High Performant, Scalable Batch Processing with Spring Batch and Kubernetes


Duration: 25 mins
Madhusudhana Ganeshappa
Technical Architect, IG

A modern batch application must be able to take advantage of the unprecedented performance and scalable functionality of today’s containerized platform's such as Kubernetes. The results one should expect with such an approach is a more responsive and highly reliable system that is focused on improving higher throughput. Systems can easily grow from single unit instances into larger enterprise-wide deployments.

Join Madhu in for a short talk to look at how you can scale a spring batch application on Kubernetes using remote partitioning technique.

You may also be interested in

50 mins
Exploring Collectors: One of the Most Powerful Utility Class in the JDK

One of the most intriguing classes in the JDK is the Collectors utility class, with a collection of some highly...

25 mins
Under the Hood of Java Synchronization

What do you know about Java synchronization? Enough to be dangerous? It's said the more you know the better. In...

50 mins
Local Variable Type Inference: Friend or Foe?

Local variable type inference was introduced as a new Java language feature in Java SE 10. Gone are the days...

50 mins
Distilling Java Containers for Kubernetes

Three evolutionary ecosystems work well together Java, Containers, and Kubernetes. Past versions of Java were never designed to be “container aware”....

50 mins
Mutation Testing

Most developers are familiar with the concept of unit testing, and how this is useful to ensure validity of your...

50 mins
Deep Learning and Java

We do not usually think of Java when we think about modern Deep Learning systems. Syntactically and culturally it is...