Cloud transformation is about reimagining how technology supports your business strategy, not just relocating IT systems.

In practice, it means:

• Starting with business goals – clarifying what you want to achieve: better agility, faster time to market, stronger security and compliance, cost optimization, or AI-driven innovation.
• Identifying key business domains – deciding which parts of your estate (applications, data platforms, processes) will create the most value if they move to a cloud-first model.
• Building a strategy and roadmap – defining which workloads to move, modernize, retire, or keep on premises, and in what order.

Modernization is a core part of this. It’s a continuous cycle of assessment, planning, execution, and maintenance that helps your applications:

• Use cloud-native capabilities (e.g., microservices, serverless, managed databases).
• Integrate AI more easily.
• Improve scalability, agility, security, and compliance.

Many organizations now recognize that outdated technology is slowing progress and innovation. By moving to a cloud-first, AI-ready estate on platforms like Microsoft Azure, you can:

• Adapt faster to market changes and customer needs.
• Launch new business models more quickly.
• Shift from large capital expenditures to a more flexible, pay-as-you-go cost model.

Ultimately, cloud transformation helps you reshape how your business operates so technology becomes a direct enabler of growth and innovation, rather than a constraint.

The six Rs provide a practical framework to decide how to handle each application as you migrate and modernize your estate on Azure. Different workloads need different approaches, and you can mix strategies across your portfolio.

Here’s how the six Rs break down:

1. Rehost
   Move applications “as is” from on-premises to the cloud, typically using virtual machines. With Azure VMware Solution (AVS), you can quickly rehost workloads in a familiar VMware environment on Azure, avoiding costly re-architecture while still gaining cloud scalability and resilience.
2. Replatform
   Make light optimizations (often to the platform or runtime) without changing core application code. For example, moving databases to managed Azure services to improve reliability and reduce operational overhead.
3. Refactor
   Modify internal code so the app can better use cloud-native features such as microservices, serverless computing, or cloud-specific APIs. This helps improve agility, scalability, and integration with AI services.
4. Rebuild
   Redesign and rebuild applications using modern development practices and cloud-native technologies. This is useful when existing apps can’t meet current or future business needs.
5. Retire
   Decommission obsolete or redundant applications. This reduces operational overhead, simplifies your IT landscape, and lowers costs.
6. Retain
   Keep certain applications on premises or in their current environment due to high migration costs, technical complexity, regulatory requirements, or tight legacy integrations.

Using the six Rs, you can:

• Prioritize which workloads move first.
• Balance quick wins (e.g., rehosting with AVS) with deeper modernization (refactor or rebuild).
• Decide what to retire or retain to keep your estate manageable and cost-effective.

This structured approach helps you streamline cloud transformation and align technical decisions with business outcomes on Azure.

Azure is designed to help you rethink how you use data and AI while maintaining strong security and cost discipline.

1. Unify data to enable AI at scale

• Migrating and modernizing data on Azure creates an integrated data estate that can power AI models, analytics, and inferencing.
• Fully managed databases (e.g., for Windows Server, Linux, MySQL, PostgreSQL) improve data management and governance.
• Robust privacy policies and practices prioritize user data protection and give you better control over how data is used.
• Azure works with tools like Microsoft Copilot Studio and GitHub Copilot so you can build everything from no-code AI apps to custom AI-powered solutions.

2. Security from code to cloud

• Azure provides built-in, multilayered protection across datacenters, infrastructure, and operations, including:
• Threat detection and continuous security assessment.
• Identity and access management.
• Encryption at rest and in transit.
• Network security controls.
• Support for Zero Trust principles means verification at every step, backed by regular audits and broad industry certifications.
• Microsoft Defender for Cloud adds security management and threat protection across hybrid and multicloud environments, helping security teams work more efficiently by continuously checking for misconfigurations and vulnerabilities.

3. Cost and performance management

• Azure lets you move from large, upfront capital expenditures to a pay-as-you-go model, so you only pay for what you use and can scale with business demand.
• Tools like Microsoft Cost Management give visibility into usage patterns, help forecast expenses, and support ongoing optimization.
• Azure Hybrid Benefit allows you to apply existing Windows Server and SQL Server licenses to cloud resources, which can drive meaningful savings on workloads, including Linux-based ones.
• With an Azure Consumption Commitment, you can receive discounts and additional incentives (such as free support and Azure credits) in exchange for committing to a certain level of Azure spend over a defined period.

By combining unified data, strong security, and flexible cost models, Azure helps you reshape how you deliver AI-enabled services—so you can innovate with confidence while keeping governance, risk, and spend under control.