Why is there no downtime during the Douyin Spring Festival Gala red envelope interaction? After reading the quick notes of high concurrency inside the byte, I realized it!

This year's Spring Festival Gala, I wonder if you have watched it. Although the content of the Spring Festival Gala has not attracted my interest, I still paid attention to it.

Why? I spent 1.2 billion on Douyin. Can you withstand the high concurrent traffic of this Spring Festival Gala?

result……

Douyin: 70.3 billion red envelope interactions without downtime

Haha, I still disappointed the spectator who wanted to watch the show. (Laughing)

 

70.3 billion times, think about it, it must be hundreds of millions of high concurrency per second, Douyin can withstand it, and there is no downtime during the whole process, which shows that its specially built volcanic engine cow has a really good technology.

Take this common red envelope grab as an example. The seemingly simple red envelope model actually covers many concurrency points, such as:

1. The unpacking algorithm, is it to use the linear cutting method or the double mean method?

2. What is the system business architecture diagram involved in the red envelope? How does Douyin work?

3. In the case of high concurrency, what should I do about oversold? How to prevent oversold?

4. If the amount of concurrency is not particularly large and reliability is pursued, which technology should be used? Is it Zookeeper or Redis?

5. If you are looking for results, do you need to choose Redis?

What does this have to do with me?

Then I would like to ask you, if you don’t want to see what these big companies are doing, how to do it, how to withstand the big traffic, what are you researching?

Also, if you don't understand high concurrency, what can you use to change jobs?

When going to the back-end for an interview, high concurrency is a must for large companies, as are small and medium-sized companies, which will have the "three highs" experience requirements.

It just so happened that two days ago, a big cow gave me a note on the high concurrent growth of internal 100 million-level traffic, which contained 5 core technologies + 10 high-level frameworks + 200 classic cases. After reading it, there were only three. The word can describe it, that is: incense! Fragrant! Fragrant!

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Why is it called a growth note?

This list of notes is like this. It lists the knowledge reserves needed to learn each chapter, so that the learner's knowledge system can be linked together.

 

This book takes actual combat training as its purpose, expounds the key points and difficulties in Java advanced programming with detailed and classic cases. Each case is equipped with concise description and complete code, which can help readers quickly master the various knowledge points in the book.

This book is composed of three parts: core technology, application framework and data processing. The core technology introduces the architecture design related to high concurrency and the underlying technologies such as multithreading, NIO, and network programming; the application framework explains some of the currently popular high concurrency and distributed framework technologies, such as Disruptor, Spring Boot, Spring Cloud, etc. Technology is currently widely used in Internet companies at home and abroad; the data processing part focuses on how to optimize data, how to use relational databases, non-relational databases, and MapReduce technology in the field of big data to process massive amounts of data, thereby providing high concurrency scenarios Provide a complete storage solution.

The PDF version of this high-concurrency growth note has been sorted out by the editor. If there is an old iron who needs to read and learn, and the friends who need help like + follow, add the assistant vx: bjmsb2020.

Catalogue list

Concurrency bottom core articles:

 

Internet Application Framework:

 

Data processing articles:

 

List of contents

 

 

 

 

Write at the end

All the cases in this book are explained with the perfect structure of "theoretical explanation + environment setup + complete code and analysis + running screenshots". In addition, the complex cases are equipped with project structure diagrams, and the more difficult cases also analyze the underlying source code. The explanations of all cases have taken into account the various problems that readers may encounter. For example, when explaining MapReduce, considering that some readers may not have a Linux foundation, I explained how to install the Linux system environment on a virtual machine (and explained the two common versions of CentOS 6 and CentOS 7) and Linux in very concise sentences Common operations, and the scope of the explanation of Linux is limited to the scope of MapReduce, to ensure that the focus of the explanation does not deviate.

• If you want to quickly realize some functions by reading this book, just follow the operation steps and source code input in the book.

• If you want to learn some of the techniques in the book in depth, you can carefully read the knowledge points, diagrams, source code and analysis process in the book, and verify the code through the running screenshots in the book. Of course, the relevant cases in the hands-on practice book are also indispensable.

• If you want to become a master of high concurrency or architecture design, you need to carefully study every sentence in the book, practice all the cases in the book, and apply this knowledge to your actual work.

If you want to increase your salary and move to another job, or have a dream of a big factory, then the experience of high concurrency with billions of traffic must be an indispensable piece. I hope this note can help you, bye~

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