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Showing 1 - 5 of 5 white papers, page 1 of 1.
EMA Reviews - Software-Defined Infrastructure Control:  The Key to Empowering the SDDC
Topics: SDDC, cirba, EMA
As enterprises strive to achieve more effective, efficient, and agile operations, they are increasingly adopting processes that enable a Software-Defined Data Center (SDDC). However, in many cases, increased complexity in current IT environments, processes, and cultures has substantially impeded the organization's ability to complete this transition. Software-Defined Infrastructure Control (SDIC) provides the critical infrastructure visibility and intelligence necessary to optimally align data c
As enterprises strive to achieve more effective, efficient, and agile operations, they are increasingly adopting processes that enable a Software-Defined Data Center (SDDC). However, in many cases, increased complexity in current IT environments, processes, and cultures has substantially impeded the organization's ability to complete this transition. Software-Defined Infrastructure Control (SDIC) provides the critical infrastructure visibility and intelligence necessary to optimally align data center capabilities and resources with application demands and their specific requirements.
Workload Routing & Reservation:  5 Reasons Why It Is Critical To Virtual & Cloud Operation
Topics: cirba
When observing the current generation virtual and internal cloud environments, it appears that the primary planning and management tasks have also made the transition to purpose-built software solutions. But when you dig in a little deeper, there is one area that is still shamefully behind: the mechanism to determine what infrastructure to host workloads on is still in the stone ages. The ability to understand the complete set of deployed infrastructure, quantify and qualify the hosting capabili
When observing the current generation virtual and internal cloud environments, it appears that the primary planning and management tasks have also made the transition to purpose-built software solutions. But when you dig in a little deeper, there is one area that is still shamefully behind: the mechanism to determine what infrastructure to host workloads on is still in the stone ages. The ability to understand the complete set of deployed infrastructure, quantify and qualify the hosting capabilities of each environment, and to make informed decisions regarding where to host new applications and workloads, is still the realm of spreadsheets and best guesses.

This paper identifies five reasons why the entire process of workload routing and capacity reservation must make the transition to become a core, automated component of IT planning and management.

Optimizing Capacity Forecasting Processes with a Capacity Reservations System for IT
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.

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.

Server Capacity Defrag
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.

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.

IDC: Cirba Targets Software-Defined Infrastructure Control with Workload-Aware Predictive Analytics
This IDC vendor profile analyzes Cirba’s Software-Defined Infrastructure Control with workload aware predictive analytics. “Customers interviewed by IDC credit Cirba with helping them substantially reduce infrastructure and software licensing costs by improving the density of their environments without compromising application and workload performance.”

This IDC vendor profile analyzes Cirba’s Software-Defined Infrastructure Control with workload aware predictive analytics.

“Customers interviewed by IDC credit Cirba with helping them substantially reduce infrastructure and software licensing costs by improving the density of their environments without compromising application and workload performance.”