Many organizations that use solid-state storage attribute their initial adoption of the technology to an attempt to solve performance challenges. In fact, previously conducted ESG research revealed that the majority of early solid-state storage users cited the alleviation of I/O bottlenecks caused specifically by the demands of server virtualization as an initial adoption driver.
Network security is a top area of investment for many organizations looking to build up their defenses against cyber-attacks. At the same time, software-defined networking (SDN) is maturing and solutions are becoming capable of supporting networking functionality. Will organizations leverage SDN as a platform to deliver network security services? What impact will this have on existing processes and organizational dynamics?
Comprised of server, storage, networking, and management components, integrated computing platforms offer an appealing alternative when deploying infrastructure to support virtual server/private cloud deployments. Touting benefits such as simplified management and faster provisioning, these platforms have garnered significant levels of adoption and interest, especially among organizations with increasingly large, complex, and virtualized IT environments.
Early server virtualization implementations were driven predominantly by consolidation and cost containment initiatives. However, organizations looking to extend beyond the core benefits of server virtualization are starting to transform their highly virtualized data centers into private cloud infrastructures. By harnessing advanced capabilities like elasticity, management automation, and usage-based tracking, organizations, especially those with larger and more sophisticated IT environments, are beginning to change the way in which IT delivers services.
Campus and wireless networks are becoming an increasingly critical component for organizations that want to ensure a solid user experience and drive business productivity. The proliferation of mobile wireless computing devices like smartphones and tablets, as well as the applications they are consuming with them, are creating significant challenges and forcing network teams to upgrade existing campus network infrastructure in order to accommodate these changes.
ESG research indicates that the corporate usage of public cloud computing in the form of cloud-based infrastructure services (i.e., IaaS), business applications (i.e., SaaS), and/or application development (i.e., PaaS) continues to grow. What are the profiles of the organizations at the forefront of the cloud adoption movement, how are these services being leveraged today, and what is their likely level of impact over a five-year horizon?
Much of the hype in networking is centered on software-defined networking (SDN), but how are organizations actually investing their IT budgets? And how will overall network spending fare in 2014 as compared with last year when a significant portion of respondents (42%) reported flat budgets? How does that compare by industry or age of company?
ESG research indicates that the corporate usage of public cloud computing continues to grow, including infrastructure (IaaS) and application development (PaaS) services. Being one of the first movers in these areas, it’s not surprising that Amazon Web Services is one of the most widely leveraged providers among current users, but how do these organizations view AWS as a long-term IT partner? And, perhaps more importantly, how do these trends vary by the age of organizations and the individual IT decision makers responsible for strategic direction?
One of the primary deterrents to most BC/DR plans is that recurring testing must occur in order to ensure preparedness for when calamity strikes and to prove compliance for those with regulatory mandates. But testing in general can be not only arduous due to the complexity of bringing replacement systems online, but also risky in that doing so without proper preparation carries the possibility of affecting the primary systems, which are actively serving users. This has historically led to infrequent or even non-existent recovery testing. How—if at all—do cloud-based disaster recovery services change this dynamic?
There has never been so much corporate data outside of the data center as there is now. It is due to the changing usage of endpoint devices, particularly by users in bring-your-own-device (BYOD) environments. Too often, IT tries to utilize complex legacy data center backup approaches to protect these modern endpoints, with the result being that endpoints and all of the corporate data residing in them are left unprotected. But it doesn’t have to be that way.