Red Hat http://www.aliyun.com/zixun/aggregation/17539.html "> Company announced the acquisition of Gluster, The latter is widely concerned as a developer of Glusterfs open source file system and Gluster storage platform software stack. In this way, Red Hat has created itself as a service provider for customers looking for large data solutions like Apache Hadoop.
In fact, starting with the Ubuntu10.04 version, canonical started to offer cloud services through Ubuntuone, offering 2GB of free online storage and, if you want more space, paying an extra fee to buy. Cloud computing in recent years from a somewhat vague concept, gradually rise to the use of the stage. This makes every it vendor see infinite Business opportunities, canonical naturally also refused to ignore this sumptuous feast. After Ubuntu10.04 tasted the sweetness of cloud computing, Ubu ...
The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...
The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...
Server virtualization is a technology that consolidates x86 servers and improves efficiency. Any enterprise with more than one physical server should have its own virtualization strategy for deploying a highly virtualized x86 server platform. Currently, enterprise users have embraced virtualization and are beginning to prioritize deployment scenarios. More than half of the x86 workloads have been virtualized, with Gartner predicting that by 2016 China's 70% X86 Enterprise Servers will be virtualized. Avoid vendor abduction deploy multiple management processes ...
While many businesses are migrating applications and other processes to the cloud, businesses are still favoring local models for data backup and storage. Onsite storage appears to be safe and easy to control, but costly to manage and makes businesses vulnerable to natural disaster attacks. In addition, bottlenecks are often formed in local mode, especially in the process of consolidating remote and local applications and assets. Today, many companies already plan to use the cloud to store data. But in the face of a variety of cloud storage providers, before the choice you must ...
From an enterprise IT architecture, especially for Web2.0 sites, scalability must be considered: the ability to expand IT systems in a timely manner as the number of users increases. There are usually two ways to solve this problem: Scale up and Scale out, and two modes of expansion address database pressures from two dimensions. Scale out (scale-out): literally, Scale out uses increased computing power by adding processors and adding independent servers. Refers to the enterprise ...
In the next few weeks, we will be releasing a new series of blogs, in which we want to explain some of Google's views on container technology, and we will share with readers some of Google's experience in running services in containers over the last ten years. We are a team of Google's product managers, front-line technicians, and architects, and the team's common goal is to help readers understand how the container technology revolution can build and run services more effectively. This time we invited the "Google Cloud Platform Global Solutions" expert miles ...
Before 2013, there may be a wait-and-see or scepticism about the cloud, but after a year of development, cloud computing has completely landed: Big companies are busy with how to deliver faster, more stable and safer cloud services, how to snatch users in the cloud market, and small companies to consider how to use cloud computing to reduce their operating costs. How to make your system into a cloud structure; startups think about how to use the cloud to reduce upfront spending, and even how to use the concept of "cloud" to start a business and sell yourself in front of a VC. According to Gartner, 2013 Global ...
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