Browsing Posts published in April, 2017

Reading Time: < 1 minuteDataWorks Summit (formelly Hadoop Summit) is the industry’s premier big data community event with both an European and US edition. It’s a great opportunity to learn from your peers and industry experts how open source technologies enable you to leverage all your data, on premise and in the cloud, to drive predictive analytics, distributed deep-learning, and artificial intelligence initiatives. Not necessary only with Apache Hadoop technology (and this probably is the main reason of the name changing for the event).

Reading Time: 2 minutesVMware, a global leader in cloud infrastructure and business mobility, and OVH, a global hyper-scale cloud provider, have announced OVH intends to acquire VMware vCloud Air business. Financial details of the transaction were not disclosed.  The transaction is expected close in calendar 2Q 2017. Funny that OVH group was also a big vCloud partner from VMware and it’s curious to see that now can buy the vCloud Air business (maybe the datacenters used by VMware were almost from OVH?). But what about the technology itself, considering that vCloud Air is something more that vCloud Director […]

Reading Time: 5 minutesRecent VMware security bug (VMSA-2017-0006) is related to one of the worst possible security issue in a virtualization environment: a possible “guest escape” vulnerability that allows arbitrary code execution on a host system from the guest system. It’s not the first time of a similar risk (see, for example, Microsoft Edge used to escape VMware Workstation at Pwn2Own 2017) but this kind of issue is a different risk level if it affect Worksation (so “just” a client environment) or a ESXi (potentially a datacenter environment).

Reading Time: < 1 minuteSeagate Kinetic Storage Platform is a new object-based hard disk drives from Seagate to be (maybe) an evolution of hard disk. The idea was that the drives didn’t use traditional storage protocols like SAS and SATA, but instead stored objects written and retrieved over Ethernet in a much more scalable way.

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