Network observability company Kentik has launched Kentik AI to give any engineer, operator, architect, or developer the ability to troubleshoot complex networks quickly and easily. The company is also launching a modern and AI-assisted Network Monitoring System (Kentik NMS) to enable teams to observe, manage, and optimize network health and performance via real-time monitoring and alerting.

Kentik has embedded Generative AI across its platform to democratize access to critical knowledge about complex systems. Through a natural language interface and guided troubleshooting workflows, Kentik now empowers teams to determine the root cause of customer-impacting issues much faster.

Kentik Query Assistant leverages a Large Language Model (LLM) infused with network context that enables users to ask questions about their network in natural language, and Kentik will use its full breadth of data to deliver an answer. This democratizes access to critical network insights that were typically available only to teams with deep network expertise.

Kentik Journeys provides users with an AI-assisted troubleshooting workflow to solve complex network problems. When troubleshooting, engineers ask a question, analyze the answer, then ask a new, better-informed question, drilling deeper into the issue. Kentik Journeys accelerates this process and expedites investigations with deep understanding of the user’s network.

Kentik NMS is the first AI-assisted network monitoring system. It modernizes network monitoring technology by unifying traffic flow data with real-time, custom, and streaming device metrics in one extensible SaaS platform, allowing engineers to easily correlate heterogenous telemetry from distributed infrastructure and rapidly problem-solve.