Operations | Monitoring | ITSM | DevOps | Cloud

Discover why real-world testing could be the secret to superior product development. Mark and Tyler share intriguing insights from their time at Pebble, revealing a strategy that might just revolutionize your approach to feature testing. Watch now to rethink your testing process.

Shipping faster can seem risky, but Mark Schulte reveals why it might actually lead to fewer bugs. Discover the unexpected math behind releases and how a rapid approach enhances your debugging efficiency. Can breaking down changes hold the key to smoother deployments?

On this episode of Interrupt Live, we'll meet Mark Schulte, a Principal Firmware Engineer at Chromatic. He'll cover a wide range of topics, from what inspired him to write his Schematic Review Checklist for Interrupt to other things like different components of firmware reliability (architecture, unit testing, hil testing, automated testing, firmware roll out, monitoring, and user feedback).

Not every bug deserves an all-hands response. With observability, you can stop guessing and start fixing the issues that impact the most users. François Baldassari explains how hard data helps teams cut through the noise and focus on the fixes that actually improve customer experience.

Tracing lets you view the path of a request through the different parts of your application. In this video, Cody shows us how you can use Tracing and Spans to debug everything from performance slowdowns in your applications to authentication problems.

Bricking your entire fleet with one bad update? That’s every engineer’s worst OTA fear. François Baldassari shares the two must-dos for shipping updates safely: staged rollouts and real-time observability. Catch issues early, before your customers ever notice.

You shouldn’t need a PhD to build smart devices. From streamlined object detection workflows to easier data collection and processing, the latest updates are all about making edge AI more accessible. Here’s how we’re removing complexity and helping teams get up and running faster.

Need to stop a saw before it hits a finger? Edge AI delivers where the cloud can't with ultra-low latency, better privacy, and smarter bandwidth usage. For devices on cellular or satellite networks, pushing data to the cloud just doesn’t cut it. Here's why AI at the edge is the right move for real-time IoT applications.

Sentry is all about bringing together all the context that comes along with when your application is having problems into one place, so you can debug issues faster and get applications up and running. In this End to End demo video, Cody takes you through a common workflow including Sentry's AI powered Autofix, Stack Traces, Session Replays, and diving into Traces and Spans for debugging.

Too many teams treat their ML models as isolated components. In reality, they're core to the product experience. Whether it’s a face-recognizing doorbell or another connected device, it’s time to think system-first. How fast should it respond? What happens if it fails? Start designing with the full user experience in mind.