Operations | Monitoring | ITSM | DevOps | Cloud

Introduction to End-to-End Testing: Everything You Need to Know in 2025

End-to-end (E2E) testing is a crucial software testing methodology that ensures an application works flawlessly from start to finish. In today’s fast-paced development cycles (think Agile and DevOps), E2E testing helps teams validate entire user workflows – from the user interface on the front end, through any APIs or services, down to databases or external integrations – exactly as a real user would experience them.

COREDUMP #014: Why Your IoT Project Still Hasn't Taken Off - And How to Fix It

In today’s Coredump Session, the team takes a hard look at why some IoT projects stall before they ever hit scale. From organizational missteps to product-market fit challenges, they explore the hidden forces that derail even technically sound products. You’ll hear candid insights on why being “connected” isn’t enough—and what it really takes to succeed in IoT today. Key Takeaways Listen to the Podcast episode.

Vibe coding with the incident.io API

Many, many years ago, I was a computer science major at the University of Illinois, hoping someday I’d be able to write code for a living. I started my career in QA hoping to learn the ins and outs of software development. But it turns out I wasn’t very good at coding. I was just good enough to get a role as a sales engineer, where all I had to do was write code that could hold together for 30 minutes in a demo.

Innovation at Work: Inside Our Product & Engineering Team

In this inspiring video, three of our dedicated Product and Engineering team members open up about what it’s like to bring new ideas from concept to reality. Discover how collaboration fuels creativity, why working side by side with passionate colleagues makes all the difference, and how we put our customers at the heart of everything we do.

The Innovation vs. Control Syndrome: Unlocking Enterprise AI's Full Potential

From optimizing supply chains to personalizing customer experiences, artificial intelligence and machine learning models are no longer statistics-based revenue initiatives; they’re foundational to modern business strategy. Organizations are pouring resources into developing and deploying AI, driven by the promise of unprecedented efficiency, insight, and competitive advantage. Yet, beneath this surging wave of innovation lies a growing tension: the Innovation vs. Control Syndrome.

Unifying Autoregressive and Diffusion-Based Language Models

Welcome to the AI research bites. This series of short and informative talks showcases cutting-edge research work from ServiceNow AI Research team. The AI Research Bites are open to all, especially those interested in keeping up with the fast-paced AI research community. In this presentation, Pierre-André Noël will show that, if you squint hard enough, autoregressive language models are a special case of diffusion models. We make this idea more concrete by introducing hyperschedules, allowing different token positions to get different noise levels.