Six Cloud Trends That are Making Waves in 2017

Source – bwdisrupt.businessworld.in Cloud is no longer a buzzword that is only popular in big businesses, but, has trickled down to the masses. It is woven in our everyday lives, in the way we communicate, listen to music, watch movies, and store or share our data. Cloud has also dramatically transformed the way business is conducted. Recent studies have shown that businesses employing cloud services improve their productivity and grow 19.6% faster than those that don’t. The digital economy we operate

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Harnessing AI to make DevOps more effective

Source – zdnet.com Loom Systems’ AI-powered log analysis aims to give companies a warning when there may be a problem in their system by reading logs and detecting when something is likely to go wrong — and then sends out alerts so DevOps and IT managers can respond before systems go down. ZDNet talked to CEO Gabby Menachem about the company’s future plans. ZDNet: Tell me about the origins of Loom Systems. Menachem: We were founded two years ago and using

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Delivering the future potential of hyperscale cloud

Source – thestack.com Hyperscale, most closely associated with big data and cloud, is the provisioning required in distributed computing environments to efficiently scale from a few servers to thousands of servers in an instant: the public cloud. Hyperscale cloud is the management, from migration to on-going support, of client business applications hosted in the public cloud. This includes the maintenance, support and security for business applications hosted in AWS and Microsoft Azure. Gartner has suggested that by 2020, over 80% of

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What is the difference between big data and cloud computing?

Source – sportnewsexpert.com Big data and cloud computing are the trending terms in the information technology (IT) world. The terms have also grown popular among business owners who are willing to take advantage of technologies to expand their businesses. However, big data and cloud computing are also some of the most confused terms in IT. Big Data Big data is not only a term used to refer to big volume of data, but also used to mean a refreshing way of

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Zombies Are Muttering “Agile”, “DevOps”, “Containers”, “Big Data”, and “Microservices”

Source – technologyconversations.com DevOps is the word of the year. Everyone speaks about it, and many are hoping to apply it, even though most are confused what it truly means. Inquiring about DevOps does not seem to help. If you speak with a software vendor, he’ll tell you that all you need to become DevOps ninja is to purchase his product. Puppet, Chef, Ansible, Docker, Terraform, Packer, Jenkins, Nexus, Git… Every software vendor seems to have a DevOps sticker attached to

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Enabling the future of connected devices

Source:- cio.com The Fog Rolls In There is an IT market segment, with roots dating back to the 1800s, that is growing at 60% CAGR and yet, almost no one has heard of it. There is even an industry consortium for this market, with big-name founding members like Dell Technologies, Cisco, Intel and Microsoft.  And when you hear the name for the first couple of times, you think it might be a prank.  It’s called Fog Computing. The first time I

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Top Big Data and Cloud Computing Interview Questions & Answers

Source:- exceltip.com Here are some top questions that are being asked during big data and cloud computing interviews.   WHAT ARE HYPERVISORS IN CLOUD COMPUTING AND GIVE THEIR TYPES. Answer: Hypervisor is known as a virtual machine that manages resources for virtual machines. They are majorly 2 types of hypervisors. TYPE 1: the guest Vm runs directly over the host hardware. TYPE2: the guest Vm runs over hardware through a host Operating System.   WHAT IS AMAZON SQS?   Answer:

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The top five in-demand cloud skills for 2017

Source:- cloudcomputing-news.net Financial results for the fourth quarter of 2016 reveals massive growth for the top cloud providers. With 47% and 93% revenue growth for Amazon AWS and Microsoft respectively, one thing is clear – cloud is growing at a breakneck pace. Enterprises and small businesses will continue to adopt and invest in cloud technology. Cisco’s Global Cloud Index whitepaper shows global cloud IP traffic will almost quadruple over the next five years. But the rapid expansion of cloud has

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Containers help move Spark and Hadoop into analytics operations

Source:- techtarget.com Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service. Spark and Hadoop analytics efforts often stumble when teams try to turn small pilot projects into larger operational apps meant for data science teams and business analysts. For many, it is an obstacle in their quest to work with big data. Configuration complexity has sometimes been the stumbling block. A custom-configured prototype built

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Why big data needs DevOps ?

Source:- globalbigdataconference.com Many big data analytics teams choose to not use DevOps methodologies, but there are real benefits to applying DevOps concepts to those big data initiatives. Extracting accurate and meaningful answers from big data is tough. It’s often made more challenging given the way big data software developers and IT operations lack coordination in many enterprises. Even though an IT organization may practice sound DevOps strategies for other supported applications, big data projects often remain siloed for a variety

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