Analyst Reports & White Papers

Analyst Reports


EMA Reviews CiRBA Version 8 - Intelligently Placing Workloads and Balancing Capacity

This EMA Impact Brief reviews the capabilities of CiRBA 8 within the context of today's discussions on cloud and software defined environments.

"The fact that none of today's top cloud platforms offer much guidance regarding workload placement and rebalancing, combined with the new, much more developer centric data center paradigm, demonstrates the importance of capacity optimization software, such as CiRBA."

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EMA Vendor to Watch: CiRBA

CiRBA Recognized for Capacity Management Enabling Maximum Efficiency in Cloud Infrastructure

"CiRBA solves the core virtualization and cloud challenge of where to most efficiently place application workloads without sacrificing SLA-compliance."

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White papers for Transformation Planning

Transformational Analytics: Virtualizing IT Environments

The overwhelming complexity of the modern data center compounds the problem of how to safely virtualize IT environments. The subtleties of many environments are simply beyond the grasp of the human mind, and current systems management tools are not designed to aggregate information in a way that would alleviate this. Hence Data Center Intelligence, purpose-built software designed to pull together the technical, business and utilization data required to analyze and manage the transformation and operation of IT environments.

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Advanced Workload Analysis Techniques

This paper outlines how to analyze utilization curves in virtual IT environments in order to go beyond simplistic sizing approaches and understand true workload requirements and patterns.

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White papers for Infrastructure Optimization & Risk Reduction

Workload Routing & Reservation:
5 Reasons Why It Is Critical To Virtual & Cloud Operation

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.

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Leveraging Advanced Analytics for Capacity Control in Virtualized AIX Infrastructure

IBM's PowerVM and AIX are feature-rich, complex platforms that organizations leverage for mission-critical applications. However, most organizations can't fully utilize the capabilities of these platforms because of the sheer complexity of managing them, a lack of management tools and the need to minimize performance and capacity risk. This white paper discusses why capacity control solutions are essential for managing resources in virtualized AIX infrastructures.

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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.

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: Maximizing Infrastructure Efficiency through Strategic Workload Placements

This is not a paper on disk defrag. Although conceptually similar, Server Capacity Defrag refers to an approach to server optimization through strategic workload placement to maximize VM density on hosts. This paper outlines how to leverage analytics to match workloads together to maximize the use of available infrastructure, enabling users to safely increase density and fit more workloads into environments.

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Analytics for Internal Cloud Management

This whitepaper outlines how CiRBA analytics enables organizations to evaluate and plan the most appropriate use of Internal and External Cloud Computing options alongside more traditional physical or virtual infrastructure to determine the best place infrastructure for workloads.

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CiRBA © 2014 CiRBA Inc. All Rights Reserved.
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