This article takes the high-availability service architecture as the theme, and focuses on explaining the core points of the high-availability architecture design: scalability and scalability, from the application layer, database, cache, message queue, big data query system, distributed timing task scheduling system, micro Services and other levels explain in detail how to design a scalable and extensible framework, and give a summary of methodology and practice for solving specific problems in various fields. With the publication of this book, we have also open sourced 4 effective Internet scalable frameworks, including database sub-database sub-table dbsplit, cache sub-table redic, professional issuer Vesta and message queue processor framework kelient. Both frameworks are available out of the box, and can also be used as materials for learning the Internet platform framework, and can also be used as examples for developing open source projects.
Chapter 1 How to design a high-performance distributed number issuer that never repeats
- 1.1 Alternatives and technical selection
- 1.2 The basic needs of the distributed system for the issuer
- 1.3 Architecture design and core points
- 1.4 How to implement a multi-scene issuer according to the design
- 1.5 How to ensure performance requirements
- 1.6 How to let users quickly use
- 1.7 Provide users with AFI documents
Chapter 2 Design and Implementation of a Flexible and Extensible Message Queue Framework
- 2.1 Background introduction
- 2.2 Project goals
- 2.3 Architectural difficulties
- 2.4 Design and implementation
- 2.5 User Guide
- 2.6 Introduction to API
- 2.7 Message Processor Template Project
Chapter 3 Lightweight database sub-database sub-table architecture and framework
- 3.1 What is sub-database sub-table
- 3.2 Three divide and conquer solutions
- 3.3 Architecture design of sub-database and sub-table
- 3.4 First experience of popular proxy sharding framework ycat
- 3.5 First experience of the popular client sharding framework shar ding BC
- 3.6 Setting, implementation and use of self-developed client-side fragmentation framework dbsplit
Chapter 4 The essence of cache and the practice of using cache
- 4.1 Purpose and problems of using cache
- 4.2 Self-similar, CUP cache and system architecture cache
- 4.3 Commonly used distributed caching solutions
- 4.4 General method of distributed caching
- 4.5 Design and case of distributed cache
- 4.6 The design and implementation of the client-side cache fragmentation framework redic
Chapter 5 Elasticsearch, the Big Data Tool
- 5.1 Introduction to Lucene
- 5.2 Introduction to Elasticsear ch
- 5.3 Elasticsear ch actual combat
- 5.4 Performance tuning
Chapter 6 Fully Demystify Distributed Timing Tasks
- 6.1 What is a scheduled task
- 6.2 Distributed timing tasks
- 6.3 Usage of open source distributed timing tasks
Chapter 7 Development History and Comparative Analysis of RPC Service
- 7.1 What is FPC service
- 7.2 Principle of RPC service
- 7.3 Use RPC service in the program
- 7.4 Development History of RPC Service
- 7.5 Mainstream RPC framework
Chapter 8 Dubbo actual combat and source code analysis
- 8.1 Four configuration methods of Dubbo
- 8.2 Service registration and discovery
- 8.3 Discussion on Dubbo communication protocol and serialization
- 8.4 Efficient work/0 thread model in Dubbo
- 8.5 Cluster fault tolerance mechanism and load balancing
- 8.6 Monitoring and Operation and Maintenance Practice
- 8.7 Online Case Analysis of Dubbo Project
- 8.8 In-depth analysis of Dubbo source code and its implementation
Chapter 9 High-Performance Network Middleware
- 9.1 Exploration of the core principles and essence of TCF/UDF
- 9.2 Network test practice
- 9.3 Design and implementation of high-performance network framework
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