Operations | Monitoring | ITSM | DevOps | Cloud

Join us for the second session of our DevTalk series as we explore the powerful capabilities of Zebra's Mobile Computing AI Suite. This webinar covers how our Zebra Frontline AI Enablers equip developers with a software development kit (SDK), sample applications, and APIs to integrate AI-powered computer vision features into enterprise applications on Zebra mobile devices. These tools are designed to accelerate development by providing pre-trained models and sample code specifically optimized for the Qualcomm AI-accelerated hardware in Zebra's devices.

In this video, Lightrun's Moshe Sambol walks you through the power of Lightrun MCP and Runtime Context. A game-changer for AI-assisted development. This integration lets developers debug live issues, inspect real-world variables, and verify fixes across environments, all without leaving the IDE. With Lightrun MCP, you can: Capture live transaction state directly from Staging and Production. Identify root causes using real runtime values, not just static code. Verify fixes instantly without redeploying or context switching.

If your system is already down, you aren't being proactive; you're being reactive. True proactivity happens before the release. Validate your code before it hits production. Learn more: speedscale.com.

Stop asking AI to analyze production data without context. If you want AI to write better code, you have to feed it the right data. Learn how at speedscale.com.

SIGNL4 wins big in the G2 Winter Awards!

Tom Stoneman and Digitate Field CTO Efrain Ruh discuss real-world AI adoption roadblocks. They cover the three pillars of success (integration, observability, transparency) and how fear stalls progress.

@Pepperdata.

Understand the four pillars of observability (metrics, logs, traces, and profiles) with Co-founder Peter Zaitsev.