Operations | Monitoring | ITSM | DevOps | Cloud

Test your AI model training reliability, too

Training is at the heart of every LLM model, but it’s still an application running on an infrastructure, which means it can fail. Our GPU test helps you test your training GPUs so you don’t lose that valuable work. TRANSCRIPT: One of the things we built recently was the GPU Gremlin. So if you are training a bunch of models and you're doing a bunch of GPU testing. You know, we want to give you the tools to be able to go test that, to understand how training the model could fail.

Digital Adoption + AI: The Secret Route to Zero Tickets

Generative AI has the potential to transform workplace productivity – but do organizations know how to deliver on that promise? New research shows that employees who use generative AI tools engage with them up to ten times per day, spending over three hours per week interacting with AI at work. And yet within the same organizations, large groups of employees have never meaningfully engaged with these tools at all.

MCP and A2A: What They Are and Why They Matter for Autonomous IT

MCP and A2A are the two protocols that make agentic AI governable at enterprise scale. One controls how agents use tools, and the other controls how agents work together. AI in the enterprise is no longer confined to chat windows. It’s operating inside incident queues and automation pipelines. Increasingly, teams are using AI agents to take action: detecting incidents, executing remediations, updating tickets, coordinating across systems.

From signals to savings: Optimizing cloud costs with Grafana Assistant and MCP servers

In today's cloud-native environments, managing resource waste and optimizing costs can feel like a constant battle. Operators, along with their fearless FinOps teams, spend countless hours hunting down unused resources, deciphering complex telemetry data, and manually implementing code or configuration changes to try to reduce cloud costs. But what if you could automate the entire process, from identifying waste to implementing the fix, all based on actual production telemetry?

5 Ways You Can Improve Your Shipping Operations

No business can be truly successful if they have not optimised its shipping operations. In fact, without optimisation, this facet of your organisation can cost you valuable resources such as time and money. With that in mind, check out our suggestions on how you can improve the shopping operations in your organisation, below.

How Long Does Deep Research Take? We Timed 5 Tasks With & Without AI

How long does deep research take? That's a million dollar kind question if you've ever lost a weekend to digging through sources for a report. You already know the pain of hours of searching, reading, and synthesizing, only to wonder if you missed something crucial. We gathered experiment data comparing traditional research methods against modern AI tools across five common professional tasks. The exact time savings we measured might surprise you, and they reveal how AI is quietly redefining what it means to be a deep researcher.

Evaluating Observability Tools for the AI Era

Every observability vendor has an AI story right now. Most have an MCP. Many have a chatbot. All have a demo where the AI finds the root cause of an incident in thirty seconds and everyone in the room nods. In the context of a public demo, these tools look almost identical. Ask the AI a question, the tool returns an answer, and the engineer fixes the bug. Impressive. But if you buy based on the demo, you may end up with an AI layer that looks great on a call and disappoints in production.