Operations | Monitoring | ITSM | DevOps | Cloud

Building AI applications often means juggling multiple models, scattered datasets, and version chaos across local systems. But what if you could bring it all together — securely and efficiently — in one place? In this walkthrough, Shibam Dhar, DevRel Engineer at Harness, demonstrates how Harness Artifact Registry makes it easy to manage and govern your AI/ML assets — from models and datasets to prompts and agents — with built-in support like Hugging Face and generic registry types.

Is your engineering team hitting the "Argo Ceiling"? Argo CD is incredible at syncing state, but as you scale past 20, 50, or 100 clusters, the maintenance tax skyrockets. In this webinar, we break down why the "hub and spoke" model of GitOps creates isolated silos, leading to "tab fatigue," massive security blast radiuses, and the need for thousands of lines of brittle CI "glue code" just to handle basic release orchestration.

February is all about making AI in software delivery secure and easier to operate at scale. This month’s updates span enterprise-grade application security, API security via MCP, SRE automation, and a major upgrade to the DevOps Agent.

How do you secure data in the age of Agentic AI? In this episode of ShipTalk, Dewan Ahmed sits down with Devan Shah, Chief Architect of Data Security at IBM, to explore the massive shift from traditional DevOps to AI-infused software delivery. Devan shares his journey from being a chef to leading an "army" of 450+ developers at IBM. They dive deep into the technical bedrock of IBM’s "OnePipeline" (built on Tekton and Argo CD), the rise of Data Security Posture Management (DSPM), and the architectural principles required to ship AI features without compromising security or compliance.

Even perfect code can fail in unpredictable environments. Learn how Harness helps DevOps and SRE teams uncover hidden resilience risks early in the SDLC using chaos, load, and DR testing. Build continuous resilience, reduce downtime, and recover faster, before failures impact your customers.

Database changes shouldn’t be manual, risky, or disconnected from your release process. This walkthrough shows how to get started with Database DevOps using Flyway and Harness, bringing versioning, automation, and CI/CD discipline to your database migrations. Flyway enables SQL-first, versioned migrations, while Harness provides governance, pipeline orchestration, and environment visibility so teams can deploy database changes with the same confidence as application code.

Cloud Cost Optimization Isn't Broken , The Approach Is.

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.