Operations | Monitoring | ITSM | DevOps | Cloud

Harness AI understands GitOps entities and can detect misconfigurations in manifests, identify missing dependencies or clusters, diagnose connectivity issues, and suggest fixes in context. With the expansion of the "Ask AI" assistant into GitOps, teams can troubleshoot issues directly where they occur, not after the fact.​

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.

Managing GitOps at scale shouldn’t feel like an endless game of "Whac-A-Mole." In this 3-minute demo, we show how Harness AI moves beyond simple syncs to provide agentic troubleshooting and automated orchestration for your entire GitOps estate. Watch as we use the Harness DevOps Agent to: Identify Common Failure Patterns: Instead of clicking through individual clusters, we ask the AI to analyze 4 out-of-sync applications simultaneously.

In this video, Eric Minick from Harness explains the fundamentals of blue-green deployments and how they help maintain a seamless user experience. Key topics covered include: Whether you are looking for fast rollbacks or safer production testing, blue-green deployments offer a powerful strategy for modern software delivery. Learn more about Blue-Green Deployments: If you enjoyed this video, consider subscribing to the channel for more videos.

Discover how to manage MongoDB schema changes using Liquibase with the Harness Community Liquibase MongoDB Extension. In this step-by-step tutorial, you will learn how to install, configure, and run MongoDB database migrations using Liquibase Community Edition. This extension enables DevOps teams to bring database version control and CI/CD practices to MongoDB, making schema changes easier to track, automate, and deploy.

Harness Artifact Registry’s Dependency Firewall protects your software supply chain by enforcing security policies at the moment dependencies enter your environment. Instead of discovering risky packages later in the pipeline, Dependency Firewall evaluates every dependency at ingest using policy-as-code and blocks packages that violate security rules.

Pipeline Creation: Using a single prompt in the IDE, a CI/CD pipeline is created and triggered via the agent connected to the Harness MCP server. Failure Diagnosis and Fix: When the pipeline fails, the agent is used to diagnose the issue (a failed dependency) and propose a fix, which is then committed, pushed, and the pipeline re-triggered to succeed. Deployment: After a successful build, the artifact is deployed into a Kubernetes cluster. Incident Response.

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.