Java resources for trading and execution participants in capital markets: sell-side, buy-side, exchanges and MTFs
How BIDS Trading Perfected Java-Based Block Trading
In this webinar, Brett Vasconcellos, Azul customer and CTO of BIDS Trading, discusses with Gil Tene, CTO of Azul, how he optimized their Java infrastructure to achieve phenomenal results.
Why choose Java for High-Frequency Trading application: Voice of Customer
In the world of High-Frequency Trading, automated applications process hundreds of millions of market signals every day and send back thousands of orders on various exchanges around the globe....
Azul Webinar: Managing Java System Capacity in Volatile Times
How rapidly changing levels of demand affect Java application system capacity and performance, specifically memory utilization, code performance, and speed of application warmup.
Why Low Latency is Critical and its effect on Application Performance
A lot has changed since Java and the JVM were created in the mid-1990s. The invention of Java solved an important problem that caused developers to spend enormous time coping... The post Why Low...
Coral Blocks and Azul Systems
Build and deploy Java-based low-latency applications faster with CoralBlocks and Azul Systems.
Data Science and Machine Learning. With Java?
Java is increasingly relevant to machine, deep, and reinforcement learning. Java developers need no longer be restricted to technical computing and statistical programming languages like Python and R.
Capital Markets Technology Brief
Azul Zing provides certainty of execution, guarantees throughput, and ensures predictable behavior in trading and data-intensive capital markets applications.
Azul Webinar: Better Java Microservices Architecture
Microservices are becoming the de facto architectural approach to developing new applications. Breaking up monolithic application functionality into smaller services that can be linked together has ma
Azul Webinar: Data Science and Machine Learning with Java
This webinar reviews data science and machine learning and how open source frameworks can be used to quickly develop powerful data science applications.
Better Java For Financial Services
Azul support Java workflows across all sectors and applications in Financial Services, including the Buy-Side, Sell-Side, Regulators, Exchanges, Insurers and Central Banks.