Operations | Monitoring | ITSM | DevOps | Cloud

What Are AI Guardrails

When you're shipping LLM features, a lot of the work goes into keeping the model's behavior predictable. You deal with questions like: These are everyday concerns when you integrate LLMs into production systems. Guardrails AI provides a Python framework that helps you enforce those expectations. You define the schema or constraints you need, and the framework validates both the inputs going into the model and the outputs coming back.

Can a Human Beat Grafana's AI at Its Own Game?

Grafana Assistant just went GA at ObservabilityCON, and it’s already changing how developers onboard, troubleshoot, and build dashboards in Grafana Cloud. In this video, we put it to the ultimate test — a head-to-head challenge between me and the Grafana Assistant. Who can onboard an app into Grafana Cloud faster and more accurately? Chapters: Watch as we explore: How the Grafana Assistant simplifies onboarding and setup Building dashboards for Redis, Kafka, and Postgres The power of using community dashboards vs. manual configuration Whether AI can truly speed up observability workflows.

Work Where Your Teams Already Are with PagerDuty's AI Agents for Slack

Modern operations happen in Slack, where teams spend their days collaborating, troubleshooting, and resolving incidents. And while many incident management tools offer Slack-friendly experiences, they lack end-to-end capabilities that teams need. During critical moments, other tools may require users to switch between Slack and their own interfaces, creating friction.

From Observability to Network Intelligence: How Kentik Built the Foundation for Networks That Think

The age of dashboards is ending, as observability has only created more noise for network teams to sift through. Kentik SVP of Product, Mav Turner, lays out why true network intelligence requires a clean, contextual data foundation to finally create a network that thinks.

Agentic AI in Action: How OpenAI, Tribe AI and LogicMonitor See Enterprises Preparing for Autonomous IT

Recommendation: Focus your next AI initiative on one high-impact workflow. Measure, iterate, and scale. Agentic AI has quickly become the next frontier of enterprise automation. Instead of static AI tools that wait for human prompts, agents act on behalf of users by autonomously reasoning, sequencing steps, and taking action within defined guardrails.

The New Open 360 AI Experience

Experience the new Open 360 AI, built to help you explore, analyze, and act on your observability data in a smarter way. See how the AI Agent works directly inside dashboards to explain anomalies, summarize trends across your telemetry data, and guide you to root cause, without switching views or writing queries. Everything you know and love is still here, now enhanced with AI.

E9: Leveraging GenAI and last-mile automations to improve operational efficiency in ServiceDesk Plus

In this ninth episode of Masterclass 2025, discover how your enterprise can leverage generative and predictive AI features paired with last-mile customizations to meet your unique service delivery needs.

You Can't Fix What You Don't Measure: Observability in the Age of AI with Conor Bronsdon

Only 50% of companies monitor their ML systems. Building observability for AI is not simple: it goes beyond 200 OK pings. In this episode, Sylvain Kalache sits down with Conor Brondsdon (Galileo) to unpack why observability, monitoring, and human feedback are the missing links to make large language model (LLM) reliable in production.

Access Real-Time Infrastructure Data With Puppet Infra Assistant #puppet #itautomation #aiops

Puppet Infra Assistant allows easy access to real-time infrastructure data to make faster data driven decisions. Be future-ready and effortlessly access vital infrastructure data with Puppet Infra Assistant; no Puppet experience required.
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Transform your workflow with Raygun's remote MCP

We're happy to announce Raygun's new remote MCP server, giving AI tools direct access to live error data so they can investigate issues, surface root causes, and take action with real context, not guesses. It's been nearly a year since Anthropic released the Model Context Protocol (MCP), and a lot has changed in the AI space. Since then, almost all major players now support MCP, allowing them to tap into the massive and ever-expanding catalogue of MCP servers. When MCP first launched, we shipped our own Raygun MCP within 48 hours of the spec dropping, which was an early step toward giving LLMs visibility into Raygun data.