As we -Evan and I- were ranting last week about how OpenStack and VMware fit together (see #EMACloudRants), we were mainly focusing on the central conundrum that VMware faces within this context: “Should we support an open platform that could commoditize away a substantial part of our profitable infrastructure business or should we ignore the threat and do our own thing”
What does Big Data mean to traditional enterprise IT? Organizations of any size and industry are becoming more and more aware of the incredible importance of capturing, managing and analyzing the data available to them. The more comprehensively companies are able to tap structured and unstructured data sources, the quicker they can refresh this data and the more successfully they make this body of data available to all business units, the better they can develop advantages in the market place. Today’s business units are demanding the rapid implementation of these big data use cases, as well as optimal resiliency, cost efficiency, security and performance.
As every year, IBM invited the analyst community to Stamford, CT, for a deep dialogue on today's most important topics in enterprise IT. Here is a short overview for everyone interested in IBM's current world view.
Welcome to my Blog on the latest trends in systems management. In this Blog, I will look at systems management from a business process perspective. The initial focus will lie on server virtualization management, cloud systems management and workload automation. Within this context, I will analyze and try to quantify the efficiency gains that the organization can realize by implementing systems management tools and processes. However, as systems management does not exist in a vacuum, it is essential to tie these findings together with the latest developments in neighboring disciplines such as configuration management systems, IT service management, process automation, security, networking, applications management etc.