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The technical revelation behind the Instagram 5 legendary Engineers (PPT)

Instagram 5 Legendary engineers behind the technical Revelation (PPT) published in 2013-03-28 22:13| Times Read | SOURCE csdn| 0 Reviews | Author Guo Shemei Postgresqlredismemcachedinstagram Open Source AWS Summary: Instagram, a photo-sharing app developer based on iOS and Android, with a unique operating philosophy, with only 5 engineers, Team A total of 13 people in the case of success to their own 7 ....

VMware launches new enterprise database

Global virtualization and cloud Infrastructure leader VMware (NYSE trading Code: VMW) announced a new database opening and operation solution at VMworld 2011, which aims to bring an enterprise a service model of database and service. As an extension of the VMware Cloud application platform strategy, VMware vfabric Data director will provide it with the ability to control and manage an increasing number of heterogeneous databases through policy-based automation, and through self-service provisioning patterns for developers ...

Online bookkeeping into living wealth online promotion of meritorious

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall last night into Google Analytics found keepaccounts.com traffic surge to 5000IP, into the keepaccounts.com administrator backstage view registered users also added 800 on February 25, 2009, reached the number of new registered users in the past several times. At ordinary times the amount of online accounting visits is 1000ip/day or so, registered users are only 200 people/day up and down. Intuition tells me that this anomaly is a ...

MySQL second loss

Despite being caught by Oracle, the controversy on MySQL never stopped; today, MySQL is still the most popular open source database on the market. Simple, free, extensible, relatively mature and so has always been the attraction of MySQL, but it is like a rabbit in a tortoise and hare race, because of its own advantages, to slacken, slowing down their own pace, so that each competitor Have the opportunity to catch up, these killer features are no longer attractive (or even reduced to the disadvantaged). Although PostgreSQL has always been the direct competitor of MySQL, ...

LinkedIn large data Platform depth analysis (i)

I joined the LinkedIn company at an exciting time six years ago. From that point on, we cracked down on a single, centralized database and started switching to a special distributed System suite. This is an exciting thing: the Distributed graphics database, the distributed search backend, the Hadoop installation, and the first and second generation key value data stores that we build, deploy, and still run until today. The most rewarding thing we've learned from all of this is that the core of many of the things we build contains a simple idea: log. Sometimes ...

The secret of Chief engineer: How LinkedIn's big data backstage works

Editor's note: Jay Kreps, a chief engineer from LinkedIn, says that logs exist almost at the time of the computer's creation, and there is a wide range of uses in addition to distributed computing or abstract distributed computing models. In this paper, he describes the principles of the log and the use of the log as a separate service to achieve data integration, real-time data processing and distributed system design. Article content is very dry, worth learning. Here's the original: I joined the LinkedIn company at an exciting time six years ago. From that time ...

The secret of Chief engineer: How LinkedIn's big data backstage works

Editor's note: Jay Kreps, a chief engineer from LinkedIn, says that logs exist almost at the time of the computer's creation, and there is a wide range of uses in addition to distributed computing or abstract distributed computing models. In this paper, he describes the principles of the log and the use of the log as a separate service to achieve data integration, real-time data processing and distributed system design. Article content is very dry, worth learning. Here's the original: I joined the LinkedIn company at an exciting time six years ago. From that time ...

LinkedIn large data Platform depth analysis (i)

I joined the LinkedIn company at an exciting time six years ago. From that point on, we cracked down on a single, centralized database and started switching to a special distributed System suite. This is an exciting thing: the Distributed graphics database, the distributed search backend, the Hadoop installation, and the first and second generation key value data stores that we build, deploy, and still run until today. The most rewarding thing we've learned from all of this is that the core of many of the things we build contains a simple idea: log. Sometimes ...

Free time: Eight best cloud integrated development environment

Today, browsers are actually a lightweight client that allows users to access a variety of cloud-based applications and services. It is not surprising that many software based on traditional desktops is migrating to the cloud, and that cloud-based integrated development environments are emerging, and many developers are using Github and Pastebin for online collaborative development. Today, this article selected 8 of the best gathered into the development environment recommended to developers, you can experience, see which is suitable for themselves. Cloud9 IDE is based on NODEJS&NB ...

Don't talk about Hadoop, and 4 data pipelines to build practice

Today, the concept of big data has flooded the entire IT community, with a variety of products with large data technologies, and a variety of bamboo seen for processing large data tools like rain. At the same time, if a product does not hold the big data of the thigh, if an organization has not yet worked on Hadoop, Spark, Impala, Storm and other tall tools, will be the evaluation of obsolete yellow flowers. However, do you really need to use Hadoop as a tool for your data?   Do you really need large data technology to support the data type of your business processing? Since it is ...

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