Operations | Monitoring | ITSM | DevOps | Cloud

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.

In just two minutes, learn how our AI-powered platform unifies control across Windows, Mac, Linux, Mobile, and even VR/XR headsets. Discover how to eliminate tedious tasks with automated patching, zero-touch onboarding, and self-healing capabilities—allowing your team to focus on strategy instead of firefighting. What you’ll see in this video: How to achieve full visibility across your entire environment. The benefits of risk-based patching and continuous compliance. Proactive user experience optimization powered by AI. How to reduce risk and scale IT efficiency on a single platform.

One file changed. 9,716 tests in the suite. Only 44 needed to run. See how Smarter Testing uses Test Impact Analysis to cut the unnecessary tests and get to feedback faster.

See how BigPanda Analytics turns IT operations analytics into instant answers, no hand-built reports required. IT leaders are used to waiting on a report someone on the ops team had to hand build, and every follow-up question starts the cycle over again, while the business keeps moving. This demo shows how IT executives get direct access to IT operations analytics: prebuilt dashboards, AI-powered insights, and a natural language research tool that answers questions in real time.

A P1 ticket sits before anyone notices it's close to breaching. A config change goes out and three days later nobody can say for sure who signed off on it. The information exists somewhere — an email thread, a spreadsheet, someone's memory — but not on the ticket itself, which means by the time you go looking, it's already a bad conversation with a client or an audit finding waiting to happen. What you'll learn.

Deploy one collector and watch the model build itself from what’s actually on the floor. Assets, racks, and connections appear without agents, CSVs, or another database to babysit. See it in the link in bio. Map your assets—see what you really own.

Everyone depends on open source. Far fewer agree on who should sustain it, what counts as "open", or what portability really means.