Infrastructure Capacity Planning and App Performance
Can you adequately support and anticipate application workloads, especially as part of website operations? Do you know when to obtain new capacity and what type it should be? Resource underestimation can cause unresponsive sites, infrastructure shortages and loss of revenue, while overestimation can lead to unused resources and increased costs.
IT capacity must match customer business needs, and capacity management methods and tools predict production needed for applications. However, capacity planning is underutilized, fragmented and dependent on unsophisticated or homegrown methods and tools. Organizations are not performing what-if analysis to determine the effect of a network changes, or detecting trends to understand future upgrade requirements.
By bringing proactive capacity planning to the fore, and ensuring visibility of application characteristics, demand and resource utilization, applications can be right-sized and future capacity needs be predicted.
Capacity planning brings together required business services, current service delivery operations and the IT infrastructure. The goal is to ensure that IT component performance is monitored and measured, and that collected data is documented, analyzed and reported. In companies with mature capacity planning capabilities, planning occurs on a monthly or continuous basis, and keeps pace with application environments with constant changes and dynamic demand.
Many organizations do not use capacity management approaches and tools, and when they do, they may concentrate more on infrastructure utilization than on application performance, and use methods that rely too much on historical data.
The advent of heavy reliance on third-party services makes managing web performance challenging because of multifaceted application interactions, and sky-high user expectations for user experience and fast response. Inadequate performance can frequently be traced to increasing service demands (including spikes as well as evolutionary growth). Proactive management of application performance to anticipate capacity requirements is needed on an ongoing basis.
Application Performance and Capacity Management Combined
Rather than relying on guesswork to predict future capacity, use real application performance data and a reliable capacity planning method, services, and dedicated teams. This combination of processes, people and automation can mitigate risks, ensure quality of service, right-size applications, reduce underutilization, and prevent SLA violations due to capacity limitations.
This approach allows for early-warning and a better ability to detect problems, for example a server running at a high utilization rate. For that example situation, “what if?” scenarios can be run so that development teams can analyze workloads, simulate load patterns, and arrive at a solution before customers become dissatisfied.
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