Effective Utilization of AI in Observability

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The key to leveraging AI in observability is not to focus on discarding data but rather on understanding what data to prioritize for analysis. Rather than using AI to determine what data to throw away, the best approach is to utilize AI to identify areas to focus on, potential root causes, and consider possible actions. Combining a semantic model of application, infrastructure, and network with AI, beyond just machine learning models like LLM, can enhance observability and lead to more insightful outcomes.

Kentik is a network observability platform that focuses on letting users easily ask questions and get answers about their network.

Avi Freedman is the CEO of Kentik and he joins the podcast to talk about the platform, his observability philosophy, the role of AI in observability, and much more.

Full Disclosure: This episode is sponsored by 10K Media (Kentik).

This episode is hosted by Lee Atchison. Lee Atchison is a software architect, author, and thought leader on cloud computing and application modernization. His best-selling book, Architecting for Scale (O’Reilly Media), is an essential resource for technical teams looking to maintain high availability and manage risk in their cloud environments.

Lee is the host of his podcast, Modern Digital Business, an engaging and informative podcast produced for people looking to build and grow their digital business with the help of modern applications and processes developed for today’s fast-moving business environment. Listen at mdb.fm. Follow Lee at softwarearchitectureinsights.com, and see all his content at leeatchison.com.

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