Operations | Monitoring | ITSM | DevOps | Cloud

Get a closer look at how Hyperview’s Asset Auto-Discovery simplifies data center infrastructure management by automatically identifying connected assets across your environment. This tour shows how you can save time, improve data accuracy, and gain the visibility needed to manage capacity, power, and change with confidence.

Spec-driven development with AI coding agents could change how you build software. In this GitKon 2025 talk, Erik Hanchett, Senior Developer Advocate at AWS, breaks down why AI coding assistants perform dramatically better when they start with structured specifications instead of raw prompts. If you've been vibe coding your way through complex features and wondering why your AI keeps going off the rails, this is the video for you.

AI adoption in DevOps is accelerating, but trust, accuracy, and real-world usability still matter. In this conversation, Jason St-Cyr sits down with Jessica Gao, Product Manager at Puppet, to unpack how AI is actually being used in infrastructure and operations teams today, and what’s changed over the last 12–18 months. They dive into why enterprises are moving past generic code generation tools and toward domain-specific, MCP-powered AI that integrates directly into existing workflows.

In this video, Eric Minick from Harness explains the fundamentals of rolling deployments and how they help maintain a seamless user experience during software updates. Key topics covered include: Whether you are looking for simple implementation or consistent application uptime, rolling deployments offer a powerful strategy for modern software delivery. Learn more about Rolling Deployments and Harness Continuous Delivery.

Most engineering roadmaps are built around certainty, but that model is beginning to break down. When the way people interact with software is changing this quickly, exploration stops being a side project and starts becoming the day-to-day.