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Java App Modernization for Openshift

Learn more about refactoring monolithic Java applications into microservices for Red Hat Openshift. Migrate and modernize JEE, Spring, WebLogic, WebSphere apps and more:

  • Transform Java apps for hybrid cloud deployment
  • Use Openshift Kubernetes, service mesh, developer services
  • Modernize your most important applications on Openshift

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Video Transcript

By 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 Red Hat’s migration solutions.

A smaller percentage will be refracted and an even smaller subset is completely rewritten.

The challenge with a lift and shift approach is as enterprises are unable to realize the full benefits of the cloud, unless they truly modernize these applications, which then allows them to increase elasticity, improve engineering velocity and reduce costs.

While there are some temporary performance and DevOps benefits gained by putting a monolithic app into a container, one has to transform and refactor these monoliths into micro services to maximize the value of the cloud.

The problem is out to date. Refactoring has been very difficult, without automation technologies to accelerate this transformation, teams facing possible barriers of time, cost, risk and complexity.

This is where a V function comes in. Ours can complement the lift and shift approach.

The function disrupts the economics of refactoring, thereby increasing the percentage of apps that can be reflected by an order of magnitude by accelerating times and markets by 15x, reducing costs by at least 4x and significantly reducing complexity and risk.

The function is the only platform for developers and architects that intelligently and automatically transforms complex monolithic Java apps into micro services.

By combining dynamic analysis, static analysis, data science and automation V function analyzes your entire application state and then delivers a scalable, repeatable factory model purpose built for cloud native modernization.

The V function platform has three phases, the learning and assessment phase, where the entire application state is learned and assessed through a combination of dynamic agent assessment and static analysis of the vineries.

There’s automatic process yields data driven categorization of which apps are best suited for refactoring and how the function will refactor the analysis and automation phase where the architect interacts with the V function platform to refine and finalize the micro services architecture and the service extraction phase where the V function platform automatically extracts the code creates a project for each of the micro services with well defined restful API’s.

At this stage, these micro services can be deployed to any cloud using the extensive Red Hat’s products portfolio, including replatforming to J. Boss or wild phi, and deploying them using technologies like OpenShift three scale API Management stack Croc security and others. Red Hat’s application migration toolkit analysis works together with V function automatic assessments for complete migration and modernization coverage.

V function assessments are extremely actionable, and can directly lead the actual refactoring process.

With a click of a button. The user moves from assessment to refactoring with V function, and V function. Dashboards make it easy to manage and scale to hundreds of applications.

Technology leaders can now evaluate the cost of technical debt, determine what to modernize first, and then take action – all in one platform.