Operations | Monitoring | ITSM | DevOps | Cloud

Managing build artifacts today is harder than it should be. Fragmented tools, security blind spots, and disconnected developer workflows make it difficult to keep builds safe, consistent, and production-ready. In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, shows how Harness Artifact Registry unifies artifact management across the entire software delivery lifecycle — from creation to deployment — while improving security and developer experience.

Knowledge graphs are essential to solving the context bottleneck in AI-First software delivery, which occurs because workflows, policies, and dependencies are siloed and invisible to AI agents. In this Tech Talk, Prateek Mittal ((Product Director of AI Core and Data Platform at Harness)) discusses the key concepts: Knowledge Graphs vs. Observability: Observability tells you "what is happening," while knowledge graphs tell you "what does that mean" by modeling structured relationships. They work together to link live signals to affected services or SLAs.

Learn how to set up and execute zero-downtime blue-green deployments for Google Cloud Managed Instance Groups (MIG) using Harness Continuous Delivery.

Meet Skylar Advisor, bringing trusted and verifiable guidance to IT operations by connecting real time observability with your data and knowledge. Built AI native, it helps teams cut through alert floods, understand what matters most and why, and take the next best steps with confidence. Every recommendation is evidence backed and traceable to the exact data and sources used, so guidance is clear, explainable, and defensible when the stakes are high.

In this stream, we're going to be building an application together from scratch using ShadCN, AI SDK, and Sentry. Today's goals.