Raft is a consensus algorithm that allows distributed systems to keep a shared and managed state (https://raft.github.io/). Setting up a Raft system is complex in many ways, for one you need consensus for an election to occur and succeed. This can be difficult to bootstrap when working with multiple nodes and it can be difficult to get started. A basic cluster can be run on a single node/leader, but if you want redundancy, at least three nodes allows for a single node failure.
This recipe implements a basic in-memory Raft cluster, constructs a state machine that can transition between certain allowed states, and connects the distributed state machine to a web handler that can trigger the transition. This can be useful when you're implementing the base finite state machine interface that Raft requires or when testing. This recipe uses...
Go Cookbook
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Go Cookbook
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Overview of this book
Go (a.k.a. Golang) is a statically-typed programming language first developed at Google. It is derived from C with additional features such as garbage collection, type safety, dynamic-typing capabilities, additional built-in types, and a large standard library.
This book takes off where basic tutorials on the language leave off. You can immediately put into practice some of the more advanced concepts and libraries offered by the language while avoiding some of the common mistakes for new Go developers.
The book covers basic type and error handling. It explores applications that interact with users, such as websites, command-line tools, or via the file system. It demonstrates how to handle advanced topics such as parallelism, distributed systems, and performance tuning. Lastly, it finishes with reactive and serverless programming in Go.
Table of Contents (14 chapters)
Preface
Free Chapter
I/O and File Systems
Command-Line Tools
Data Conversion and Composition
Error Handling in Go
All about Databases and Storage
Web Clients and APIs
Microservices for Applications in Go
Testing
Parallelism and Concurrency
Distributed Systems
Reactive Programming and Data Streams
Serverless Programming
Performance Improvements, Tips, and Tricks
Customer Reviews