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Data center return on investment – which is measured by time to cost savings, time to revenue, time to break even, etc. – has proven more elusive than expected. But that doesn’t mean it isn’t attainable. To understand the genesis of the bad and ugly parts of data center ROI, we need to recognize the good parts and appreciate why so many companies are putting their faith in new and unfamiliar technologies.
Virtualization is an umbrella term that continues to evolve to include many different types that are used in many different ways in production environments. Originally virtualization was done by writing software and firmware code for physical equipment so that the physical equipment could run multiple jobs at once. With the success of VMware and its virtualization of x86 hardware, the term virtualization has grown to include not just virtualizing servers, but whole new areas of IT. This article is going to look at the origins of virtualization and how some of the historical development has spurred on today's virtualization. In addition, we will discuss different types of virtualization that are being utilized in the marketplace today and a listing of some of the leading vendors.
There is a wide-range of services available in GCP ranging from Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) to completely managed Software-as-a-Service (SaaS). In the first part of this series, we will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.
This article defines many of the most commonly used terms in the virtualization vocabulary.
In 2013, Cisco released their Software Defined Networking (SDN) solution for the data center known as Cisco Application Centric Infrastructure (ACI). For many years, the networking industry has been asking for an approach to configuring networking devices more efficiently than having to individually configure each and every router and switch.
Whether you are just getting started in business analysis or want to gain a better understanding of certain aspects of business analysis, we have compiled a list of frequently used terms to help you get started.
Modern quality management and project management are complementary. They both emphasize customer satisfaction and the underlying belief that quality leads to customer satisfaction. The main objective in quality management is making sure that the project meets the needs it was originally created to meet—nothing more, nothing less. In other words, to ensure quality, you must meet the needs of the stakeholder.
This webinar focuses on assisting leaders who are determining whether Agile is right for their organization. In one hour, we will take you from the basic concepts of Agile methodology to understanding the process and what your role is as a leader. You will learn the challenges and benefits and how an Agile culture can fuel your teams and provide value for your customers faster.
This paper is a high level, moderately technical understanding of Hyper-Converged Infrastructures. IT managers, data center architects, and administrators alike may find this information helpful in their pursuit to simplify the data center and improve application performance.
The question of how a project manager working in a functional or matrix organizational structure gets team members to perform is asked in almost every project management class I have taught.