Operations | Monitoring | ITSM | DevOps | Cloud

In Episode 3 of Elephant in the Room, we move from discussion to delivery with a hands-on, live build of a real, community-focused application. Join Jay Miller, Abigail Mesrenyame Dogbe and Andres Pineda as they collaboratively design and build a CFP (Call for Proposals) review platform using PostgreSQL and Django. The aim: create a practical tool that helps speakers receive better feedback and helps organisers discover new and diverse voices.

Get on the path to an autonomous network.

In this technical session, discover how Splunk Database Monitoring detects slow queries, speeds root cause analysis, and drives faster fixes with AI assistance. You will learn how to.

Apps create endless opportunities to leverage the strengths of the Splunk Cloud platform. Until now, you could only install Splunk apps across every search head on a Splunk Cloud Platform Victoria Experience deployment. With TAI you now have fine-grained control over which search head groups will run which apps.

You add the OpenTelemetry Java agent, restart your app - and like magic, observability appears. But is it really magic? What’s actually enabled by default? What telemetry should you expect to see? What’s missing? And what might you want to tweak, tune, or even turn off?

Great experiences feel effortless. That happens when IT resolves issues before anyone notices. No tickets. No noise. Just results. That’s Zero Ticket IT.

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.