Operations | Monitoring | ITSM | DevOps | Cloud

The Anti-Zombie, Battle-Tested Guide To AI FinOps: 10 Insights

When CloudZero’s CTO Erik Peterson joined the FinOps Weekly podcast in October 2025, he didn’t hold back. Instead of going on about the usual best practices of AI cost optimization, he posed challenges to how we approach AI spending. From “zombie AI experiments” eating your budget to why you should stop apologizing for using AI, these 10 insights from the podcast are worth considering in how we approach AI FinOps. (Watch the full podcast below and keep reading for more!)

Building LLM agents to validate LangGraph tool use and structured API responses

Transitioning LLM agents from intriguing prototypes to reliable, production-grade solutions introduces a unique and significant challenge: the inherent stochasticity of LLMs. Unlike conventional software, where inputs predictably yield precise outputs, an LLM’s response can exhibit variability even when presented with identical prompts. To ensure the dependability of your LLM agent, you will need a rigorous validation strategy.

Industry Reports Agree: DevOps is the Key to Unlocking AI's Potential

Recent industry research shows that AI is accelerating code creation, but having mixed results downstream. They also show that better platforms and pipelines yield better outcomes for teams adopting AI for coding. Every engineering leader I talk to is asking the same questions about AI coding assistants: How much faster can we ship? How much more productive can my developers be? On the surface, the answers look pretty good.

Break production less with AI code review

Prod is down, the errors feed is on fire, and your code is to blame. You’ve got the info you need to debug, but it would’ve been nice to have before you shipped this mess. In this workshop, we’ll do a complete walkthrough of Sentry’s new AI code review features. This workshop will cover: How Sentry predicts errors to save you from shipping high-impact bugs Using Ai-powered PR review instead of making your teammates search for every typo Getting AI-generated unit tests that cover your changes and catch potential issues.

Introducing Magellan: The AI data engine that builds your IDP

Building a catalog used to be a project. It meant months of tracking down owners, untangling dependencies, and manually piecing together a picture of your architecture. It was a tedious, thankless process that delayed the value of your Internal Developer Portal (IDP) before you even got started. Now, it’s a coffee break. We’re excited to introduce Magellan, our new AI-powered data engine designed to build your catalog and get your IDP live in minutes.

A new era for your developer portal: The Cortex MCP is now generally available

Here's a scenario every on-call engineer knows too well: a critical incident fires for a service you’ve never seen before. Your first ten minutes are a frantic scramble across wikis and Slack channels just to answer the most basic questions: Who owns this? What does it do? Where are the runbooks? By the time you’re oriented, the incident has escalated.