Posted on July 3, 2020 by vladmihalcea
Introduction Welcome to a new issue of the High-Performance Java Persistence Newsletter in which we share articles, videos, workshops, and StackOverflow answers that are very relevant to any developer who interacts with a database system using Java.
Posted on June 19, 2020 by vladmihalcea
Introduction Welcome to a new issue of the High-Performance Java Persistence Newsletter in which we share articles, videos, workshops, and StackOverflow answers that are very relevant to any developer who interacts with a database system using Java.
Posted on June 5, 2020 by vladmihalcea
Introduction Welcome to a new issue of the High-Performance Java Persistence Newsletter in which we share articles, videos, workshops, and StackOverflow answers that are very relevant to any developer who interacts with a database system using Java.
Posted on May 22, 2020 by vladmihalcea
Introduction Welcome to a new issue of the High-Performance Java Persistence Newsletter in which we share articles, videos, workshops, and StackOverflow answers that are very relevant to any developer who interacts with a database system using Java.
Posted on May 8, 2020 by vladmihalcea
Introduction Welcome to a new issue of the High-Performance Java Persistence Newsletter in which we share articles, videos, workshops, and StackOverflow answers that are very relevant to any developer who interacts with a database system using Java.
Posted on April 24, 2020 by vladmihalcea
Introduction Welcome to a new issue of the High-Performance Java Persistence Newsletter in which we share articles, videos, workshops, and StackOverflow answers that are very relevant to any developer who interacts with a database system using Java.
Posted on November 25, 2014 by vladmihalcea
Peter Lawrey at IT Days I’ve just come back from a Java Performance Workshop held by Peter Lawrey at Cluj-Napoca IT Days. Peter Lawrey is a well-known Java StackOverflow user and the creator of Java Chronicle open-source library. Of Java and low latency Little’s Law defines concurrency as: To increase throughput we can either: increase server resources (scaling vertically or horizontally) decrease latency (improve performance) While enterprise applications are usually designed for scaling, trading systems focus on lowering latencies. As surprising as it may sound, most trading systems, I’ve heard of, are… Read More