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One, the charm of the management of cloud computing is that users can start using their ID card and credit card, but that's the problem. Such a simple service is bound to bring many challenges to the unprepared IT department. 　　We've been through this many times before: the benefits of a technology that are easy to use end up being an unexpected management challenge, such as virtualization, which causes virtual machines to become fragmented, new security risks to smartphones, and instant messaging that triggers corporate governance problems. This article is intended to show IT managers how to maximize cloud computing ...

Initially, the platform, the service vendor, establishes its own market differences based on the language it supports, such as Java or. NET, but in the end they continue to evolve to support multiple languages and, ultimately, the infrastructure that serves to support data storage, messaging, application services, and mobility. The market provides a variety of PAAs for developers. Although it seems that PAAs vendors are very similar, but there are many differences. Consider the types that can be controlled, and if so, developers can configure them on the infrastructure. Ideally, PAAs vendors manage all of the implementation ...

The computer came into my life very early. However, I have always wandered as a layman: neither a computer education nor an IT industry. Think of yourself these years in the front of the door dangling, leaving and gathering, quite sentimental. The first time close contact with primary school, the family put a Lenovo "Qin" computer. Its domineering side leaky speaker, incomparable pull the wind microphone, mysterious remote control, all shook my heart. Then the little boy would spend an afternoon studying the difference between the left and right keys and the function of the "Start" menu. In junior high School, the game became synonymous with computers. I'm buying Volkswagen software at the newsstand ...

The most interesting place for Hadoop is the job scheduling of Hadoop, and it is necessary to have a thorough understanding of Hadoop's job scheduling before formally introducing how to build Hadoop. We may not be able to use Hadoop, but if the principle of the distributed scheduling is fluent Hadoop, you may not be able to write a mini hadoop~ when you need it: Start Map/reduce is a part for large-scale data processing ...

Have you ever heard such a statement? An IT senior manager talking about the application infrastructure of the organization. He is optimistic about the "modern" aspects of the Environment: multi-tier client-server systems, WEB-oriented development using languages such as PERL, Python, and Ruby, and service-oriented architectures. If you ask the IT senior manager about the IBM System z Server They are using, the answer may well be dismissive: "Oh, that's our legacy system." The word "Left" listens ...

HBase provides both scalability and the economics of sharing the same infrastructure as Hadoop, but does its flaws rip off its hind legs? 　　The NoSQL expert laid out the debate frame. HBase is part of the world's most popular large data-processing platform, Apache Hadoop, modeled after Google BigTable. 　　But can this lineage guarantee hbase a dominant role in the competitive and fast-growing NoSQL database market? Michael of the MAPR company.

The cloud storage Standard--CDMI specification, published by SNIa in April 2010, may have been a thrill for cloud-storage-related vendors, but how much does it do for the security and stability of cloud storage and the scalability of the current user's suspicions?     We don't know. Cloud storage was originally a concept that came out after cloud computing, but it didn't come up with a standard before cloud computing. This also fulfilled the phrase Bill Gates once said: "Cloud storage will be faster than cloud computing." Cloud ...

"51CTO classic" I like MongoDB mainly because it is so simple and natural to use it in dynamic languages. So far, I've used it in two projects (Encode and SPARRW), although I'm very happy with the choice, but there are some problems I haven't noticed, and these problems have kept me scratching my scalp for hours. If you have more than one machine, and then allocate a few more machines for the database, then some problems can be solved, but my project is running on a single (virtual) server on the low flow w ...

BethuneX database real-time monitoring and intelligent inspection big data platform, first of all its original intention and vision has not changed: become the favorite platform for database operation and maintenance personnel, and can help them quickly find and solve database problems.

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