Asynchronous Python

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15 Most popular Python open source framework

We've sorted out 15 of the most popular Python open source frameworks from GitHub, including event I/O, OLAP, web development, high-performance network communications, testing, reptiles, and more. 1. Django:python Web application Development Framework Django should be the most famous Python framework, and Gae and even erlang have frameworks that are affected by it. Django is the direction of walking all-inclusive, it is the most famous is its fully automated management background: Just to use ORM, simple ...

Zynaptic reaction Beta3 Publishing Java Asynchronous Programming framework

Zynaptic reaction is a flexible Java asynchronous programming framework for implementing complex event-driven applications. It is largely influenced by the twisted programming framework of the Python programming language developed by http://www.aliyun.com/zixun/aggregation/17078.html ">twistedmatrix Labs". The main features of the reaction library are concurrency and callback models, and as a neutral ...

Remote Python Call 3.2.2 publishes a remoting program

Remote Python Call (RPYC) is for RPC remote procedure calls and http://www.aliyun.com/zixun/aggregation/13452.html "> A simple and symmetric Python Library of distributed computing. It supports synchronous and asynchronous operations, callbacks, secure remote services, and transparent object proxies. Remote Python Call 3.2.2 is a maintenance version, fixed on Windows ...

Mailbox: The performance tuning and cluster migration of the information database

In mailbox rapid expansion process, one of the performance problems is the MongoDB database level write lock, the time spent in the lock waiting process, directly reflects the user's use of the service process delay. To address this long-standing problem, we decided to migrate a common set of MongoDB (storing mail-related data) to a separate cluster. According to our inference, this will reduce the lock latency by 50%, and we can add more fragments, and we expect to be able to optimize and manage different types of data independently. We start from Mon ...

Digg.com's system architecture

Over the past few years, we have been devoted to refactoring Digg's architecture, which we now call "Digg V4." In this article we will give you an overview of Digg's systems and technologies. Find the secret of the Digg engine. First of all, let's take a look at the services that Digg provides to mass users: A social news site is a customizable social news advertising platform. API services Blog and documentation sites People use browsers or other applications to ...

Connecting to the Cloud, part 1th: Using the Cloud in your application--making full use of the hybrid model

Explore cloud computing and the various cloud platforms offered by key vendors such as Amazon, Google, Microsoft® and Salesforce.com. In part 1th of this three-part series, we'll give you a typical example of an enterprise application that uses a JMS queue, and look at what will be involved in using a part of this JMS infrastructure in the cloud. ...

The combination of Spark and Hadoop

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 ...

Twitter: A simple tweet behind the powerful open source power

Absrtact: 7 years ago, one of the ideas, the success of today's popular social network and microblogging service--twitter. Twitter now has more than 200 million monthly active subscribers, and about 500 million tweets are sent every day.   Behind all this is the support of a large number of open source projects. Twitter, known as the "Internet SMS Service", allows users to post no more than 140 tweets, the idea from Twitter's co-founder, Jack Dorsey, which was dubbed "the dumbest Ever" by analysts 7 years ago ...

Product manager must understand the technology business?

Introduction: Sometimes we need more than just a product manager who knows technology well, and what we need is a product manager who can trust his partners to do well and encourage them to work better together. So in the end product managers need to understand the technology, let's take a look at know the answer of this question. In the last seven years, I have been doing Internet products, of which the first five years of time in the start-up companies and listed companies, to do other people's products; the last two years in business, and strive to be their own Production ...

Image server architecture evolution

Now almost any application, such as a website, a web app and a mobile app, needs a picture display function, which is very important for the picture function from the bottom up. Must have a forward-looking planning picture server, picture upload and download speed is of crucial importance, of course, this is not to say that it is to engage in a very NB architecture, at least with some scalability and stability. Although all kinds of architecture design, I am here to talk about some of my personal ideas. For the picture server IO is undoubtedly the most serious resource consumption, for web applications need to picture service ...

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