What is the App Modernization Guidance for Azure?

The App Modernization Guidance for Azure provides best practices for cloud architects, IT professionals, and business decision-makers. Application modernization is a technical and operational approach to transitioning your applications, processes, and data management practices, using the latest technologies and practices to ensure they remain relevant and valuable.

Using this guidance, you can:

• Make informed, cost-effective decisions about what and how to modernize.
• Holistically assess your IT portfolio and readiness.
• Weigh the impact and return on investment (ROI) of different strategies.
• Design a roadmap to AI adoption and innovation.
• Adopt best practices in a variety of scenarios, including hybrid and multicloud.

About this guide

AI is driving unprecedented change across every industry, but making the most of the opportunity requires the right tools and platforms. This guide describes an approach to application modernization that can help you accelerate AI and cloud-native development, effectively enhancing your agility, scalability, resilience, and ROI.

A holistic approach to application modernization is nuanced. Many considerations apply—time and budget; the range of available architectures, platforms, and services; organizational skill level and cloud-adoption maturity; security and compliance needs; technical and business readiness; where you want to start and land in the short term and in the long term.

This guide is designed to help you make decisions that generate the greatest ROI at each stage of your journey. Key decisions start at the application level, and this guidance provides an adaptation of the popular 6Rs of cloud migration (Rehost, Replatform, Refactor, Rebuild, Retire, Retain). The 6 Rs provide a systematic and strategic approach based on our work with organizations of all sizes and at all stages of application modernization.

Working at the pace and scale that works best for your organization, you can achieve sustained business value, harnessing the full potential of Azure offerings, including AI and low-code solutions.

Choosing an application modernization strategy on Azure

Application modernization is a roadmap to cloud infrastructure and services. Platform as a service (PaaS) is one of the most cost-effective ways to strategically shift resources to application innovation, rather than spending time managing application infrastructure. A modern application platform based on PaaS enables your developers to maximize the value each application can draw from a cloud environment.

Azure provides many pathways for modernizing a range of applications and frameworks—from .NET, Java, or Linux web apps based on PHP, Perl, Ruby on Rails, or Python to business-critical Oracle and SAP workloads. Maybe you want the scalability of containerization and microservices architectures, or high-volume transactional capabilities without the burden of managing infrastructure. This guide helps you decide which strategy is best for your situation.

When you modernize your applications, we recommend also modernizing your data infrastructure. Fully managed Azure data services reduce the complexity of database management so you can focus on deriving insights, make informed decisions, and extract more value from your data. You can then take advantage of AI integration through Microsoft Copilot, Microsoft Fabric, and other tools that help you accelerate time-to-market, deliver innovative experiences, and make data-driven decisions that drive growth and efficiency.

Driving continuous innovation with AI

AI continues to drive application modernization and PaaS adoption. Throughout this guide, you’ll find guidance for using AI to power innovative features, automate tasks, enhance user experiences, and close the skills gap for your engineers. The Azure AI application platform supports your current needs while scaling with your growth, so you remain competitive in an ever-evolving digital landscape.

The Azure AI application platform brings together trusted capabilities for modern development, based on Microsoft’s commitment to security, governance, compliance, and innovation.

The assessment and planning tools in this guidance can help you identify use cases and develop an AI strategy. For example, you can use AI to:

• Build intelligent applications. Infusing AI into applications transforms them into intelligent systems capable of learning, adapting, and evolving. AI-driven applications can analyze vast amounts of data in real-time, providing actionable insights that drive better decision-making.
• Enhance customer experiences. AI-powered applications can deliver personalized and engaging customer experiences. You can use machine learning algorithms to tailor your offerings to individual preferences, improving customer satisfaction and loyalty. Chatbots and virtual assistants, powered by natural language processing, provide instant support and enhance customer interactions.
• Drive operational efficiency and innovation. AI automates repetitive tasks, freeing up human resources to focus on higher-value activities. Automation is the key to increased productivity and operational efficiency. Furthermore, AI can help you uncover new opportunities, optimize existing processes, and build a culture of continuous innovation.

Next steps

Continue getting started and review the application modernization life cycle