The "Editor's note" Container technology is a lightweight virtualization technology that allows you to virtualize a stand-alone system's operating environment with fine-grained granularity. This means that a physical server, or a virtual server above a cloud, can run hundreds of separate containers at the same time. Based on the distinctive features of "fast" in the gaming industry, every business logic, such as the control of character walking, fighting, scene, chatting, archiving, database, etc., can be run in a separate container. This series of containers constitutes the autonomous system of an independent gaming world. ...
Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...
Introduction: Pixable is becoming a light blog Tumblr (tumblr:150 The architectural challenges behind the amount of browsing), another hot social media, it is a photo-sharing center. But pixable can automatically grab your Facebook and Twitter images and add up to 20 million images a day, how do they handle, save, and analyze the data that is exploding? Pixable CTO Alberto Lopez Toledo and Engineering vice President Julio V ...
"Editor's note" Shopify is a provider of online shop solutions company, the number of shops currently serving more than 100,000 (Tesla is also its users). The main frame of the website is Ruby on rails,1700 kernel and 6TB RAM, which can respond to 8,000 user requests per second. In order to expand and manage the business more easily, Shopify began to use Docker and CoreOS technology, Shopify software engineer Graeme Johnson will write a series of articles to share their experience, this article is the department ...
Currently, the Hadoop-based big data open source ecosystem is widely used. At the earliest, Hadoop was considered to be deployed only in a trusted environment, and as more departments and users joined, any user could access and delete data, putting data at great security risk.
As with all enterprise data, large data can only be used to project users through applications. For architects who design or redesign http://www.aliyun.com/zixun/aggregation/8213.html "> Large data applications, a key question is whether to use object-oriented architecture (SOA) or restful The API connects large data components and services to other parts of the application. Start with an interface that is exposed by a large data product and then define a large data interface on the application side. Connect with ...
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