Operations | Monitoring | ITSM | DevOps | Cloud

How to use Grafana Assistant with the AWS CloudWatch data source

Grafana Assistant meets AWS CloudWatch! In this video, Staff Software Engineer Ivana Huckova shows how to use Grafana Assistant, the AI agent built into Grafana Cloud, with the Amazon CloudWatch data source. Watch her query CloudWatch metrics and logs in plain language, build dashboards in seconds, and troubleshoot AWS resources — no query syntax required.

Is Your Network Infrastructure Ready for Agentic AI?

Artificial intelligence is evolving faster than most organizations anticipated. Just a few years ago, enterprises were experimenting with machine learning models and predictive analytics. Then came generative AI, enabling organizations to create content, accelerate workflows, and unlock new productivity gains. Today, we're entering the next phase: agentic AI.

Sneak Peek: AI Powered Monitoring with MetricFire MCP Server | The Future of Observability

Get an exclusive first look at MetricFire's upcoming MCP (Model Context Protocol) Server and see how we're bringing AI-powered observability to Hosted Graphite. The MetricFire MCP Server gives AI assistants a secure way to interact with your monitoring data through purpose-built tools. Instead of manually searching dashboards and metrics, you can simply ask questions in natural language. Imagine asking.

Building a Control Framework for the AI SDLC

AI coding tools are in use across regulated industries, producing workable code faster than humans can review. It’s a shift that’s raising difficult questions that haven’t been fully answered yet. What does governance look like when AI agents are writing the code, reviewing each other’s work, and fixing their own findings? How do you prove what code is running and whether it passed your checks? Who’s accountable for change approvals, audits, incidents?

How Business Process Workflow Automation Reduces Human Errors

Human error is one of the most expensive problems businesses deal with every single day. From data entry mistakes and missed approvals to incorrect invoices and compliance oversights, the cost of getting things wrong adds up fast. The good news is that business process workflow automation is changing how organizations manage their operations, and reducing human error is one of the most compelling reasons to adopt it. When repetitive, rule based tasks are handed off to automated systems, the margin for error shrinks dramatically and the quality of output improves across the board.

Top Tips: Stay creative in the age of AI

Top Tips is a weekly column where we examine the trends transforming the workplace. This week, we're exploring the relationship between AI and creativity, why convenience shouldn't come at the cost of original thinking, and practical ways to keep your creative edge sharp. Have you ever heard of the prefrontal cortex? It's one of the most fascinating parts of the human brain.

Identity and Permissions for AI Worker Agents in Harness | Harness Blog

When we launched Autonomous Worker Agents, governance inherited, not integrated, was the core promise: agents run inside the same pipelines, and inherit the same RBAC, policy, and audit trails already governing production, rather than getting security bolted on after the fact.