Yashwanth Maheshwaram

Announcing the General Availability of Red Hat Enterprise Linux AI (RHEL AI)

Train and deploy an AI model using OpenShift AI, then integrate it into an application running on OpenShift.

Understand how to breakdown a monolith into Quarkus based microservices

Using API Management for applications during modernization

Rehosting, a cornerstone in the evolution of software development and deployment, has traditionally enabled the concurrent operation of multiple operating systems and applications on the same physical hardware. This approach, often employed through virtual machines (VMs), enhances efficiency, scalability, and resource utilization.

Explores how Red Hat OpenShift technologies can aid the transition from monolith to microservices, simplifying the process and ensuring a robust and secure application.

Data refactoring unlocks the potential for adaptable, resilient applications. Consider these techniques when migrating monolithic applications to microservices.

Developers frequently work with monolithic applications. However, the popularity of these monolithic applications has waned due to their lack of flexibility. Scaling a specific component requires scaling the entire application. Transitioning to a microservice architecture, with modular, independently scalable units addresses these challenges and is well-suited for cloud environments. This article focuses on moving a monolithic application, exemplified by a Java™-based e-commerce app called Pedal, to the cloud, offering guidance for this complex task.