CloudAtlas Modernize & Migrate for Azure
PURPOSE
This document outlines the latest features being rolled out in the CloudAtlas Modernize and Migrate Portal for Azure in April 2024. Customers can use this document as a guide to understand and utilize the features offered by the portal.
INTENDED USE AND TARGET AUDIENCE
This document serves as a reference for new features intended for all users of CloudAtlas Modernize and Migrate for Azure.
1. AI ENHANCEMENTS
The enhanced CloudAtlas Modernize and Migrate reports now include comprehensive detection of AI workloads within applications. Whether applications use image processing, sentiment analysis, or other AI-driven functionality, the reports identify these workloads and provide recommendations for optimization.
Key Benefits
- Expanded Application Capabilities: Incorporate advanced AI functionalities, such as sentiment analysis, content safety checks, and AI vision, directly into applications to enhance capabilities and user experience.
- Simplified Development Process: Access AI services within the Azure environment, reduce the need for complex external integrations, and shorten the time to market for AI-powered features.
- Cost-Efficient Solution: Leverage Azure OpenAI services to reduce costs associated with expensive third-party AI platforms or custom-built solutions.
- Scalability and Flexibility: Simplify configuration tasks for both on-premises and cloud resources.
- Security Controls: Implement security measures and support compliance across the infrastructure.
- Integration with the Azure Ecosystem: Integrate with services such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Service to support comprehensive AI solutions.
- Enhanced Efficiency: Use AI to automate tasks, analyze data, and generate valuable insights, improving productivity and supporting innovation and business growth.
1.1 AI Workload Identification
A comprehensive AI workload identification system has been implemented within the reports. This system analyzes customer applications to identify existing or previously utilized AI components, including TensorFlow and other AI frameworks.
Customers receive detailed assessments of the AI capabilities present in their applications, helping them make informed decisions about leveraging Azure OpenAI services.
1.2 AI Innovative Report
The AI Innovative Report provides an in-depth analysis of an application's codebase to identify opportunities for integrating Azure OpenAI services. It offers recommendations tailored to specific domains, such as healthcare and finance, enabling customers to explore AI-driven solutions relevant to their industries.
1.3 AI-Enabled Recommendations
The reports now include AI-enabled recommendations that provide personalized suggestions for optimizing applications through Azure OpenAI services. These recommendations support the integration of AI capabilities to improve application efficiency and modernization.
1.4 AI-Automated Remediation Approach
The reports now include AI-driven remediation solutions that provide prompt and accurate responses to identified issues in application code.
Users can choose from three code remediation options:
- Azure OpenAI Services
- Code Lima
- VM-Based Approach
Through AI-powered prompts and responses, customers can address code issues efficiently and optimize applications for performance and reliability.
1.5 Code Assist Integration
Code Assist functionality has been integrated to enable automatic code generation for AI-related tasks. Customers can choose between Azure OpenAI and Code Lima models in the CloudAtlas tool according to their privacy and security preferences, providing flexibility in how AI services are used.
1.6 Enhanced Security and Privacy
To address data privacy and security concerns, Code Lima provides an alternative for AI implementation that does not require sharing code externally.
By leveraging the Unified Cloud environment, customers can access AI capabilities while maintaining control over their codebase.