This chapter will discuss reactive programming design patterns in Go. Reactive programming is a programming concept that focuses on data streams and the propagation of change (https://en.wikipedia.org/wiki/Reactive_programming). Technologies such as Kafka allow you to quickly produce or consume a stream of data. As a result, these technologies are a natural fit for one another. In the Connecting Kafka to Goflow recipe, we'll explore combining a kafka message queue with goflow to show a practical example of using these technologies. This chapter will also explore various ways to connect with Kafka and use it to process messages. Lastly, this chapter will demonstrate how to create a basic graphql server in Go.
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