Operations | Monitoring | ITSM | DevOps | Cloud

Good news! You no longer have to be a DevOps or JFrog expert to harness the power of the JFrog Software Supply Chain Platform. With the introduction of JFrog’s MCP Server, we’re making the JFrog Platform accessible to your favorite large language models (LLMs). Now, every developer can take advantage of the detailed security and package information available in JFrog, such as vulnerability data from the JFrog Catalog, without needing to context-switch.

AI doesn’t replace teams. It frees them. AI can be viewed as a digital twin, shouldering the manual load, eliminating low-value work and giving people their time back. In network operations, where every second counts and pressure never lets up, AI becomes the way to rise above the pressing workload. The overwhelming workload isn’t due to teams being incapable, but more because they’re buried in busywork.

Elastic now integrates with the NVIDIA Enterprise AI Factory validated design to provide users with a recommended vector database for their on-premises AI Factories. The validated design provides enterprises with a framework for building and deploying AI Factories on-premises.

Everyone’s obsessed with speed right now. Ship fast. Stack features. Slap an LLM on it and call it v1. Amirite? But in the AI era, where cloud costs can spiral in a weekend, moving fast isn’t enough. The teams that track cloud unit costs from Day 1? They’re the ones who come out ahead. Most teams don’t start there though. They focus on building features and chasing traction, and the cloud bill just shows up like that subscription you forgot to cancel. Maybe someone glances at it.

I’m pleased to announce the public beta of Honeycomb Hosted MCP, along with our first wave of one-click integrations for Cursor, Visual Studio Code, and Claude Desktop. We’re also very excited to announce that Hosted MCP is available on AWS AI Agents marketplace and for all Honeycomb plans (including our free plan!) at no charge. Honeycomb was built with a singular focus: how do we help teams become better at the art and craft of software development, delivery, and operations?

Agentic AI is making waves across various industries, and its potential to transform ITSM is undeniable. With all the talk about agentic AI capabilities, you are probably daydreaming about streamlining ITSM processes through automated incident management, automated change risk analysis, improved efficiency through service desk automation, or enhanced service quality with predictive maintenance. But you also may start to wonder: How real is all of this? Is my organization truly ready for agentic AI?

There’s a certain comfort in the glow of your network operations center (NOC) dashboards. For some time, the sign of a well-run NOC was that sprawling bank of screens, each dedicated to a different domain. One for the WAN, showing link status. Another for the data center, tracking backbone health. A third for cloud consumption, pulling metrics from your provider. Each screen is a neatly bordered kingdom, diligently monitored by its own set of tools. As long as the lights are green, all is well.