Best Chaos Engineering Tools for Microsoft Azure

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

Your digital business services must be reliable and can only be provided by digital immunity against software and infrastructure failures. ChaosNative Litmus makes it easy to introduce chaos culture into your DevOps and takes control of your business' service reliability. ChaosNative Litmus is a robust LitmusChaos chaos engineering platform that Enterprises can use. The product provides enterprise support as well as chaos experiments for virtual environments, popular cloud infrastructure, and services. ChaosNative Litmus can be integrated into your DevOps tools. LitmusChaos is the core of ChaosNative Litmus. All the power of open source Litmus can be carried into the open core ChaosNative Litmus. ChaosNative Litmus works the same way as open source Litmus.

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.

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.