Microsoft Azure Spring Apps: Building and Modernizing AI Apps Landing Zone Accelerator Onboarding Service (3 Days)

Our Service

The Landing Zone Accelerator for Building and Modernizing AI Apps with Azure Spring Apps is a comprehensive 3-day program tailored for organizations looking to enhance their web application infrastructure on Azure App Service. This accelerator provides essential architectural guidance, facilitating efficient provisioning and deployment of production-ready web applications. The initiative aims to support teams through the app migration and modernization process, ensuring a smooth transition to Azure environments. Key components include collaborative sessions to address objectives, outcomes, and prerequisites, setting a solid foundation for successful implementation.

Key Components

  • Architecture Guidance: Comprehensive architectural frameworks to support the efficient deployment of AI applications.
  • Infrastructure Provisioning: Streamlined processes for establishing production-ready infrastructure on Azure App Service.
  • Deployment Strategies: Proven methodologies for deploying web applications that maximize performance and scalability.
  • Collaboration Framework: Structured approach that ensures effective collaboration between your team and the experts throughout the implementation process.
  • Implementation Agenda: Clearly defined agenda to guide the successful implementation of the accelerator within the specified timeframe.

Your Benefits

  • Expert Services: Get first-hand insights and guidance from the experts.
  • Accelerated Migration: Expedite your app migration and modernization journey with streamlined processes and best practices.
  • Enhanced Performance: Optimize application performance through tailored recommendations and advanced architectural designs.
  • Cost Efficiency: Minimize operational costs by leveraging Azure’s scalable infrastructure and services effectively.
  • Future-Ready Solutions: Position your organization to adapt to evolving technological trends and demands in the AI landscape.
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