Best Chaos Engineering Tools for Docker

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

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.

Chaos Engineering provides everything you need to quickly and easily build reliable software. Gremlin offers a comprehensive list of failure modes that you can use to test your system. This includes bare metal, cloud providers, containerized environments and kubernetes. Throttle CPU, Memory and I/O. Reboot hosts, kill processes, travel in the time. Introduce latency, blackhole traffic and lose packets to fail DNS. Your code should fail. Failing to perform serverless functions may cause delays. Limit the impact to one user, device, or percentage.

WireMock simulates HTTP-based APIs. It can be used as a virtual service or mock server. It allows you to remain productive even if an API you depend upon isn't available or incomplete. It allows you to test edge cases and failure modes that an API doesn't reliably produce. It's also fast, which can reduce your build time by a few minutes to hours. MockLab is a hosted API simulation built on WireMock. It features an intuitive web interface, team collaboration, and requires no installation. The 100% compatible API allows drop-in replacement of WireMock servers with just one line of code You can run WireMock within your Java application, JUnit Test, Servlet container, or as a standalone operation. A wide range of strategies can be used to match request URLs, methods and headers cookies. First-class support for JSON or XML. Capture traffic to and from an API and get up and running quickly