C24 Partners with Azul to Offer Next-Gen In-Memory FpML Storage Solution

Azul Systems, provider of solutions for financial firms to develop and deploy Java-based apps, has announced it is partnering with C24 Technologies, a financial services messaging and integration solutions company. Under the arrangement, the two firms are making available an in-memory Financial Products Markup Language (FpML) which combines Azul System’s Zing runtime for Java product, and C24’s message compaction technology.

For end users, the FpML will allow them to develop apps which require less storage needs, which according to Azul, could cut memory hardware requirements by up to 10X. As explained to Forex Forex Foreign exchange or forex is the act of converting one nation’s currency into another nation’s currency (that possesses a different currency); for example, the converting of British Pounds into US Dollars, and vice versa. The exchange of currencies can be done over a physical counter, such as at a Bureau de Change, or over the internet via broker platforms, where currency speculation takes place, known as forex trading.The foreign exchange market, by its very nature, is the world’s largest tradi Foreign exchange or forex is the act of converting one nation’s currency into another nation’s currency (that possesses a different currency); for example, the converting of British Pounds into US Dollars, and vice versa. The exchange of currencies can be done over a physical counter, such as at a Bureau de Change, or over the internet via broker platforms, where currency speculation takes place, known as forex trading.The foreign exchange market, by its very nature, is the world’s largest tradi Read this Term Magnates by a representative from Azul Systems, there are two methods which can benefit customers of the FpML product; increasing the capacity and performance of existing infrastructure and/or reducing infrastructure costs.

In terms of reducing infrastructure costs, the representative explained, “Perhaps you have an internal infrastructure with an internal costing model for virtualized instances of machines based on per GB of RAM at an annual fee per GB of $500 per GB per annum. And you need a 2 TB in-memory grid/cache deployment, then the costs are $1,000,000 per annum. Again by simply reducing the memory footprint requirements by 10 times, this is reduced to $100,000 per annum, before additional benefits.”

Commenting in a joint public statement, John Davies, CTO and Co-Founder of C24 said, “A CTO of a major bank called C24’s SDOs a ‘game changer’. We can provide over an order of magnitude better performance on most caching technology and make SSDs work at RAM speeds. But without technology like Zing, the first bottleneck would be the JVM’s garbage collection. We’ve seen our SDOs run on Zing at speeds that would make any C/C++ programmer proud.”