method to improve application resilience by integrating chaos into your CI/CD pipeline.

Our experiment editor makes it easier to reach reliability. You have complete control over your experiments. All are designed to help you achieve goals and safely implement chaos engineering in your organization. Steadybit extensions allow you to add new targets, checks, and attacks. The targets are easily selected using a unique discovery and selection procedure. Export and import experiments in JSON or YAML to reduce friction between teams. Steadybit’s landscape allows you to see the dependencies and relationships of your software. This is a great way to start your chaos engineering journey. Divide your system(s), using the powerful query language based on the information you use elsewhere, into different environments. Assigning environments to specific teams and users to prevent unwanted damage.

Test web, mobile, APIs, and components to ensure seamless digital user experiences. Test your web applications in confidence. Our platform provides you with the assurance you need for speed, efficiency, cost reduction, and more. Use the Qyrus Web Recorder in a platform that already has low code and no-code to build tests faster. Test-building features such as data parameterization and variables global can be used to maximize coverage across scripts. Scheduled runs allow you to run comprehensive test suites while on the move. AI-driven script repairs can be used to combat flakiness, brittleness and element shifts due to UI changes and UI changes. This will ensure that the application is functional throughout the entire development lifecycle. Qyrus Test Data Management (TDM) allows you to manage all your test data in a single place, removing the need for tedious data imports from external sources. Users can generate synthetic data in the Test Data Management System for use during runtime.

Validate your app's performance and quality with real-world traffic scenarios. Preview code performance to quickly identify problems and ensure your app is running optimally when the time comes to release. To better prepare for production, mimic real-life scenarios, simulate load, and create intelligent simulators of third-party or internal backend systems. You don't need to create expensive new environments every time you test. Cloud costs are further reduced by the autoscaling feature. You can ship more code faster by avoiding complex frameworks, manual test scripts, and homegrown frameworks. You can be confident that your new code changes will handle high traffic scenarios. Protect the customer experience, prevent major outages and meet SLAs. Simulate internal and third-party backends to ensure more reliable and affordable testing. No need to create expensive, end-toend environments that can take days to deploy. Migrate seamlessly off legacy architecture without affecting the customer experience.

Maintain customer trust by overcoming downtime. NetHavoc is able to change performance engineering and quality delivery on a large scale. Deal with uncertainty in real-time before it becomes a problem. NetHavoc deliberately breaks the application infrastructure to create chaos within a controlled environment. Chaos engineering is a strategy that aims to observe how an application behaves when it fails and make it more powerful. Early investigation is the key to ensuring application infrastructure is resilient during production. Discover the vulnerability of an application. Expose hidden dangers and reduce uncertainties. Prevent malfunctions that could affect user-facing issues. Consume CPU cores, or utilization. Validate real-time usage cases by injecting different types of havoc n times on the Infrastructure layer. Interject havocs seamlessly using the API and an agentless approach. You can specify a specific time for havocs or a random range of time.