Operations | Monitoring | ITSM | DevOps | Cloud

AI is changing how organizations operate, but one thing has not changed: critical services cannot fail. Whether it is financial markets, healthcare, or other mission critical environments, organizations need observability that delivers value quickly, not weeks or months later. In this clip with theCube, Virtana CEO Paul Appleby explains how Virtana combines high fidelity telemetry with AI-driven intelligence to discover dependencies, correlate relationships, and deliver actionable insights within hours.

See what’s new in the latest Skylar AI release as Vice President of Skylar AI Douglas "DJ" James walks through updates designed to deliver smarter insights, stronger connectivity, more trustworthy answers, and greater deployment flexibility. New features and updates include: Explore the latest Skylar AI capabilities and see how ScienceLogic continues to deliver smarter insights, greater flexibility, and trusted AI for modern IT operations.

The bucket is right there and the function still cannot read it. AURA reads the failure, names the one missing action, and returns the policy to add. A permissions failure gives you the symptom and not the action name. The usual path is reading the error, guessing which actions the execution role is short, and widening the policy until the call goes through. Greg hands AURA a Lambda function that fails when it tries to reach an S3 bucket. AURA identifies the missing ListBucket permission on that particular bucket and returns the minimum policy needed to allow it.

What happens when AI agents become direct users of your infrastructure? Michael Kutsch, Staff SRE and Team Lead for Cloud Foundations at PostHog, argues that the next internal developer platform may be a library of agent skills. Instead of forcing every task through a portal, his team is giving agents structured context, reusable workflows, and deterministic scripts they can call when reliability and governance matter.