The Azul Solution - Eliminating Traditional Java Barriers
Azul’s elastic Java platform eliminates traditional Java™ deployment barriers and provides unparalleled compute and memory resources for throughput-intensive and QoS-sensitive Java applications. By enabling organizations to dramatically simplify deployments, improve servers utilization and increase capacities with predictable response times, Azul can dramatically improve the Return on Investment (ROI) of your application while lowering operating costs over traditional deployment models.
With Azul Java virtualization, each application is able to scale far beyond the limits of its physical server. Azul allows an application to tap the full resources of one or more physical servers, seamlessly and elastically. When load demands, each virtual appliance can dynamically access additional resources to ensure fast response times and provide unprecedented scalability.
As usage of your portal has grown, the traditional method of scaling up or out to meet demand is no longer cost effective and has led to a more complex and unmanageable infrastructure that still does not scale adequately. In addition, application response times have become unpredictable and availability has faltered under expected loads, causing lost of revenue and loyalty as well as an increase in support costs.
Large transaction intensive applications, such trading applications and online portals, face new and daunting challenges that were inconceivable only a few years ago. These application must scale predictably to support very large transaction volumes and manage even larger data sets, while keeping costs and complexity under control. Performance, scalability, availability, and response time levels that were once needed only by the largest airline reservation systems or automated teller machine networks, are now routine requirements for a new class of Enterprise Java applications.
Server sprawl puts tremendous pressure on enterprise datacenters. The huge growth of computing requirements over the past decade has led enterprises to increase their installed server base dramatically, creating a complex infrastructure that is costly to manage and is consuming ever more power, cooling, and datacenter space. This problem is growing exponentially over time, and leading CIOs have made it one of their top priorities to consolidate servers and contain the growth in datacenter power and cooling requirements.
