Gremlin
Everything you need to safely, securely, and simply build reliable software through Chaos Engineering. Use Gremlin's comprehensive set of failure modes to experiment across your system, including bare metal, any cloud provider, containerized environments, kubernetes, applications, and serverless. Throttle CPU, Memory, I/O, and Disk. Reboot hosts, kill processes, travel in time. Introduce latency, blackhole traffic, lose packets, fail DNS. Test for failure in your code. Fail or delay serverless functions. Narrow the impact to a single user, device, or percentage of traffic.
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Speedscale
Validate the performance and quality of your apps with real-world traffic scenarios. Preview code performance, quickly spot problems, and rest assured your app runs optimally when it’s time to release. Mimic real-life scenarios, test load, and create intelligent simulations of third-party and internal backend systems to better prepare for production. No need to spin up costly new environments each time you test. Built-in autoscaling drives your cloud costs down even further. Bypass complex, homegrown frameworks and manual test scripts so you can ship more code, faster. Be confident that new code changes can handle high-traffic scenarios. Prevent major outages, meet SLAs, and protect the customer experience. Simulate third-party systems and internal backends for more reliable, affordable testing. No need to spin up costly, end-to-end environments that take days to deploy. Seamlessly migrate off legacy architecture without disrupting the customer experience.
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ChaosIQ
Define, manage and verify your system’s reliability objectives (SLOs) and corresponding measurements (SLIs). See in one place what reliable work is being conducted and what you need to do. Verify the impact on your system’s reliability by exploring how your system, people and practices anticipate and respond to difficult conditions. Structure your Reliability Toolkit to reflect how you work using the familiar structure of teams and organizations. Build, import, execute and learn from powerful chaos engineering experiments and tests based on the free and open-source Chaos Toolkit. Track the impact of your reliability work overtime against important metrics such as MTTR and MTTD. Surface weaknesses in your systems before they turn into a crisis using chaos engineering. Explore how your system responds to common failures. Build powerful and custom experiment scenarios so you can see for real how your investment in reliability is paying off.
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NetHavoc
Overcome downtime to maintain customer trust. NetHavoc can change performance engineering and qualitative delivery on a massive scale. Deal with uncertainty before it causes obstacles in real-time. NetHavoc breaks the application infrastructure on purpose to create chaos in a controlled environment. Chaos engineering defines a strategy to witness how an application behaves with failures and make it more potent. The objective is to ensure application infrastructure is resilient in production with the early investigation. Discover the vulnerability of the application. Expose hidden threats and lessen uncertainties. Prevent breakdown influencing user-facing problems. Consume CPU cores or utilization. Validate real-time use cases by injecting various types of havoc, n number of times on the Infrastructure layer. Seamlessly interject havocs using the API and agentless approach. Specify either a specific time or define a random time range for applying havocs.
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