With brilliant technical achievements, this year’s Double 11 undoubtedly broke the global record again — the transaction volume broke 100 million in 11 seconds and 1 billion in 28 seconds, and the final transaction volume stabilized at 168.2 billion. It not only created the extremely high transaction peak and payment peak, but also broke the record with the database processing peak of 42 million times per second. Behind double 11, there are many black technologies!
From December 13 to 14, the Cloud computing community and Alibaba Technology Association will jointly hold the “2017 Alibaba Double 11 Technology Twelve Lectures” online live summit, exclusive sharing of the best practices behind the double 11 technology, welcome to make an appointment live!
The following is a detailed introduction of the topics and guests for your reference.
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Anchor: Uncle Tong
Shu Tong, senior technical expert of Alibaba, participated in the Double 11 battle for 8 times, responsible person of Ali’s high availability architecture and Double 11 stability, responsible person of Ali container, scheduling, cluster management, operation and maintenance technology.
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Ali’s Next Generation Technology Architecture: The Evolution of Cloud Architecture
This speech will reveal the secret of Alibaba’s cloud architecture by significantly reducing the daily IT operation cost through cloud architecture and reducing the IT operation cost of Double 11 promotion by 50%.
Host: Yue Qian
As a senior technical expert of Alibaba, established the supply chain algorithm team, took charge of the algorithm research and development of the Supply chain platform business unit, and ensured the overall efficiency of the supply chain through the comprehensive use of various algorithms.
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The supply chain of 2017 Double 11
Tmall Double 11 is an annual event. A large number of users will come to Alibaba’s platforms to shop during singles Day, generating a flood of orders and packages. The packages come in a variety of sizes, are distributed across the country and in large numbers. How to deal with these orders quickly and efficiently and deliver customers’ packages to consumers as soon as possible has become a very important and arduous task during The Double 11, which depends on the efficient coordination of the whole supply chain.
This sharing will introduce the related work of the supply chain during tmall Double 11, including the preparation items such as pre-stock preparation, overflow and sinking, flow control, sales forecast, replenishment allocation, warehouse and distribution performance, etc., and explain the challenges we have encountered and the achievements we have achieved.
Anchor: Save yourself
Ali Cloud senior technical expert, joined feitian Pangu team in 2012, focusing on distributed storage and promoting pangu 2.0 in double 11.
Main Topics shared
Distributed storage system Pangu in the double 11 campaign
Anchor: Hou Yi
As a senior technical expert of Alibaba, he participated in the “Double 11” war in 2008 and led the implementation of Ali’s “go to IOE” strategy. At present, he is promoting the intelligent infrastructure of Ali.
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Practice of intelligent network in Double 11
The size of Alibaba’s network and the complexity brought by different business forms make the whole network governance face unprecedented challenges (such as the rush hour of Double 11). The idea of intelligent network based on machine learning makes us think again about the engineering capability to solve these challenges.
Anchor: Tiehua
Alibaba senior technical expert, taobao’s earliest SDL establishment and implementation, taobao’s first generation of web security solution development, the founder of secure static code scanning platform.
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Bully down – seven layer flow cleaning
Alibaba Group’s network layer malicious traffic cleaning product can clean CC attack, Web attack, crawler, machine brushing and other malicious traffic mixed in all requests, so as to ensure the security of the business system under the operation state of overload.
Anchor: Santong
Alibaba senior algorithm expert, Taobao commodity search algorithm direction, hosting a number of search technology projects, is committed to promoting large-scale machine learning, deep learning and other applications in commodity search.
