Operations | Monitoring | ITSM | DevOps | Cloud

SREs are famously skeptical of AI — so how do you convince them to trust agents in production? In this episode of Grafana’s Big Tent, Tom Wilkie talks with Spiros Xanthos (Resolve AI), Manoj Acharya (Grafana Labs), and Cyril Tovena (Grafana Assistant team) about agent-first observability. They unpack knowledge graphs, LLM reasoning, autonomous debugging, pricing models, and the “Claude Code moment” for observability. Is autonomous production ops closer than we think?

In the February edition of the Kubernetes Monitoring Helm chart office hours, we discuss the version 3.8 release, the upcoming 4.0 release and features, and we discuss the upcoming deprecation of the 1.x and 2.0 versions.

Why are today’s AI data architectures broken? Giannis Polyzos and Hugh Evans unpack what’s failing.

See how you can ensure trust across the data life cycle in February’s episode of This Month in Datadog. Join us for a spotlight of Datadog Data Observability, which enables you to detect data quality and pipeline issues early, as well as remediate those issues with end-to-end lineage. Plus, we cover: Protecting agentic AI applications from real-time threats with Datadog AI Guard Staying up to date and reducing steps to collaborate with five new Incident Management releases Releasing software with confidence using Datadog Feature Flags.

Learn more: speedscale.com.