Gremlin Foresight AI identifies, fixes reliability concerns before they become incidents
Chaos engineering platform provider Gremlin today announced the general availability of Gremlin Foresight AI, which proved in beta that it can identify and address reliability risks before they become incidents.
“AI-driven development means shipping code at 10X velocity; it also means 10x the opportunity for bugs, risks, and failures,” Kolton Andrus, CEO and founder of Gremlin, said in the announcement. “While the rise of AI SRE tools are great for helping teams respond to incidents faster, it’s still cleanup after something breaks. Gremlin Foresight AI finds risks proactively, delivers the fix, and verifies the fix worked by rerunning the test. This provides teams with the assurances needed to move confidently.”
Gremlin Foresight AI rides atop the company’s Failure Atlas, which has collected data on how systems fail. “Every fix is validated against the test that surfaced the risk, closing the loop between identifying a weakness and proving it’s resolved,” the company wrote.
Among the key features are proactive risk detection, guided remediation, continuous validation and measurable resilience.
The Gremlin platform was created to allow organizations to plan and run experiments, control who gets them, and verify the fixes remain effective with the use of continuous automated testing. “Reliability scores make that progress measurable across the whole organization, giving every team a shared standard to work toward, as well as giving leaders the visibility to direct investment and hold teams accountable,” Gremlin wrote.
Gremlin Foresight AI is generally available starting today. To learn more or request a demo, visit gremlin.ai.
The post Gremlin Foresight AI identifies, fixes reliability concerns before they become incidents appeared first on SD Times.
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