Operations | Monitoring | ITSM | DevOps | Cloud

What is a remote MCP server?

As development shifts toward agentic workflows, an AI agent is only as capable as the systems it can reach. Local MCP servers allow desktop CLI and IDE agents to execute multi-step tasks on your machine. But remote MCP servers (also called hosted MCP servers) extend that reach to cloud-based and background agents, allowing an agent running in a web browser, a CI runner, or a backend service to access external tools over HTTP without needing a developer’s machine running local child processes.

Agentic AI in the Data Center: What It Really Means, and Why Security Has to Come First

Agentic AI means a system that acts on behalf of a specific person, within that person’s exact role and access permissions — not a general term for “smart” software. In data center infrastructure, agentic AI only becomes safe to deploy once three things already exist: a complete monitoring pipeline, an analytics pipeline, and a control pipeline governed by strict role-based access control.

AssemblyAI scales production Voice AI with Datadog's unified observability

AssemblyAI is a leading Voice AI platform that provides speech-to-text models and AI infrastructure developers use to build real-time voice applications. AssemblyAI uses Datadog to unify observability across its AI inference pipelines and multi-cloud GPU infrastructure, enabling the team to optimize performance and costs, accelerate model releases, and confidently deliver fast, reliable AI experiences at scale.

Building with AI: Our Approach to Responsible Agentic Development in Open Source

The tech world has been building up towards the shift to a fully agentic development life cycle for a few years now. AI is changing how software gets built. Across the Puppet ecosystem, we’re seeing a shift toward more agentic engineering workflows. AI helps generate code, shape documentation, and accelerate how Puppet modules evolve.

Agentic Pipelines | Bitbucket Blitz | Atlassian

Most CI/CD pipelines are fragile bash scripts that break when things change. What if your pipeline could think? Agentic Pipelines lets you add AI agents as steps in Bitbucket Pipelines. In this video, I show an agent that reads a design spec from Confluence, generates frontend code, runs tests, and opens a PR, all inside a pipeline. With Agentic Pipelines, Bitbucket goes from a CI/CD platform to a full workflow and automation engine you can use far beyond builds and deploys.

Switching Between AI Agents Like This Is a Game Changer #ai #productivity

AI didn't just change how fast code gets written. It exposed a new bottleneck: everything around the code. Reviews slow down. Context gets lost. Planning drifts from implementation. Teams move fast and still feel stuck. That's the problem GitKraken is built to solve, and this Friday we're going live to walk through what's changed. We'll cover the latest Code Flow Company features we've shipped, how they connect developers, AI agents, and production into one system, and what it actually looks like to go from plan to main without the chaos.

Can a T-Shirt Fool AI? Why AI Guardrails Matter for IT | Zero Ticket Minute

Can AI be influenced by something as simple as a T-shirt? New research suggests irrelevant context can affect how some AI models respond. In this Zero Ticket Minute, Ian explains why AI guardrails matter and what IT leaders should consider as they adopt agentic AI and autonomous operations.

How to Build a Reliable Review Gate for AI Generated 3D Assets

A creative team generates twenty 3D props in an afternoon. The files look acceptable in preview images, so they are placed directly into the shared asset library. Days later, developers discover inconsistent scale, missing textures, reversed normals and several models with unclear ownership or revision status. The generation process worked. The production process did not.

Imaginary Test Data. Real Token Bill.

Ask an AI for K-pop concert advice without saying the group, city, date, or budget. It may confidently send you to a BLACKPINK tribute night in Cleveland with a $400 resale ticket. The AI was plenty confident. It just had nothing real to go on. That is exactly what happens when developers test AI applications with invented traffic. The test may look reasonable. The result may even pass.