The mobile device management market has exploded over the past five years with solutions coming from “traditional” mobile management, security and specialty software vendors and fueled by the rapid consumer and corporate adoption of smartphones and tablets. Followers of the Mobile Device Management (MDM) and Mobile Application Management (MAM) space are tracking companies such as AirWatch, MobileIron, Citrix, Good Technology, SAP and nearly three dozen other vendors who provide competing products. Corporate implementers are trying to find the right balance between allowing individuality of a users owned device and the security of corporate data that may be accessed on it. The majority of solutions provide a secure layer, or container, for which the corporate data resides. These layers can, and do, have an effect on the usability of the devices. Continue reading Red Bend – Mobile Device Virtualization for the Enterprise
I came away from HP Protect 2013 wondering if current security sold by the traditional security players will actually scale to the hybrid cloud. Are these security tools still system-centric, or are they changing to be data-, user-, and app-centric? I feel that this move has started but has far to go. I do not think many of the current batch of traditional security services implemented in data centers today can scale properly. In order to understand the scale of the cloud, we first should give some basic numbers: Continue reading Traditional Security Lagging against the Scale of the Cloud
2013 is the year of caching. The VMworld conference was full of news about startups using expensive-yet-fast technologies like flash, SSD, and RAM to make up for deficiencies in storage performance. One of those startups was PernixData, announcing their FVP caching product.
Let me paint a scenario for you. You’re virtual/cloud computing environment is just plain rocking. This environment is a well-oiled machine capable of handling all your company’s needs, but you still find yourself in need of extra resources at times and make the leap into a hybrid cloud configuration. Everything is going well, really well, actually, and you have moved more and more resources into your hybrid space. Life is good…Up until you receive your two weeks’ notice; now the fun really begins. Not really. Continue reading What Has Nirvanix Done and What Would You Do
The focus of many of my blog posts is on topics around how to be more agile. One key strategy for increasing agility is to focus on core competencies and leverage the cloud for all non-core functions. Much of the discussion about cloud services focuses on IaaS, specifically AWS versus the various private cloud solutions, but another way in which companies are achieving agility is by leveraging SaaS solutions for key operations functions. Continue reading PagerDuty: A One-Stop Shop for Alerts
Ask any virtualization administrator what their major pain points are and the first thing on the list will be storage. It isn’t surprising. Storage was likely the first major bottleneck for virtualization, back when it was “the Internet” and not “the cloud.” And as any IT person can tell you, there are two ways storage can be a bottleneck: performance and capacity. Traditionally, the problem of capacity is less complicated to solve than that of performance. To gain capacity you just add disk. To gain performance you needed to select a disk form factor (2.5″ or 3.5″), connection technology (SAS, iSCSI, fibre channel), rotational speed (7200, 10000, 15000 RPM), sometimes a controller (do I get the Dell PERC with 512 MB of cache or 1 GB?), and do the math to figure out how many disks you need to match both the problem of your I/O and its corollary: the problem of your budget. Complicating things, virtualization turned most I/O into random I/O. What might be a nice sequential write from each virtual machine looks pretty random in aggregate. Of course, random I/O is the hardest type of I/O for a disk to do. Continue reading Caching as a Service