Businesses are seeking to benefit from every customer interaction with a real-time personalised experience across their marketing, customer servicing, fraud, and business operations teams. At the heart of these efforts is the modern customer engagement hub (CEH), which uses artificial intelligence (AI) to react to events in real time, fine-tuning each customer’s experience for every interaction with the business. Events, customer channels, and the ability to hyper-personalise the customer experience are rapidly increasing.
Open source technologies offer businesses the ability to quickly take ownership of their customer engagement, enabling faster innovation and
greater competitive differentiation, improved digital customer retention, and increased…
During my recent conversation with CIOs, the most common concern is how they can save cloud resources which can give them cost benefits when running applications in containers and Kubernetes. While Spring Boot has long been the de-facto Java framework for cloud native development, but it is also true that the performance benefits provided by a Kubernetes native Java framework is also something which is hard to ignore.
So this article gives you an overview of Quarkus and will help you better understand the problems which Quarkus solve and the reason it’s gaining popularity among the organisations today.
Java Bloatedness Problem
Java continues…
In the Part 1 of this blog post I have covered Red Hat Openshift Service Mesh components and architecture in detail. In this blog post I will brief you how to
- Install Service Mesh on Red Hat Openshift using operators
- Deploying microservices on Openshift
- Configure Dynamic Routing with Service Mesh
- Securing services with Service Mesh and
- Observe services within the Service Mesh with Kiali
Prerequisites
Before you start with the instaallation of Service Mesh on Red Hat Openshift, you would need to ensure that following prerequisites have been completed.
Organisations as part of their digital transformation journey are breaking down their large monolithic applications into smaller services a.k.a microservices which they can build, deploy, run and scale independently.
But the challenge is that as the number of microservices increases in the system, the communication between these micro services becomes increasingly complex and it becomes harder and harder to understand and manage them.
Mohit Aggarwal
Senior Specialist Solution Architect @ Red Hat
