Modernize Java Applications on AWS
Learn how vFunction refactors Java applications for AWS to migrate and modernize legacy apps for cloud native AWS services:
- Application migration complexity assessment
- Transform monolithic Java apps into microservices faster
- Leverage cloud for speed, agility, and modern development
Other Recommended Resources
Research Report: Why App Modernization Projects Fail
Italy’s Largest Bank Transforms Mission Critical Monoliths into Microservices
Analyst eBook: Application Modernization Patterns & Anti-Patterns
When formulating an application migration strategy, enterprises today follow these four approaches to application modernization. A small portion of their apps will be retired or replaced. While the majority are typically lifted and shifted to the cloud, either by re-hosting or re-platforming them using tools like AWS app to container. A smaller percentage will be refactored and an even smaller subset is completely rewritten.
While lifting and shifting yield some temporary performance and DevOps benefits gained by putting a monolithic app into a container, one has to transform and refactor these monoliths to microservices to maximize the value of the cloud. Without truly modernizing these applications, enterprises are less able to realize full cloud benefits, increase elasticity, improve engineering velocity, and significantly reduce costs.
The problem is that to date, refactoring has been very difficult without automation technologies to accelerate this transformation. Teams face impossible barriers of time, cost, risk, and complexity. This is where vFunction comes in and can complement the lift and shift approach. vFunction disrupts the economics of refactoring, thereby increasing the percentage of apps that can be refracted by an order of magnitude by accelerating time to market by 15x, reducing costs by at least 4x, and significantly reducing complexity and risk.
vFunction is the only platform for developers and architects that intelligently and automatically transforms complex monolithic Java apps into microservices. By combining dynamic analysis, static analysis, data science, and automation vFunction analyzes your entire application estate and then delivers a scalable, repeatable factory model purpose-built for cloud native modernization.
The vFunction platform has three phases. The learning and assessment phase, where the entire application estate is learned and assessed through a combination of dynamic agents assessments and static analysis of the binaries. This automatic process yields data-driven categorization and which apps are best suited for refactoring and how vFunction will refactor them. The analysis and automation phase, where the architect interacts with the vFunction platform to refine and finalize the microservices architecture. The service extraction phase, where the vFunction platform automatically extracts the code and creates a project for each of the microservices with well-defined restful API’s. At this stage, these microservices can be deployed onto any AWS containerized environment, be it on EC2, EKS, Lambda, or others. vFunction automatic assessments are extremely actionable since they are the only assessments that are directly tied to the actual refactoring. With a click of a button, the user moves from the assessments to the actual refactoring on the platform and vFunction dashboards make it easy to manage and scale to hundreds of applications.