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Application of artificial intelligence in commodity search
Search has been using the cutting edge of ARTIFICIAL intelligence to understand users and products and provide an intelligent search and shopping experience. Through online deep learning, multi-agent, knowledge graph and other technologies, search has made important progress in search intention understanding, semantic matching, user interest perception, search sorting strategy, multi-scene collaborative optimization, intelligent interaction and other fields. Search the depth of the users perception network footprint can be based on user behavior and context real-time perception user intent, to predict the user interest preferences and generating personalized sorting strategy, sensing network of more than 10 b parameters, has studied hundreds of billions of times the user behavior, and will keep continuous incremental learning, make model is more and more intelligent; By using the cooperative learning technology of multi-agent, the search realizes the environment perception, communication and collaborative decision among multiple heterogeneous scenes, and achieves the maximization of joint benefits instead of one and the other. The online deep learning of search can complete log collection, model training and model synchronous deployment in seconds, processing hundreds of billions of samples per day.
Anchor: Rubai
Alibaba senior technical expert, Apache top project CXF one of the founding members, Ali Group infrastructure business group operation and maintenance of the central Taiwan person, experienced.
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Alibaba’s intelligent operation and maintenance platform helps r&d to meet the challenges of Double 11
With the rapid development of the Internet, the scale of the system is getting larger and larger. With the widespread application of cloud technology, virtualization and micro-services, operation and maintenance is attracting more and more attention from people. As one of the largest Internet companies in the world, Alibaba’s systems are distributed all over the world and can often generate TERabytes of operation and maintenance data every minute. How to find rules from these massive data, guide operation and maintenance and make it intelligent has become one of the most important links in the next generation of operation and maintenance. To achieve standardization, automation and intelligentization of operation and maintenance to improve system stability and reduce operation and maintenance costs, we have made a lot of exploration, encountered many challenges, accumulated a lot of experience, and turned it into a technological breakthrough. This speech mainly focuses on systematically introducing the capabilities of Ali intelligent operation and maintenance platform, and sharing intelligent exploration in several fields such as release and deployment, file distribution and monitoring.
Anchor: Zhang Rui
Alibaba researcher, head of database technology team of Ali Group, experienced the process of technological transformation of Ali database, and participated in the preparation for Double 11 as the general head of database for 6 consecutive years.
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The future is here: The application of Alibaba’s new generation database technology in Double 11
Ali is building a new generation of database technology system, including a new generation of database X-DB, database containerization, storage and computing separation, hybrid cloud and intelligent diagnosis system and other technologies. This topic will introduce the application and achievements of new technologies in The 2017 Double 11.
Host: Zong Dai
Alibaba senior technical expert, joined Taobao in 2008, responsible for Ali distributed cache, NoSQL database Tair and Tengine.
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Tair technology reveals distributed cache under dual 11 trillion traffic
As one of the core base products of Double 11, Tair provides ultra-low latency response behind hundreds of millions of visits per second. This presentation will explore how Tair continues to push the boundaries of high concurrency, efficiency costs and scale in a complex business environment, and how it solves the hot issues of caching systems.
Anchor: Pilu
As a senior technical expert of Alibaba, I led the design of TMF2.0 framework and completed the upgrade and transformation of trading platform architecture based on this framework. Now I am in charge of commodity center.
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2017 Double 11 trading system TMF2.0 technology revealed
The reformed trading platform based on TMF2.0 framework has greatly improved business scalability, research and development efficiency and maintainability through the separation of business management domain from operation domain and the isolation of business from business. At the same time, with a better open mode, business students can carry out non-intrusive demand development on their own.
Anchor: Dasha
Alibaba Senior Technical Specialist, responsible for real-time computing Flink SQL, previously worked at Facebook USA, Apache Flink Committer.
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Race against time: Alibaba real-time big data technology to help double 11
Reveal how Alibaba cloud streaming computing platform 2.0 can efficiently and quickly process massive data in real time on Double 11, supporting media and other businesses. At the same time, it provides real-time personalized service to users through online machine learning.
Anchor: Jiang He
Ali Cloud senior technical expert, participated in double 11 for 7 times, responsible for the development of Ali Cloud network products and Ali Group network virtualization, load balancing and other gateway products.
Main topics to be shared: Network virtualization technology provides a flexible network for Double 11
Note: Please go to the home page of cloud community for registration!