Accelerate innovation with AI for app modernization
CIOs and other technology innovators are boldly leading their companies through change during this unprecedented time. because it leaders make their journey to the cloud and prepare their business for the longer term, greater application modernization and agility is required to satisfy these new marketplace realities – now quite ever.
With deep roots in AI and hybrid multi-cloud technologies, IBM is totally reimagining how clients can approach application modernization with the rollout of the latest AI capabilities like the Accelerator for Application Modernization with AI. This accelerator is meant to assist clients to reduce modernization efforts and costs dramatically by using advanced AI capabilities developed by IBM Research. It includes a series of tools for optimization, including analysis and containerization, microservices recommendations and continuous, guided feedback, and AI learning.
The power of AI for application modernization
As IT leaders start their journey to hybrid multi-cloud, they realize that advanced technologies like automation and AI are key to assist reduce IT costs and prop up business continuity. Thus far, most businesses have moved only their simpler workloads with lower complexity to cloud – and are battling the daunting task of modernizing most of their mission-critical applications due to incompatibility with cloud-native architectural principles. These applications span generations of software technologies, even decades — and contain many lines of code with their property (IP) and expertise locked in them.
That’s where the new accelerator comes in; it automates resource-intensive modernization tasks and provides explainable AI capability with reasoning to guide decisions and assist enterprises with speeding modernization. Teams can unlock core applications and fuel cloud-native development. Let’s take a better check out the accelerator tools with advising and building capabilities:
Modernization Workflow Orchestrator (MWO): Helps determine the simplest transformation paths for an application in an automatic manner, and recommends and orchestrates the tool-assisted journeys required for migration or modernization. MWO continuously learns from engagement feedback and therefore the evolving technology landscape, and reacts to changing priorities in application modernization programs. It’s like GPS for app modernization. It plots the simplest path for optimization supported the technology with AI-planning technology.
Application Containerization Advisor: Simplifies the analysis portion of modernization and assists enterprises with making stronger containerization recommendations; consider this because the evaluation phase that recommends if an application is, or can transform into a cloud-ready application. At the core, it’s about taking incompatible apps and reworking them into something that’s cloud-ready.
This is a machine-learning, model-based research asset, powered by IBM Watson to work out the feasibility of containerization for the appliance portfolio being analyzed. The tool helps reduce the time required to conduct advisory stages by up to 50 percent.
Candidate Microservices Advisor: Rapidly identifies potential microservices from legacy applications that run on traditional distributed systems or mainframes. The tool uses continuous learning and feedback to supply increasingly precise recommendations for applied candidates.
Essentially, it greatly simplifies and reduces end-to-end microservices development effort by optimizing and automating the labor-intensive and time-consuming process of understanding and interpreting legacy code – especially important as many of the developers who wrote the code initially are not any longer available. This tool is powered by breakthrough AI technology that understands the code, its context of business rules and data dependencies, and recommends the optimal set of microservices to modernize legacy applications.
Take a recent use case with a car manufacturer. Using the microservices advisor technology, we analyzed over 1,000,000 lines of code built with several generations of Java technology; the tool automatically recommended a group of 26 microservices, shortening the execution time of the project from quite a year to but a month—an order of magnitude improvement.
Flexible app modernization
Red Hat OpenShift provides IT leaders the pliability to modernize applications and help enable their workloads to run flexibly in any open hybrid multi-cloud environment.
Lastly, additionally, to help IT leaders compress efforts and costs, application modernization is ultimately about getting the journey to cloud right the primary time, and within the most de-risked and optimized manner, while ensuring that the target state is scalable and versatile enough to support evolving business needs.