Automate application refactoring with AI.

Today, only 20% of enterprise workloads are in Cloud, and they were predominately written for cloud architectures. This leaves 80% of legacy applications on-premises, waiting to be modernized for the cloud.

We know that the best way to modernize your business-critical application is to refactor it into microservices—this approach allows microservice to be independently enhanced and scaled, providing agility and improved speed of delivery. IBM’s novel AI technology automates the application refactoring with minimal risk and removes the need for any major rewrite.

Introducing IBM Mono2Micro

Application refactoring is the process of restructuring existing code without changing its external behavior and semantics. Currently, refactoring is usually done manually and is expensive, time-consuming, and error-prone.

We are excited to announce IBM Mono2Micro, which helps you accelerate this journey to cloud by automating the process of application refactoring with AI.

Mono2Micro is based on IBM Research technology that, when applied to the application code and runtime, traces reasons about application behavior, extracts the business logic, and identifies optimal microservice candidates. Microservice recommendations are automatically generated, while taking programming model and application data dependencies into account. The approach minimizes the risk of refactoring and any requirements for significant code rewrite thereby providing you with a huge ROI.

Business logic-based groupings

Mono2Micro analyzes runtime call traces in the context of the business functions they support, which exposes how classes interact, in what sequence, and at what frequency. The underlying artificial intelligence techniques—such as deep learning and machine learning—generate business logic-based class groupings of the runtime call traces to capture causality, functional similarity, and other temporal relations among classes and their methods.

Data dependency and natural seams-based grouping

Mono2Micro further augments the business logic-based groupings with data dependency analysis. It iteratively merges relevant groupings of classes with data dependencies to generate natural seams-based groupings. With these groupings, Mono2Micro minimizes the need to rewrite existing classes.

Overall, Mono2Micro provides a multifaceted view of your monolith-to-microservice refactoring. It can help you understand and arrive at informed and assured decisions on transforming your current applications.

Next steps

Learn more about Mono2Micro and modernizing your applications:

More from Artificial intelligence

IBM watsonx Platform: Compliance obligations to controls mapping

4 min read - US regulators including the Office of the Comptroller of the Currency (OCC), Securities and Exchange Commission (SEC), Federal Reserve Board (FRB) and others mandate financial services organizations to prove that laws, rules and regulations (LRRs) are covered across their risk governance framework. This oversight helps ensure a secure and sound control environment that aligns with the organization's risk tolerance and heightened regulatory standards. However, interpreting banking regulations can be complex and subjective, requiring expert judgment to determine applicability to specific…

How a company transformed employee HR experience with an AI assistant

3 min read - IBM Build Partner Inspire for Solutions Development is a regional consulting firm that provides enterprise IT solutions across the Middle East. Jad Haddad, Head of AI at Inspire for Solutions Development has embraced the IBM watsonx™ AI and data platform to enhance the HR experience for its 450 employees. Next-gen HR for a next-gen workforce As a new generation of digital natives enters the workforce, we are seeing new expectations around the employee experience. Gen Z employees prefer an HR…

Navigating the data deluge with robust data intelligence

3 min read - In the age of relentless digital progression, businesses stand on the brink of a data renaissance. The proliferation of digital devices and interactions has resulted in an unparalleled influx of data, which businesses must navigate with precision and strategy. Enterprises require more than just traditional data management; they need to harness the momentum of advanced data intelligence solutions to help ensure innovative prowess and maintain market dominance. The data conundrum: Managing the rise of data creation As we delve into…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters