Operations | Monitoring | ITSM | DevOps | Cloud

How is Agentic AI fundamentally different from earlier automation?

Autonomous operations has been the goal for years. But most “automation” never got us there—it just helped teams keep up. Now that’s changing. Agentic AI introduces a fundamentally different model:– Purpose-built agents, not static workflows– Real-time decisioning, not predefined rules– Collaboration across agents, not isolated tasks Instead of automating steps, agentic AI enables systems to **reason, adapt, and act**—at a speed and scale humans simply can’t match. That’s what turns autonomous operations from a long-standing ambition into something actually achievable.

The Claude Bill is Too Damn High #speedscale #claude #aiagents #aicoding #devops #llms

Stop overpaying for AI reasoning by trading expensive GPU cycles for efficient, deterministic testing. This video explores how tools like linters and traffic replay can complement Claude, helping you fix bugs more accurately while cutting token usage by up to 50%. Visit: speedscale.com to learn more.

How to Manage Secure Boot Certificate Expiration with NinjaOne

NinjaOne Field CTO Jeff Hunter shows how to setup and use a community script to evaluate and report on which devices are prepared for the upcoming expiration of important certificates in the UEFI Secure Boot chain. A massive thank you to Sam K for sharing and continually updating this script! Chapter Markers.

Sentry + Claude Agents: Automatic Bug Fixes from Root Cause to PR

Seer, Sentry's AI debugger, automatically analyzes your issues and finds the root cause. Now you can pass that analysis directly to a Claude agent - a managed agent session in the Claude Console at platform.claude.com. Once it's done, a link to the branch appears in Sentry so you can review and merge the PR. This video walks through how the integration works and how to set it up in under two minutes.