Capital Markets

Java resources for trading and execution participants in capital markets: sell-side, buy-side, exchanges and MTFs

53:09
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.
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Coral Blocks and Azul Systems

Build and deploy Java-based low-latency applications faster with CoralBlocks and Azul Systems.
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Read Technology Brief
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.
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Read White Paper
Capital Markets Technology Brief

Azul Zing provides certainty of execution, guarantees throughput, and ensures predictable behavior in trading and data-intensive capital markets applications.
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58:09
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
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Azul Zing

Azul Zing: the best JVM for Java workloads
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49:17
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.
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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.
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Capital Markets

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.

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 Zing

Azul Zing: the best JVM for Java workloads

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.