Operations | Monitoring | ITSM | DevOps | Cloud

China’s AI and chip stocks have fallen sharply, raising a bigger question: could the same thing happen in the U.S.? With Microsoft, Alphabet, and Amazon reporting earnings, investors are looking for signs that cloud growth can justify the enormous sums being spent on AI. Is this a warning for the U.S. market, or can Big Tech’s AI investments deliver the growth investors expect?

While AI coding agents increase initial build speed, they often lack context about real-world user behavior, leading to downstream production bugs. Watch to learn how to move beyond basic agent-on-agent reviews and set up a true "Quality Factory" using: Check out our demos or get started free: speedscale.com.

Build a fully local AI coding agent on Ubuntu using Canonical Workshop and the Qwen3-Coder Inference Snap. In this step-by-step demo, you'll set up an isolated development environment, connect your coding agent to a locally hosted LLM, and run coding tasks without an internet connection. Follow along to recreate the setup on your own machine, using CPU or GPU inference. Chapters.

Paging people shouldn’t be the hard part of incident response. In this walkthrough, we tour the Rootly On-Call platform end to end and show how teams set up on-call that’s reliable, fair, and easy to manage. Whether you’re moving off another paging tool or setting up on-call for the first time, this video shows how Rootly brings on-call and incident response together in one place.

Discover how Ivanti Neurons AI turns IT and security data into actionable reports—just describe what you need in natural language. AI reporting takes the complexity out of report creation. With Ivanti Neurons AI built into the reporting experience, you can start with a suggested request or simply describe what you need in plain English. Neurons AI interprets your request and builds a tailored report draft with the relevant data, columns, filters, and aggregation—no manual query building required.

Join Jeetu Patel, Head of Product at Cisco, and Kamal Hathi, GM at Splunk, alongside a special guest, to see how organizations transform security, observability, and operations with AI workflows that are proven at scale. Discover how Splunk and Cisco bring unified visibility, trusted AI, and intelligent automation to help organizations.

The future of operations is predictive, unified, and AI-powered. Dive into how Splunk and Cisco help organizations unlock cross-domain insights at massive scale, provide intelligent context across security and observability, and build trust in AI with end-to-end visibility. Hear directly from product leaders on the latest innovations shaping agentic enterprises.

Here’s how CircleCI's Chunk sidecars helps Claude Code run targeted checks and fix issues earlier in the development loop, before changes reach CI.

You can still say no in IT without becoming the department everyone avoids. The person asking today might be key to winning a project two years from now. So the reflex shouldn’t be yes. It should be: here’s what’s on our plate, help me understand the ask. You still get to the no, but you keep the relationship, and you show up as a business partner, not tactical support. Watch the full IT Leadership Lab session — linked above.

Announced at ObservabilityCON 2026, Pages is a new feature that gives you custom, interactive visualizations. All you have to do is ask Assistant. Mat Ryer, Sr. Director of AI shares just one example.