Operant is bringing Machine Learning to Microservices, empowering teams to optimize system behavior at scale like never before. We are combining expertise in Kubernetes, Reinforcement Learning, and DevOps to address the challenges of modern stack management in a fundamentally different way. Rather than drowning in the flood of data produced by K8s, Operant's ML-engine makes it useful, providing real-time automatic visualizations of system dependencies, interactive modules for drilling into malfunctioning components, ML-powered alert tuning to help teams focus only on the alerts that matter, and reinforcement learning models to prevent future outages.

San Francisco, CA, USA

Operant

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