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A Bird's-Eye View of Software Engineering

"Hiring people to write code to sell is not the same as hiring people to design and build durable, usable, dependable software."

- Larry Constantine ^[6]

Through the various stages of my career, I have met several people that knew how to code; people whose skill level ranged from beginner to, what some would refer to as, guru. All those people had different backgrounds and worked for both start-ups and large organizations. For some, coding was seen as a natural progression from their CS studies, while others turned to coding as part of a career change decision.

Regardless of all these differences, all of them had one thing in common: when asked to describe their current role, all of them used the term software engineer. It is quite a common practice for job candidates to use this term in their CVs as the means to set themselves...

Key benefits

Apply best practices to produce lean, testable, and maintainable Go code to avoid accumulating technical debt

Explore Go’s built-in support for concurrency and message passing to build high-performance applications

Scale your Go programs across machines and manage their life cycle using Kubernetes

Description

Over the last few years, Go has become one of the favorite languages for building scalable and distributed systems. Its opinionated design and built-in concurrency features make it easy for engineers to author code that efficiently utilizes all available CPU cores. This Golang book distills industry best practices for writing lean Go code that is easy to test and maintain, and helps you to explore its practical implementation by creating a multi-tier application called Links ‘R’ Us from scratch. You’ll be guided through all the steps involved in designing, implementing, testing, deploying, and scaling an application. Starting with a monolithic architecture, you’ll iteratively transform the project into a service-oriented architecture (SOA) that supports the efficient out-of-core processing of large link graphs. You’ll learn about various cutting-edge and advanced software engineering techniques such as building extensible data processing pipelines, designing APIs using gRPC, and running distributed graph processing algorithms at scale. Finally, you’ll learn how to compile and package your Go services using Docker and automate their deployment to a Kubernetes cluster. By the end of this book, you’ll know how to think like a professional software developer or engineer and write lean and efficient Go code.

What you will learn

Understand different stages of the software development life cycle and the role of a software engineer

Create APIs using gRPC and leverage the middleware offered by the gRPC ecosystem

Discover various approaches to managing package dependencies for your projects

Build an end-to-end project from scratch and explore different strategies for scaling it

Develop a graph processing system and extend it to run in a distributed manner

Deploy Go services on Kubernetes and monitor their health using Prometheus

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

Hands-On Software Architecture with Golang

€41.99

€36.99

Hands-On Software Engineering with Golang

€41.99

Total € 120.97

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MT Oct 04, 2021

A great book on creating scalable distributed systems in Go.

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dsp Mar 26, 2021

The book teaches you how to decompose and solve problems efficiently using microservices using golang.It showcases both how intelligently the language is designed (how easy it is to import for example a database, for a small part of platform, or a message queue for another) and also how good abstractions allow you to tackle complexity while maintaining proper code form.

Oleg Butuzov Aug 01, 2020

I am not the person who left reviews, I am the guy who reaches you on twitter/github/linkedin and thanks for book author. Which I did. Now time to review it?I don't like Packt books. Those are bad (with rare exceptions). This book is an exception I am talking about. It's not selling you some new wisdom, but split already known things (if you are already working in the field) into chewable chunks from the Chef. It's not only theory but also the practical part you will enjoy doing (I did spend some time of my life writing crawlers and spiders - hint, task author tell and mentor through it was a pleasure).Last, but not least - I did enjoyed the language it was written, easy, understandable English. I didn't expect this. I like it.P.S.Author, can you try to explain DDD in a separate book, it's going to be blockbuster!

Raj Nov 09, 2020

Disclaimer: I received a copy of this book to review.Very good concise introduction for Go. I've read a handful of Go books and this is one of the best introductions.The book targets a broad audience from an amateur and intermediate Go programmers as well as experienced developers in other programming languagesThe author's approach is clear, concise and extremely well organized. Some great examples in the book take the time to show a basic approach and how to grow it into well-formed, concurrent process. With that in mind, that is how the book is organized as well: taking a simplistic approach and growing into a much more sophisticated solution.I recommend this book as a first read that will enable you to understand the day to life life of a Software engineer and learn GoLang from the perspective of a Software Engineer.

Zoltan G. Mar 03, 2021

For me it was an instant 'click'. This book isn't simply about learning a programming language or a specific technology. Sure, if you go through the exercises you'll get to know Go Programming Language more intimately, but it also covers essential knowledge that helps through every stage of system design.It tells a story about how things can be built in a way that suits any given scale of operation. It shows common pitfalls and how to avoid them, and introduces engineering practices that ensure that what you create will work, and will be the right architecture for the requirements of your project. Technologies get obsolete quickly and tools are replaced by others but the content of the book stays relevant being a good guide on how to strike the right balance of simplicity and scaling.The reader will be able to go through the life-cycle of a complex project in a way that's likely applicable to most real-life software engineering project. From a simple 'proof of concept' to a large scale distributed system, most evolutionary steps are covered. The examples are detailed and it's worth spending time understanding the reasons behind each level of the design of the example project in the book.I'd recommend the book for engineers who see themselves in decision-making positions perhaps in a startup, maybe even with their own projects.The language of the book is not the simplest, takes a few pages to get used to the precise definitions.

Hands-On Software Engineering with Golang: Move beyond basic programming to design and build reliable software with clean code

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Hands-On Software Engineering with Golang

A Bird's-Eye View of Software Engineering

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