Operations | Monitoring | ITSM | DevOps | Cloud

AI agents are making decisions, accessing systems, and resolving issues autonomously. But as organizations deploy more agents, one challenge becomes impossible to ignore: governance. Who has access? What changed? Who is accountable? The future of Autonomous IT requires autonomy with accountability.

Managing MongoDB database changes shouldn't require manually creating and maintaining changelogs. In this video, you'll learn how Harness Database DevOps automatically generates MongoDB changelogs, helping teams capture existing database changes and bring them into version control for reliable CI/CD workflows. As a modern **database schema migration tool**, Harness Database DevOps helps teams automate database change management across relational and NoSQL databases, reducing manual effort and deployment risk.

Can a general purpose, open source operating system like Linux be deployed in safety-critical products? Can it achieve certifications to standards like ISO 26262? This question has become increasingly common in recent years. In this talk, Bryan provides a safety integrity qualification approach for Linux. It is composed of Linux Kernel, user space libraries (like libc) and user-space components (like init processes), up to ASIL B according to ISO 26262:2018.

AI-powered worker safety monitoring: detecting helmets, vests, and compliance in real time.

Chunk sidecars give your agent CI-grade feedback in seconds. No push, no pipeline wait. Catch failures and fix them while the agent is still in context.