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Since March 20, 2013 Docker appeared in front of developers, less than two years now. "Docker has transformed from a great idea into a great technology, and from a great technology to a great ecosystem, and even from a great ecosystem to a great movement." "I remember at the Docker summit in 2013, developers were still talking about Docker, and at the 2014 Amsterdam Summit, participants were already sharing its case." However, Docker's business ...

The Big data field of the 2014, Apache Spark (hereinafter referred to as Spark) is undoubtedly the most attention. Spark, from the hand of the family of Berkeley Amplab, at present by the commercial company Databricks escort. Spark has become one of ASF's most active projects since March 2014, and has received extensive support in the industry-the spark 1.2 release in December 2014 contains more than 1000 contributor contributions from 172-bit TLP ...

"Editor's note" in "Choose Docker or Rocket do container?" Why not choose two? In the article, the founder of Polvi and Docker, who had mentioned CoreOS founder Sonomon, believed that rocket and Docker were not competitive. The Docker platform is a product, and rocket is a component. Enterprises can choose Docker to replace Cloud Foundry, or you can use rocket to build cloud Foundry. CoreOS in the release of Rocket ...

"Editor's note" in the famous tweet debate: MicroServices vs. Monolithic, we shared the debate on the microservices of Netflix, Thougtworks and Etsy engineers. After watching the whole debate, perhaps a large majority of people will agree with the service-oriented architecture. In fact, however, MicroServices's implementation is not simple. So how do you build an efficient service-oriented architecture? Here we might as well look to mixrad ...

The public cloud not only changes the price structure of computing and storage, but it also expands the scope of what enterprise it can do. This is especially true when working with large datasets, where there is no practice for flexible computing and storage access. The loose definition of "big Data" is a dataset that is too large to be processed with traditional data management techniques and infrastructure. Detailed server logs, click Stream data, social network data, and mobile device data are complementary to transactional data types in the Data warehouse and in business intelligence systems. In addition, the public cloud data repository and Third-party accelerators also provide large data set topics from T ...

"Editor's note" in 2014, spark open source ecosystem has been greatly increased, has become one of the most active open source projects in the large data field, now active in Hortonworks, IBM, Cloudera, MAPR and Pivotal and many other well-known large data companies, More than Spark SQL, Spark streaming, Mllib, GRAPHX and other related projects. So much attention, spark will have what kind of change, the following we see Spark Contri ...

Involved in emotional tired dating site has been an endless stream. According to foreign media reports, the app store has recently emerged a new application called Circle, which is another application into the hot, context-aware geo-location service industry that used to create Likealittle, an anonymous dating site on campus Competitors include Highlight, Banjo, Meetup and Glancee, which was recently acquired by Facebook. Recently, the company began to shift its focus to the newly launched Circle of Applications. Previously at SX ...