Observability in the AI‑Native Era with Hilliary Lipsig and Rob Rati

About this episode

The episode discusses the transformation of observability in the AI-native era with insights from Hilliary Lipsig and Rob Rati.

As the software world is transforming from cloud native to AI-native, observability must transform with it. But how exactly? How do we apply this in an existing enterprise with established processes and practices? In this PurePerformance episode, Andi Grabner hosts Hilliary Lipsig and Rob Rati to discuss their new book, Observability in the AI‑Native Era . The conversation explores how AIOps, automation, and modern observability must evolve as systems become cloud‑native, data‑heavy, and AI‑driven. We talk about why old alerting and SLO models no longer scale, how to balance AI with automation and human judgment, and why trust, security, and compliance matter more than ever when machines start making operational decisions. A must‑listen for SREs, platform engineers, and engineering leaders navigating the AI‑native future. Links we discussed Book on Amazon: https://www.amazon.com/Observability-AI-Native-Era-Artificial-Intelligence-ebook/dp/B0GHZH1YFL Hilliary LinkedIn: https://www.linkedin.com/in/hilliary-lipsig-a5935245/ Rob LinkedIn: https://www.linkedin.com/in/roberthrati/ Andi LinkedIn: https://www.linkedin.com/in/grabnerandi/

People in this episode

Host: Andi Grabner

Guests: Hilliary Lipsig, Rob Rati

Topics covered

• observability
• AI-native
• AIOps
• automation
• cloud-native
• data-heavy
• operational decisions

Keywords

• observability
• AI-native
• AIOps
• automation
• cloud-native
• SLO models
• trust
• security
• compliance

Mentioned in this episode

Organizations: Amazon

Books & works: Observability in the AI‑Native Era

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