Azure App Service Deploy using Kyndryl Agentic AI Agents 1 of 3

Azure App Service Deploy using Kyndryl Agentic AI Agents 1 of 3.

[Audio] (Pause for a few seconds to let audience absorb the workflow and architecture visuals) Building on the Foundation we established in Slide 1, where Kyndryl's Central AI Brain connects Cloud Providers and Edge Devices, let's now zoom in on the "how". This slide unpacks Kyndryl's Agentic AI Managed Services workflow and the Hybrid Multi-cloud Architecture that powers seamless Cloud Service deployments. Starting at the top: Imagine your developers interacting via a simple User Interface, submitting a query like 'Deploy a Web App into Azure Cloud with Auto-scaling'. Kyndryl's platform responds in real-time, but the magic happens in Kyndryl's Agentic AI Workflow. It's a closed-loop system, inspired by Advanced Reasoning Models. First, Planning. Kyndryl's Agentic AI Agent crafts a tailored Deployment Plan, assessing Resources and Dependencies. Next, Tool Use. Kyndryl's Agentic AI Agent Executes Actions Autonomously, invoking Preapproved APIs and Microservices without manual intervention. Finally, Reflection. Kyndryl's Agentic AI Agent assesses the Outcomes, Incorporating Insights from Successful Executions to Optimize Subsequent Iterations, while identifying Suboptimal Results for Retry or Escalation to Human Review. This is Far from Static Automation, this represents Dynamic, Self-improving Intelligence tailored to your company's Evolving Requirements. Shifting to the bottom section, here's the Powerhouse enabling it all… Kyndryl's Hybrid Multi-Cloud Architecture. See those Interconnected Cloud Providers? AWS, Azure, GCP, OCI, IBM, On-prem, Remote, Mobile, even Specialized AI Environments, all unified through Standardized REST APIs. At the center, Kyndryl's Agentic AI Executes Tool Actions via Lightweight Python Microservices, ensuring Interoperability across Ecosystems. And for safety? Built-in Guardrails prevent Errors, Enforce Compliance, and Optimize Costs, Think automated checks for Security and Scalability. This architecture isn't theoretical; it's battle-tested by our Cloud Practices team in the Americas Incubation Pod, delivering Kyndryl Digital Workplace Services that scale from Edge Devices to Enterprise Cores. The result? Developers Focus on Innovation, not infrastructure silos, driving that Flexibility and Residual Revenue we discussed..

[Audio] (Pause for a few seconds to let audience absorb the workflow and architecture visuals) Kyndryl's Agentic AI Agents tie's it all together with the Precise Execution Actions that make our Agentic AI a Deployment Powerhouse. Slide 1 painted the vision of Multi-cloud Unity and Slide 2 outlined the Intelligent Workflow, this slide delivers the Step-by-step Orchestration for Deploying Azure Web App, all powered by Autonomous AI Triggers. At the core: Autonomous Deployments. Kyndryl's Agentic AI Agents do not just plan, they act, minimizing manual oversight with Real-time Metrics and Proactive Resolutions. Think seamless CI/CD flows that detect issues Before they Disrupt, Dynamically Scaling Resources to match demand, and Optimizing Storage Allocations for efficiency. No more Firefighting; just Predictive Reliability that Forecasts Failures, Ensures Compliance, and Boosts Pipeline Uptime. Zoom into the right side: This is the Modular Blueprint in Action. Starting with the Resource Group Module, Step 1 Deploys the Foundational Container. Next, the App Service Plan Module provisions the Scalable Hosting Environment. Security comes next via the User Assigned Managed Identity (UAMI) module creates and manages a System-assigned Identity for the web application. This identity then has Scoped RBAC Roles (like Reader, or Contributor) to Enable Authorized Users to access only the Necessary Cloud Resources, such as the Azure Web App or Storage Account, without embedding secrets or keys. On the left, the Storage Account Module handles Data Foundations and Secure Private Endpoints. Each microservice via lightweight Python modules, built by Kyndryl's Cloud Practices team in the Americas Incubation Pod, is executed by Kyndryl's Agentic AI Agents, ensuring Zero-touch Integration across all clouds. This isn't just deployment; it's Kyndryl's Platform Engineering Agentic AI Managed Services at scale, delivering Faster Time-to-value, Reducing Total Cost of Ownership, while giving developers their Flexibility and Time back. I hope you enjoyed this short presentation. This video was made by AI. For all Questions or Comments, please contact Chris Marabut @ Christopher dot Marabut at Kyndryl dot com. Thank you for watching..