AWS re:Invent 2017 is to kick off in a few days in Las Vegas from Monday, November 27th to Friday , December 1st 2017. AWS re:Invent is a learning conference for the global cloud computing community and attracts Amazon’s top customers, software distribution partners (ISVs) and AWS MSPs. It has four-and-a-half days of content across six venues in
I got the opportunity to attend the OpenStack summit in Boston. The summit was full of events mostly focused on OpenStack cloud, but many other things including NFV, Kubernetes, Containers, DevOps and approaches to pursuing multi-cloud approach. Many companies showcasing their products, platforms, software solutions were the highlights of the
Big data technologies and their applications are stepping into mature production environments. Many storage startups have jumped onto the bandwagon with the availability of mature, open source big data tools from Google, Yahoo, and Facebook. This blog covers big data stack with its current problems, available open source tools and its applications.
Container ecosystem is maturing at a rapid pace. IT administrators should be ready and be prepared to adopt and manage this disruptive technology. Containers are natural progressions and are the obvious next step for application packaging, deployment and hosting unlike other technologies like Big Data where you need a major shift in your mindset or vision.
Data Center infrastructure automation is a traditional market but it has shown some remarkable growth and off the league shift in the past couple of years. It is a high-priority investment for IT organizations today. In the coming years we should expect some major disruption in this domain. Let’s try to analyze some points which will affect the growth of Data Center
What is Machine Learning, as per Arthur Samuel way back in 1959: “[Machine Learning is the] field of study that gives computers the ability to learn without being explicitly programmed.” Machine Learning is an algorithm or program that read data, analyse it, identify the pattern and base on analysis it will perform operations, it will change rest of its flow, , it will do suggestions & recommendations.
Both RDS and VDI are core components of desktop virtualization, and they satisfy specific computing requirements and scenarios with deployment readiness and flexibility. VDI and RDS have peculiarities that adapt to the different needs of a business, but making a choice between them could be difficult for some companies. Benefits of Virtual Desktop
Artificial Intelligence has brought some unique characteristics that will definitely influence the next generation of cloud computing platforms. AI requires a new computing infrastructure and the support for brand new programming paradigms and frameworks. In coming days, we might expect the cloud obligatory to amalgamate the AI capabilities as the foundational element
There have been a lot of innovations in the virtualization domain which has benefited compute and storage. However those benefits are constrained due to limitations in the traditional network model. It is becoming increasingly difficult task to manage infrastructure which needs rapid network provisioning and also can be a time consuming.
Unstructured data is projected to grow at a compound annual growth rate of more than 60% over the next few years. Enterprises are seeking effective ways to manage this unstructured data and exploit value out of it. High-end Network Attached Storage (NAS) solutions are trying to address these daunting challenges through hardware acceleration and