Operations | Monitoring | ITSM | DevOps | Cloud

Are hospitals still using pagers in 2026? The answer might surprise you. In this video, we break down why hospital pagers are still used today, the security risks of pagers, and whether they meet HIPAA compliance standards. While pagers have long been trusted for their reliability, many healthcare organizations are now re-evaluating their role in modern clinical communication. We also explore why pagers are considered insecure, including the lack of encryption, no read receipts, and limited communication capabilities, all of which can impact patient care and coordination.

Learn more: speedscale.com.

ValueOps Vaia: AI Driven Planning and Execution AI is moving fast, but without control, it creates chaos. Discover how Vaia helps you manage AI economics, reduce waste, and deliver measurable business value across strategy, planning, and execution.

Lightrun’s Dan Putman demonstrates the power of the latest Lightrun MCP skill. Watch how your AI code agent can now debug live applications directly in production. By connecting OpenAI's Codex to real-time runtime data via the Lightrun MCP, engineers can now generate and validate hypotheses using live telemetry and snapshots, without breaking flow. Ready to bring runtime context to your AI agents?

In this video, Lightrun’s Dan Putman demonstrates what happens when Lightrun MCP is integrated within Claude Code. See how, once activated, Claude can ask specific questions about what services it can see and instrument in order to perform a deep investigation in production to get to a validated root cause analysis without the friction of redeploying or switching contexts.

Here's Senior Software Engineer Vicente Ortega showcasing something he's built: the new k6 Script Authoring mode for Grafana Assistant.

You can now access Grafana Assistant in self-managed environments! See why the feedback has been so strong.

We've published Sentry pre-built dashboards that are free and extensible! Check them out!

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.