Databaseless Data Processing with EclipseStore and WebSphere Liberty InstantOn

Track: JakartaEE
Abstract
More and more companies and organizations are using AI, ML, VR and big data in the cloud. 3 factors are most critical for all of them: high performance, low data storage costs, and simple, fast and cost-efficient implementation and maintenance. Traditional databases and persistence frameworks worked well so far, however for the beginning AI age they are too slow, implementing is complex, and databases are too expensive in the cloud. That's why many innovative companies such as online banks or gaming companies have built their individual high-performance systems with pure Java with high effort to meet their requirements. Now, with EclipseStore there is a leight-weight and easy to use framework. EclipseStore enables databaseless high-performance in-memory data processing for modern cloud-native Java applications and microservices. It lets you store any Java object graph of any size and complexity seamlessly into any cloud binary data storage. Users benefit from ultra-fast in-memory data processing, up to 1000x faster queries, up to 99% cloud database cost savings, and unrivaled simplicity. WebSphere Liberty InstantOn enables EclipseStore cluster nodes starting in milliseconds without the need for using GraalVM native images.
Markus Kett
Markus and his teams have been working on IDE tools for Java and database development, as well as various open-source projects for 20 years. Markus is CEO and co-founder of MicroStream, the company behind the Eclipse open-source projects EclipseStore, Eclipse Serializer, and RapidClipse IDE. He is also the editor-in-chief for the free JAVAPRO magazine in Germany and the founder and co-organizer of the Java community conference series JCON. He is an independent editor for several magazines, and a speaker at numerous international developer conferences, user groups, and meetups.
Emily Jiang
Emily Jiang is a Java Champion. She is Liberty Cloud Native Architect and Chief Advocate, Senior Technical Staff Member (STSM) in IBM, based at Hursley Lab in the UK. Emily is a MicroProfile guru and has been working on MicroProfile since 2016 and leads a number of specifications including MicroProfile Config and Fault Tolerance. She interacts with most of the other MicroProfile specifications. She is also active in Jakarta EE specifications. She is a co-lead in Jakarta Config and also a Jakarta Context and Dependency Injection (CDI) committer. At IBM, she leads the effort of implementing all of MicroProfile specifications on Open Liberty. She is passionate about MicroProfile and Jakarta EE. She regularly speaks at conferences, such as QCon, Code One, DevNexus, JAX London, Voxxed, Devoxx, EclipseCon, GeeCon, JFokus, etc. Connect with Emily on Twitter @emilyfhjiang LinkedIn (https://www.linkedin.com/in/emilyfhjiang).