Assessment of current data center infrastructure encompassing business and technical drivers
EdgeTeam helps you evolve your Data Center.
With the rise of big data, cloud computing, virtualization, and mobility, the traditional data center has been forced to evolve into more optimized, distributed, and scalable solutions. Let EdgeTeam help you with the transition of your Data Center.
What’s driving the Data Center evolution?
Applications are continuing to evolve from traditional client-server architectures to public, private, or hybrid cloud implementations. As these applications are developed, deployed, scaled up, and relocated, data center networks are struggling to keep pace because of complex architectural and operational support demands.
Big data refers to collections of data sets so large and complex that they become difficult to process using on-hand database management tools or traditional data processing applications. The challenges include the capture, curation, storage, search, sharing, transfer, analysis, and visualization of this data. The trend to these larger data sets is due to the additional information available from analysis of a single large set of related data. Big data allows correlations to be found to identify business trends, determine research quality, store extensive demographics, combat crime, and even determine real-time roadway traffic conditions.
Big data is difficult to work with using most relational database management systems and desktop statistics and visualization packages, requiring instead massively parallel software running on tens, hundreds, or even thousands of servers.
Cloud Computing is the result of evolution and adoption of existing technologies and paradigms. The goal of cloud computing is to allow users to take beneﬁt from all of these technologies, without the need for deep knowledge about or expertise with each one of them. The cloud aims to cut costs, and help the users focus on their core business instead of being impeded by IT obstacles.
Users face difficult business problems every day. Cloud computing adopts concepts from Service-oriented Architecture (SOA) that can help the user break these problems into services that can be integrated to provide a solution. Cloud computing provides all of its resources as services, and makes use of the well-established standards and best practices gained in the domain of SOA to allow global and easy access to cloud services in a standardized way.
Virtualization has been around for many years and is the way for IT organizations to maximize the use of compute, storage, and networking, as well as provide increasingly flexible means to access to those resources.
The main enabling technology for cloud computing is virtualization. Virtualization generalizes the physical infrastructure, which is the most rigid component, and makes it available as a soft component that is easy to use and manage. By doing so, virtualization provides the agility required to speed up IT operations, and reduces cost by increasing infrastructure utilization. On the other hand, autonomic computing automates the process through which the user can provision resources on-demand. By minimizing user involvement, automation speeds up the process and reduces the possibility of human errors.