Increasing demands on IT are forcing organizations to rethink their data center options. For many organizations, that means turning to the flexibility afforded them by outsourced...
Companies that do not have sufficient in-house expertise to either deploy or maintain an IaaS cloud should turn to Managed Service Providers (MSPs) to accelerate the planning,...
This paper breaks down the challenges that often prevent the cloud from delivering the fast, flexible and affordable infrastructure companies seek - and then details the secret to...
According to Forrester, "Google is setting a new price floor on email and archiving costs." (Should Your Email Live in the Cloud? Jan 2009) Download the independent research report comparing the costs of email from Google and other providers.
Just what is cloud computing anyway? Skeptics might say it is nothing but industry hyperbole, visionaries might say it is the future of IT. In reality, both statements are true-cloud computing has been embellished by the tech industry, but it does hold real potential for new types of on--demand dynamic IT services. This paper seeks to clarify the definition of cloud computing, identify how far along users are in terms of cloud deployment, and examine the role of the network in the cloud computing model.
Learn how Southwestern/Great American has successfully run their SAP ERP on VMware solutions for several years. It all started when the company decided to transition its IT systems from a dual environment in which its SAP ERP ran off of a legacy IBM AS/400, while most of the company's other applications were running on Windows-based hardware. Southwestern/Great American chose to swap this dual environment for a leaner infrastructure based on VMware ESX and IBM blade servers with Intel Xeon processors that could run both SAP ERP and its Windows applications.
Virtualization has evolved rapidly since it first began to be used on x86 servers in 2003, mainly for test and development. By 2007, the second generation, Virtualization 2.0, was under way, and the focus was consolidating production applications. Today, we are transitioning to the third era of virtualization deployment (3.0), which is taking on cloudlike attributes for highly virtualized and automatically managed internal deployments. The transition to adopting cloud-like deployments shifts the focus from early capex savings drivers to transforming IT into a service and delivering operational efficiencies. Crucial to the success of this transition to the cloud computing deployment model is the inclusion of tier 1 applications, the most complex and often business critical in nature to an enterprise. This IDC white paper includes two case studies and a sidebar highlighting the experiences of three enterprises with virtualizing their tier 1 applications, which include Oracle and Microsoft SQL databases and a Microsoft Exchange email system.
This Taneja Group whitepaper looks at the potential promises of storage in the cloud that are most attractive to the enterprise. It examines how enterprises are storing data today, and identifies five fundamental characteristics that an enterprise should look for in a cloud storage offering.
Many IT administrators have already learned the hard way that managing the performance and availability of services built on virtualization technologies can be difficult, if not impossible at times. All too often, early adopters of virtualization have struggled with limited technology features and stability constraints, while learning new ways to effectively manage capacity requirements. Fortunately, some platforms now offer clustering solutions that are mature enough to automate the balancing of workloads across physical resources. When combined with disciplined capacity planning and sound deployment configurations, it is possible to achieve fast, scalable, and highly available IT services using virtualization platforms.
This white paper describes how to set up not just a simple private cloud, but a 'cloud of clouds' or 'multi-cloud', which is a computing environment that itself consists of separate virtual data centers or individual computing clouds (which could be internal or external/public) - all of which need to be managed as part of a larger environment.
This ROI case study quantifies the benefits of a private cloud based on Intel® Xeon® 5500 processors and Univa cloud software. Results include: 32% improvement in application performance; 57% hardware reduction; 10x bandwidth improvement; 65% power savings; 30% app license savings; and much more.
This study analyzes results from running 5 user applications and 9 lab benchmarks in a Univa-Intel private cloud environment. The startling results show minimal application slowdown with several CPU and memory intensive applications actually running faster in a VM environment.
The $3 billion Independent Bank of Michigan unleashed a potent combination of server, desktop and application virtualization. The result is a radically streamlined IT infrastructure that is not only less expensive to run, but also is more flexible and agile, allowing the bank to keep up with the ever-shifting dynamics of business today.