Executive Summary

One of Canada’s leading providers of advisory and capital market services to corporations, governments and institutions runs a wide range of business-critical Java™ applications, including those to support its algorithmic trading operations, credit and risk analysis, as well as various types of ad-hoc queries and data mining operations. As a result, the company’s centralized datacenter operations need to operate on a 24/7 basis, with global operations integrated with the central datacenter.

Faced with increasing transaction volumes, more stringent reporting and analysis requirements, and strained IT resources, this Canadian bank needed a scalable trading and risk analysis platform to consistently meet SLA s goals and control datacenter costs.

This Canadian Bank turned to Azul Systems to help eliminate Java application performance issues, monitor and resolve concurrency bottlenecks, and reduce power, cooling and space costs of its datacenters.

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