Operations | Monitoring | ITSM | DevOps | Cloud

Developer productivity metrics create unique anxiety. If your company rolled out tracking systems like DORA metrics or velocity dashboards, you're probably wondering what these numbers mean and how they'll evaluate your work. At GitKon 2025, we assembled senior engineers from GitHub, Cloudflare, Kong, and GitKraken to discuss "Your Boss is Measuring You, Now What?" The panel included both individual contributors and engineering leaders, creating an honest conversation about measurement from both perspectives.

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

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.

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.