Virtually every area of human endeavour that involves the use of shared resources relies on a reservation system to manage the booking of these assets. Hotels, airlines, rental companies and even the smallest of restaurants rely on reservation systems to optimize the use of their assets and balance customer satisfaction with profitability. Or, as economists would say, strike a balance between supply and demand.
So how can a modern IT environment expect to operate effectively without having a functioning capacity reservation system? The simple answer is that it can't. With the rise of cloud computing, where resources are shared on a larger scale and capacity is commoditized, modeling future bookings and proper forecasting of demand is critical to the survival of IT. Not having proper systems in place leaves forecasting to trending and guesswork - a dangerous proposition that usually results in over-provisioning and excessive capacity.
Download this paper to learn how to manage the demand pipeline for new workload placements in order to improve the accuracy of capacity forecasting and increase agility in response to new workload placement requests.
This is not a paper on disk defrag. Although conceptually similar, it describes an entirely new approach to server optimization that performs a similar operation on the compute, memory and IO capacity of entire virtual and cloud environments.
Capacity defragmentation is a concept that is becoming increasingly important in the management of modern data centers. As virtualization increases its penetration into production environments, and as public and private clouds move to the forefront of the IT mindset, the ability to leverage this newly-found agility while at the same driving high efficiency (and low risk) is a real game changer. This white paper outlines how managers of IT environments make the transition from old-school capacity management to new-school efficiency management.
Tintri Analytics is designed from the ground up to support
resource planning. And like everything that Tintri does, Tintri Analytics is
VM-aware, which provides the critical link between storage metrics, VMs and
applications. Having the ability to ask “what-if” questions and see answers in
real time greatly simplifies resource planning.
This paper explains how you can use Tintri Analytics to
answer important resource planning questions:
can seem like a confusing topic for the uninitiated, but a little bit of
knowledge can go a long way. It is important to understand the basic concepts
of storage technologies, performance, and configuration before diving into more
this e-book, we’ll cover storage basics, storage performance and capacity,
forecasting and usage and storage best practices.