[WEBINAR] The New Normal: Dealing with the Reality of an Unsecure World

Capacity Planning

Definition - What does Capacity Planning mean?

Capacity planning is a process through which the procurement of IT resources, infrastructure and services are planned over a specific period of time. It is an IT management practice to predict and forecast the future requirements of an enterprise IT environment and its associated essential entities/services/components.

Techopedia explains Capacity Planning

Capacity planning is a systematic approach to planning for future IT resources based on current operations, demand and growth. Typically, capacity planning collects the computing capacity of the current environment and employs statistical and analytical tools to measure it against future requirements. It helps IT managers and administrators add up IT resources when they are deemed necessary. These IT resources can include hardware, software, storage, networks, physical space and IT staff. The primary objective of capacity planning is to ensure that the planned IT resources are added to the system not earlier or later than actual demand.

Techopedia Deals

Connect with us

Techopedia on Linkedin
Techopedia on Linkedin
"Techopedia" on Twitter

Sign up for Techopedia's Free Newsletter!

Email Newsletter

Join thousands of others with our weekly newsletter

Free Whitepaper: The Path to Hybrid Cloud
Free Whitepaper: The Path to Hybrid Cloud:
The Path to Hybrid Cloud: Intelligent Bursting To Amazon Web Services & Microsoft Azure
Free E-Book: Public Cloud Guide
Free E-Book: Public Cloud Guide:
This white paper is for leaders of Operations, Engineering, or Infrastructure teams who are creating or executing an IT roadmap.
Free Tool: Virtual Health Monitor
Free Tool: Virtual Health Monitor:
Virtual Health Monitor is a free virtualization monitoring and reporting tool for VMware, Hyper-V, RHEV, and XenServer environments.
Free 30 Day Trial – Turbonomic
Free 30 Day Trial – Turbonomic:
Turbonomic delivers an autonomic platform where virtual and cloud environments self-manage in real-time to assure application performance.