Operations | Monitoring | ITSM | DevOps | Cloud

Your AI agent can now set up uptime monitoring. No signup required.

We’re happy to introduce you to the first agentic uptime monitoring setup! Now your AI agents can continue their coding, testing, and deploy flows into setting up the monitors, including a free account. The agent submits your site’s URL and your email, you confirm with one click in the email you receive, and you have a working monitor plus a free account. No registration form, API key, or dashboard configuration needed.

Automatically starting investigations from an alert with Assistant Investigations

Staff Software Engineer Alexander Sniffin demonstrates how you can use Assistant Investigations to automatically start an investigation for you when an alert fires in Grafana. When you receive an alert, Investigations can do the work to figure out the root cause so that you don't have to spend your time doing so. Assistant Investigations is now generally available for Grafana Cloud.

Agent Guard: Control AI Assets Before They Become Shadow AI

A developer on your team just told Claude Code to connect to a new MCP server, the protocol coding agents use to reach organizational tools and data. Nobody in security reviewed it. Nobody in security even knows it happened. For two-thirds of enterprises, the primary obstacle to scaling agentic development isn’t budget or headcount — it’s security risk.

Only 1 in 4 Employees Follow AI Policy: How to Fix It

AI is more than just a tool—it's a transformative experience for the modern workforce. But as employees "run fast" to adopt AI, a critical gap is forming between innovation and safety. In this video, Brooke Johnson, Ivanti’s Chief Legal Counsel and SVP of People and Security, discusses the "natural tension" between AI excitement and the necessity for responsible, secure implementation. With only 25% of employees reporting consistent policy adherence, the risk of "Shadow AI"—unsupervised tool use—has never been higher.

AI didn't take humans off the platform, it just changed the job they do there.

Agents are writing more of the code these days, but that doesn't make them the only user of your platform. Abby Bangser, Principal Engineer at Syntasso and CNCF Ambassador, makes the distinction: the agent might be your primary coder, while humans are still validating what it builds and interacting with the system it runs on. From a Braintrust conversation with engineering leaders on AI agents and engineering operations.

GitLens 18 Turns the Commit Graph Into an Agent Command Center

Five coding agents sounds like leverage right up until a developer is the one keeping track of all five: one fixing a bug, one building a feature, one refactoring, and two waiting on input at the same time. AI did not create that problem. It exposed a workflow problem that was always going to surface once parallel development became normal instead of occasional.

Graylog MCP Howto Webinar

In this video, we walk through connecting the Graylog MCP Server (introduced in Graylog v7.0) to Claude CLI, enabling natural language interaction with your Graylog instance through Claude Desktop. Topics covered: Whether you're a Graylog admin looking to speed up investigations or a security engineer curious about AI-assisted log analysis, this walkthrough gives you everything you need to get MCP running end to end.

Automate all the things: How to use Grafana Cloud's AI to relieve the operational burden

Continuous integration and continuous delivery (CI/CD) have dramatically changed how we ship software. But once code reaches production, the operational work is still surprisingly manual. Engineers continually monitor systems, investigate unexpected behavior, and decide which issues require action. And that is where the next opportunity for AI-driven automation lies. For example, in today's CI/CD workflows, someone refreshes the pipeline page to see whether the queue has moved.

A default is not a decision: cut AI model costs with CloudZero's free, open-source Model Rightsizer

Only 22% of finance leaders can tie their AI spend to a business outcome, according to CloudZero’s 2026 finance survey. When AI ROI falls short, it usually isn’t because a company is doing too much AI. It’s that no one is watching which model runs which task, and that one choice accounts for a large part of the cost. Here’s why it happens.