Operations | Monitoring | ITSM | DevOps | Cloud

Honeycomb AI Ecosystem shows you the performance and cost of every AI agent in one live view and drills straight to the conversation behind any number, so you can diagnose your whole fleet in minutes without switching tools or rebuilding a single query.

When the industry moves this fast, the only way to figure it out might be by doing it yourself.

See how Harness helps teams move from AI-generated code to production at machine speed. In this demo, Nick Durkin walks through a fully autonomous software delivery workflow inside Harness, showing how teams can review code, enforce policy, run security and LLM scanning, test intelligently, deploy agents, and use Change Advisor to automate approvals with human oversight when needed. You’ll see how Harness helps teams.

AI budgets are escalating rapidly, yet few teams measure the value of their spend – and who ends up paying, anyway? The Redgate Advocates discuss that, LLMs, data centers, regulation, what happens to the next generation of engineers if they never learn to solve problems the hard way – and more.

Updates are the easy part. Or are they? When thousands of connected devices are involved, organizations need to manage updates at scale, without disrupting critical operations. What to update, when to push it, and how to respond when things go wrong become key decisions.

How does data mesh architecture improve data management? In this episode of Quick Question, we cover the three core benefits — real-time visibility, control, and data quality — including how CISA uses Elastic to connect data from over 100 civilian agencies without moving it to a central location. The episode also covers how data sovereignty is preserved through role-based and attribute-based access controls, and why data quality improves when the teams closest to the data are the ones managing it.

With the plan mode you can get a preview what kind of panels you want to have in your dashboard that safe a lot of tokens, efforts and computing resources when using Grafana Assistant AI.

Aiven and SFEIR walk through what a governed, AI-ready foundation for product data looks like, and what it actually takes to build one. We'll be joined by Céline Thooris, Managing Director of WEnvision (SFEIR group), and Stan Dmitriev, Product Director for Aiven Context, sharing a first-hand view from the field and a concrete next step. What to expect.

Watch a 2-minute demo video of Honeycomb Anomaly Detection, part of the Honeycomb Intelligence suite.

We are stoked to announce that we have released our very own hosted MCP that allows you to use natural language to interact with and control anything you have running on Cycle.io. Alexander Mattoni, CTO and co-founder of Cycle, shares a few scenarios where the MCP can be useful. With the MCP, Cycle users can communicate with the Cycle platform directly from their preferred AI tool. In minutes, users can provision a new server, deploy an application, or troubleshoot an issue directly from their AI assistant like Claude, Claude Code, ChatGPT or Codex.