Back in September, IBM and SUSE announced a partnership making SUSE Enterprise Linux available on IBM's Power8 based systems. Now it's Red Hat's turn. Is it time to consider a new platform?
Virtualization reaches from hand-held devices to the data center to the clouds. We examine the forces behind this expansion, the suppliers of the technology and the organizations using it.
Daniel Kusnetzky, a reformed software engineer and product manager, founded Kusnetzky Group LLC in 2006. He is responsible for research, publications, and operations. Mr. Kusnetzky has been involved with information technology since the late 1970s. Mr. Kusnetzky has been responsible for research operations at the 451 Group; corporate and marketing strategy for Open-Xchange; system software and virtualization research at IDC; and program and product management at Digital Equipment Corporation.; Today, Mr. Kusnetzky focuses on system software, virtualization technology and cloud computing. In his spare time, he's also the managing partner of Lux Sonus LLC, an investment firm.
Big Data tools are complex and there are many "moving parts" to install, tune and deploy. The installation of the hardware and software can require weeks of work and require expertise that is simply unavailable in the mid-market. BlueData believes it has the solution.
VoltDB's co-founder and chief strategy officer discusses the growing requirement for in-memory databases to address the demand to gather, analyze and make sense of operational, machine, social media and other types of data. Do you agree?
In the APM market, we're seeing a battle between best-of-breed, single-function products versus components of larger management frameworks. CA's APM is a part of its management framework and should be attractive to those using that framework.
Vendors often rely on the tactic to attack legacy systems and solutions in the hopes of replacing them with their own technology. Should enterprise decision makers listen to them?
Traveling during the holiday season is challenging enough. When problems arise, suppliers' customer service plans are put to the test. Let's consider two examples.
Samsung's mysterious security update service is still a mystery a month later.
Organizations are increasingly using parallel processing technology to address their high performance, technical computing or big data analysis requirements. Adaptive Computing has long believed that its Moab HPC Suite should be the parallel processing monitor of choice.
The internet of things could be very helpful to organizations or bury them under the weight of operational data from a herd of devices, their software, and their applications. Glassbeam believes its SCALAR is the tool that will make sense of it all.
Protecting data files through backup or mirroring procedures is an important, but mundane, part of enterprise IT life. Catalogic believes that its approach to this process could both make life easier for IT administrators and offer enterprises greater insight into its data and how it is being used.
Other performance monitoring and management tools tell administrators what problems occurred. Loggly claims that its tool can quickly tell them why the problems happened.
I enjoyed a quick conversation with Dell's Executive Director of Enterprise Strategy at Dell World 2014 last week. It was rather refreshing to speak with an executive that was willing to admit that the company is focused on helping customers solve problems rather than building every piece of that solution itself.
Dell just launched what appears to be a very powerful and flexible system that it stresses is a converged system. What does that mean?
Dell wants to convince its enterprise customers to work with them to consolidate cloud services acquisitions rather than to go directly to the service providers. The questions: Why Dell, and will companies actually work with Dell in this way?
Stratus has long been a proponent of continuous processing solutions for critical workloads. They've offered both hardware- and software-based approaches. Now, the company is using that technology to make OpenStack workloads highly available.