This video is the second part of our three-part series following up on the webinar “See Into the Future with GenAI in Observability | Live Demo & Key Insights.”

In this part, Tomasz Janaszka, Solution Architect at CodiLime, explores the use case “Deliver Answers, Not Just Dashboards”, showing you how AI can move observability beyond static metrics and provide real insights and analysis that support faster problem resolution using natural language.

🔍 In this demo, you’ll see how AI can: 🔸 Investigate issues faster – from detecting a high-CPU alert to building combined CPU/RAM panels and spotting trends like a potential memory leak. 🔸 Predict and plan capacity – with automated resource-risk reports, server headroom checks, and forecasts showing when VMs will reach their limits. 🔸 Add network-layer context – by pulling interface status, running connectivity checks, and visualizing link traffic, all within a single chat history that doubles as documentation.

This video's demonstrations are use cases from our webinar, See Into the Future with GenAI in Observability.