Autonomously identify service issues with machine learning-powered anomaly detection.
“With Kong, we knew that we would get something that would work perfectly with our technology today and set us up for where we want to go with microservices.”
Senior Manager of Computing Platform, Yahoo! Japan
“As we evaluated API platforms, it was critical that the vendor we chose could simultaneously support our existing services in the public cloud with what we are building in Kubernetes. Kong offered us the ability to unify services across clouds, which gave us the flexibility to build new services iteratively and how we wanted without fear of cloud lock-in.”
VP of Engineering at SoulCycle
“We put Agile, DevOps and CI/CD at the heart of everything we do, and we realized that we needed new tooling to match the new ways we wanted to build products and services”
Sr Enterprise Architect, Cargill
Analyze traffic to create a baseline across your Kong Enterprise deployment through machine learning-fueled detection and analysis of service behavior.
Proactive Anomaly Identification
Autonomously analyze production traffic to identify anomalous service behavior. Tailor the severity of alerts to eliminate noise and customize notifications.
Receive real-time email and Slack alerts notifying users of anomalies that require attention. Customize by channel, workspace and service.
Interested in a demo?
Request a demo to talk to our experts to answer your questions and explore your needs.