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“Good weekend, everyone. Today we do a week’s summary according to our usual practice. The content of this summary, is this week’s 100 million level flow architecture column.

preface

Many students reflect that this week’s article is very brain-burning, read the clouds in the fog. The structure chart is too complex, involving too much technology, and all kinds of self-research technology, many friends laugh: is really proud jiao, a word is not from the research!

Indeed, it is hard to see the essence of the architecture without the chumming of this multi-billion traffic online business scenario.

Moreover, the text originally carries limited information, many details can not be clearly expressed through the text. The purpose of writing this column is to provide some ideas for those who are doing architecture design through the evolution of such a large system. I hope you can have more references when designing your own architecture.

OK, then we will simply review the summary of this week’s 5 billion flow architecture articles, and then to experience how the system is built into a solid wall step by step!

one

First, we talked about how to build a grassroots project from scratch into a robust system that can withstand hundreds of millions of streams.

Click the text below to jump to ↓↓↓

How to support the storage and computation of billions of data

two

Having supported billions of dollars of data storage and computing, a new question arises: how does the architecture avoid single points of failure? How to design an elastic computing resource scheduling mechanism? How to design a high fault tolerance mechanism? A new round of restructuring is imperative!

Click the text below to jump to ↓↓↓

How to design highly fault-tolerant distributed Computing Systems

three

Yet!!! With the development of the business, the system will face the high concurrency challenge of ten billion flow, at this time, the previous architecture will be unbearable. We need to do the separation of computation and storage, develop a pure in-memory SQL computing engine, do peak clipping and flow control for MQ, and restructure the system into a static and dynamic architecture. A new round of reconstruction, the development of business on the cusp!

Click the text below to jump to ↓↓↓

How to design a high-performance architecture for ten billion traffic

four

Once the above issues are resolved, the query problem arises again. How do we design a highly concurrent architecture that can support hundreds of thousands of queries per second? ElasticSearch+HBase+ pure memory query engine to solve the challenge of 100,000 queries per second!

Click the text below to jump to ↓↓↓

How to design a high concurrency architecture with 100,000 queries per second

five

Finally, we need to ensure that the 100 million traffic architecture is highly available! Through the design of MQ cluster high availability scheme, KV cluster high availability scheme, real-time computing link high availability scheme, hot and cold data high availability scheme, truly ensure the 100-million-level traffic architecture of the whole link 99.99% high availability.

Click the text below to jump to ↓↓↓

How to design a full link 99.99% high availability Architecture

END

Stay tuned:

ZooKeeper distributed lock implementation principle

If there is any harvest, please help to forward, your encouragement is the biggest power of the author, thank you!

A large wave of micro services, distributed, high concurrency, high availability of original series of articles is on the way

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Architecture Notes for Hugesia (ID: Shishan100)

More than ten years of EXPERIENCE in BAT architecture

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