Effective Capacity Management with Modeling and Simulation

In this competitive marketplace, businesses seeking to maximize profitable outcomes need to ensure their information technology (IT) systems are robust in order to deliver uninterrupted application availability. This is significant for enterprises as high performance of business appli cations is an underlying driver of business growth. Accordingly, the top priority for system administrators is to maintain the health of their servers in order to meet stringent application performance Service Level Agreements (SLAs). However, several organizations are suffering due to a reactive approach to monitoring servers and applications only in the production phase. Thus, performance issues can be addressed only after they have occurred, often impacting operations and business. To address this challenge, organizations need performance testing to detect issues before the production phase in the Systems Development Lifecycle (SDLC). However, to be effective, testing needs to be performed continuously and should consider changes in workload and performance owing to business growth and transitions. Organizations need a proactive approach that can deliver a timely and holistic view of an application’s performance, thereby mitigating instances of application failure and overcoming performance issues and server downtimes. This paper discusses such a proactive approach that enables organizations to benefit from predictive and continuous performance and capacity management of their applications and infrastructure.