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Category Archives for "Networking"

RackWare, like everyone, wants to manage hybrid clouds everywhere

RackWare offers a management and automation platform that enterprises use to manage their computing resources to more closely follow demand. RackWare’s core proposition is that its management suite delivers cost savings to customers of a suggested 40 to 50 percent. Additionally, RackWare promises to deliver the highest levels of performance and availability to their customers.The company today released a new take on its management suite that aims to extend the existing core RackWare offering. The new platform promises to offer enterprises a single solution (they refrained from calling it a single pane of glass) to move applications, protect those same applications and manage all the different applications across the totality of their infrastructure. Justifying the move, RackWare points to a recent IDC report that suggests 70 percent of heavy cloud users are considering a hybrid cloud strategy.To read this article in full or to leave a comment, please click here

IDG Contributor Network: 3 benefits you didn’t expect from Linux containers

Linux containers are gaining significant ground in the enterprise, which is not surprising, since they make so much sense in today’s business environment. With that said, container technology as we know it today is relatively new, and companies are still in the process of understanding the different ways in which containers can be leveraged.In a nutshell, Linux containers enable companies to package up and isolate applications with all of the files necessary for each to run. This makes it easy to move containerized applications among environments while retaining their full functionality.+ Also on Network World: Adapting the network for the rise of containers + The recent Bain and Company study “For Traditional Enterprises, the Path to Digital and the Role of Containers” found that “respondents are beginning to benefit from faster innovation as well as improved development and deployment cycles. For example, adopters frequently report 15  to 30 percent reductions in development time. Adopters also report initial cost savings of 5 to 15 percent due to greater hardware and process efficiencies.”To read this article in full or to leave a comment, please click here

Is protected health information safe in the cloud?

Many healthcare providers face the decision on if they should store protected health information (PHI) in the cloud. There are benefits and concerns to storing PHI in the cloud, and the decision to do so should be analyzed.PHI is any health-related or insurance payment information that is stored or managed by a healthcare provider that can identify a specific individual. Examples of PHI are patient names, addresses, Social Security numbers, X-ray images, lab results, insurance payment information and medical records. Even information about a patient’s planned future procedures is PHI. Government regulation of PHI is covered in the HIPPA Privacy Rule, and all healthcare providers in the United States must adhere to it or face fines.To read this article in full or to leave a comment, please click here

Let’s build a small network automation solution!

Do you have the feeling that you should know more about network automation, but don't know where to start? I was facing that same problem in 2015, and then started exploring Ansible (plus YAML, Jinja2, Git, Puppet…), creating small playbooks, and finally came to a point where I said "now I know that you can have a small solution solving an actual problem ready in a few weeks even if you know absolutely nothing today".

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Here’s how Google is preparing Android for the AI-laden future

The future of Android will be a lot smarter, thanks to new programming tools that Google unveiled on Wednesday. The company announced TensorFlow Lite, a version of its machine learning framework that’s designed to run on smartphones and other mobile devices, during the keynote address at its Google I/O developer conference.“TensorFlow Lite will leverage a new neural network API to tap into silicon-specific accelerators, and over time we expect to see [digital signal processing chips] specifically designed for neural network inference and training,” said Dave Burke, Google's vice president of engineering for Android. “We think these new capabilities will help power a next generation of on-device speech processing, visual search, augmented reality, and more.”To read this article in full or to leave a comment, please click here

IDG Contributor Network: How to avoid downtime and disruption when moving data

Business Continuity Awareness Week 2017 is here, and hopefully it will present a fresh opportunity to review some of the cloud’s limitations in this area.Some 60 percent of all enterprise IT workloads will be run in some form of public or private cloud by as soon as next year, according to 451 Research’s latest estimate. It projects particularly strong growth in critical categories, including data analytics and core business applications. Findings from IDC, Gartner and Forrester present broadly the same picture—that the cloud is rapidly becoming central rather than peripheral to general IT provision.To read this article in full or to leave a comment, please click here

IDG Contributor Network: A tech company CEO de-hypes digital transformation

It seems that every tech company CEO today is talking about digital transformation in some way. If it’s not in the company tagline, it’s top of mind and top of deck in every sales presentation.The reason is simple: Every client CEO is thinking about digital transformation too—and buying anything they believe will help them stave off the threat of digital disruption.+ Also on Network World: The pathway to digital transformation runs through IT + For the vast majority of these technology CEOs, however, the use of the term digital transformation is opportunistic at best. Most are attempting to shove their square legacy technology into the round hole of "digital." Dig a little bit beneath the surface, however, and the truth is laid bare.To read this article in full or to leave a comment, please click here

Some people who passed the exam on FEB 2017 lost their CCDE !

As you know May 11 2017 exam has been cancelled. I shared the details in this post. Cisco took very hard decision but saved the CCDE certification. I have been suggesting that new scenarios should be added for a long time. Read this post and see why I have been suggesting it.   As you know, […]

The post Some people who passed the exam on FEB 2017 lost their CCDE ! appeared first on Cisco Network Design and Architecture | CCDE Bootcamp | orhanergun.net.

Google adds smart reply to Gmail for iOS, Android

Google is making it easier for people to dash off a quick email reply from Gmail on their smartphones. The Smart Reply feature, which offers a handful of contextually-aware, computer-generated responses, is coming to Google’s flagship email app for iOS and Android, the company announced at its I/O developer conference Wednesday.The feature provides users with three machine-generated responses, based on the content of whatever message the user is replying to. It’s built using machine learning, and is designed for use with smartphones, so that people on the go can dash off a reply to their correspondence partners without much effort.Smart Reply began its life as part of Inbox, Google’s alternate email client for smartphones. Right now, 12 percent of all email replies sent through that app are Smart Replies.To read this article in full or to leave a comment, please click here

Google’s new TPUs are here to accelerate AI training

Google has made another leap forward in the realm of machine learning hardware. The tech giant has begun deploying the second version of its Tensor Processing Unit, a specialized chip meant to accelerate machine learning applications, company CEO Sundar Pichai announced on Wednesday.The new Cloud TPU sports several improvements over its predecessor. Most notably, it supports training machine learning algorithms in addition to processing the results from existing models. Each chip can provide 180 teraflops of processing for those tasks. Google is also able to network the chips together in sets of what are called TPU Pods that allow even greater computational gains.To read this article in full or to leave a comment, please click here

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