With two decades of experience in IDE and database tools development, Markus is a dedicated advocate for Java. As CEO of MicroStream, he drives the development of EclipseStore, Eclipse Serializer, and RapidClipse IDE – innovative open-source projects shaping the future of Java. Beyond his technical role, Markus is a driving force in the Java community, serving as editor-in-chief of JAVAPRO Magazine and co-organizing the Java community conference JCON EUROPE. His commitment to Java is evident in his numerous contributions to the industry, from speaking at conferences to mentoring developers. A passionate advocate for open source, Markus' company is a member and sponsor of the Micronaut Foundation and the Eclipse Foundation. He believes in giving back to the Java community by contributing new innovations and supporting open-source projects.
Modern software systems must process tons of data and must provide low latency responsiveness to be able to compete. We've known for a long time that traditional databases cannot keep pace. In-memory computing is incredibly faster. Therefore, in-memory concepts have been added at every nook and cranny. However, is it enough just to use some in-memory computing? Why there are so many different in-memory solutions? Isn't it sufficient just using a cache? Are there pitfalls? When should I use a distributed cache? Is an in-memory database the better approach? What actually is an in-memory data grid? How does an in-memory database work? In this session, you learn the basics and get a better overview to make a decision that fits your project and team.
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