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Hands-On Software Engineering with Golang
Hands-On Software Engineering with Golang

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

"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...

What is software engineering?

Before we dive deeper into this chapter, we need to establish an understanding of some of the basic terms and concepts around software engineering. For starters, how do we define software engineering and in what ways does it differ from software development and programming in general? To begin answering this question, we will start by examining the formal definition of software engineering, as published in IEEE's Standard Glossary of Software Engineering Terminology [7]:

"Software engineering is defined as the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software."

The main takeaway from this definition is that authoring code is just one of the many facets of software engineering. At the end of the day, any capable programmer can take a well-defined specification and...

Types of software engineering roles

As we discussed in the previous section, software engineering is an inherently complex, multi-stage process. In an attempt to manage this complexity, organizations around the world have invested a lot of time and effort over the years to break the process down into a set of well-defined stages and train their engineering staff to efficiently deal with each stage.

Some software engineers strive to work across all the stages of the Software Development Life Cycle (SDLC), while others have opted to specialize in and master a particular stage of the SDLC. This gave rise to a variety of software engineering roles, each one with a different set of responsibilities and a required set of skills. Let's take a brief look at the most common software engineering roles that you may encounter when working with both small- and large-sized organizations...

A list of software development models that all engineers should know

The software engineering definition from the previous section alludes to the fact that software engineering is a complicated, multi-stage process. In an attempt to provide a formal description of these stages, academia has put forward the concept of the SDLC.

The SDLC is a systematic process for building high-quality software that matches the expectations of the end user or customer while ensuring that the project's cost stays within a reasonable bound.

Over the years, there has been an abundance of alternative model proposals for facilitating software development. The following diagram is a timeline illustrating the years when some of the most popular SDLC models were introduced:

Figure 1: A timeline for the software development models that will be presented in this chapter

In the upcoming sections, we...

Summary

Through the course of this chapter, we briefly discussed the different types of roles that you may encounter when working with companies of various sizes, as well as the special set of skills that each role depends on.

We started by examining a broad list of popular models, methodologies, and frameworks for delivering software, ranging from the traditional models that advocate a top-bottom approach (waterfall, iterative enhancement) to agile models that are better suited for the fast-paced and constantly changing environment that contemporary organizations operate in.

By reaching the end of this chapter, you should have acquainted yourself with the pros and cons of each model and the situations where each model should be applied. I sincerely hope that this knowledge will prove useful the next time you need to decide on which software development model to use for your next...

Questions

  1. What is the definition of software engineering?
  2. What are some of the questions that every SWE should be able to answer?
  3. Compare the role of an SWE and an SRE. What are the key differences between the two roles?
  4. Name some of the deficiencies of the waterfall model. Explain how the iterative enhancement model attempts to address those deficiencies.
  5. What are the most common sources of waste according to the lean development model?
  6. Provide an example where focusing all the optimization efforts on a single step of the development process can have a negative effect on the efficiency of the end-to-end process.
  7. What are the key responsibilities of the PO and the SM in the Scrum framework?
  8. What is the role of retrospectives in Scrum? What topics should the team be discussing and what should be the expected outcome of each retrospective session?
  9. Why are automation and measuring...

Further reading

  1. Anderson, David: Kanban: Successful Evolutionary Change in Your Technology Business: Blue Hole Press, 2010 — ISBN 0984521402 (https://www.worldcat.org/title/kanban-successful-evolutionary-change-in-your-technology-business/oclc/693773272).
  2. Basili, R.; Turner, J.: Iterative Enhancement: A Practical Technique for Software Development. In: IEEE Transactions on Software Engineering Vol. 1 (1975), pp. 390–396.
  1. Beck, Kent; Beedle, Mike; Bennekum, Arie van; Cockburn, Alistair; Cunningham, Ward; Fowler, Martin; Grenning, James; Highsmith, Jim; et al.: Manifesto for Agile Software Development.
  2. Beyer, Betsy; Jones, Chris; Petoff, Jennifer; Murphy, Niall Richard: Site Reliability Engineering: How Google Runs Production Systems. (https://landing.google.com/sre/sre-book/toc/index.html) (https://www.worldcat.org/title/site-reliability-engineering/oclc/1112558638...
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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.

Who is this book for?

This Golang programming book is for medium to advanced users who want to delve deeper into the best practices of using Golang to build complex distributed systems effectively. Knowledge of Go programming and the basics of software development is required.

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

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 24, 2020
Length: 640 pages
Edition : 1st
Language : English
ISBN-13 : 9781838550240
Vendor :
Google
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Product Details

Publication date : Jan 24, 2020
Length: 640 pages
Edition : 1st
Language : English
ISBN-13 : 9781838550240
Vendor :
Google
Category :
Languages :

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Table of Contents

20 Chapters
Section 1: Software Engineering and the Software Development Life Cycle Chevron down icon Chevron up icon
A Bird's-Eye View of Software Engineering Chevron down icon Chevron up icon
Section 2: Best Practices for Maintainable and Testable Go Code Chevron down icon Chevron up icon
Best Practices for Writing Clean and Maintainable Go Code Chevron down icon Chevron up icon
Dependency Management Chevron down icon Chevron up icon
The Art of Testing Chevron down icon Chevron up icon
Section 3: Designing and Building a Multi-Tier System from Scratch Chevron down icon Chevron up icon
The Links 'R'; Us Project Chevron down icon Chevron up icon
Building a Persistence Layer Chevron down icon Chevron up icon
Data-Processing Pipelines Chevron down icon Chevron up icon
Graph-Based Data Processing Chevron down icon Chevron up icon
Communicating with the Outside World Chevron down icon Chevron up icon
Building, Packaging, and Deploying Software Chevron down icon Chevron up icon
Section 4: Scaling Out to Handle a Growing Number of Users Chevron down icon Chevron up icon
Splitting Monoliths into Microservices Chevron down icon Chevron up icon
Building Distributed Graph-Processing Systems Chevron down icon Chevron up icon
Metrics Collection and Visualization Chevron down icon Chevron up icon
Epilogue Chevron down icon Chevron up icon
Assessments Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

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(8 Ratings)
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2 star 12.5%
1 star 25%
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Amazon Customer Oct 03, 2023
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
The Github repo provided for this book doesn't work. It's using deprecated libraries, running `make` doesn't build the app, and there are no instructions on how to actually get it running. If you can't run the project, then that defeats the whole point of the book.
Amazon Verified review Amazon
Calvin Colton Nov 07, 2022
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
The first four chapters of this book are just general information pertaining to the software engineering profession, testing, principles, etc, which is somewhat helpful. However once we actually got down to the project, I wasn't sure if the code snippets were actual code we should be writing, or just an overview. I was left with so many questions, i.e.- How should we structure our project directory?- Do we need to import external go packages to make this work?- Why are code snippets incomplete? Should I be writing these incomplete functions? Will we fill it in later?You're left reviewing code in Github, which is organized only by chapter. What should the complete project actually look like? I don't know! Such a disappointment--getting 200 pages in just to realize it's probably not worth it to finish it.The gold standard for implementing a project in Go is definitely Alex Edward's Let's Go and Let's Go Further. I'm not sure why this is so difficult. I want practice building applications/programs from start to finish, and I'm not sure why this is so difficult to do. Tell the reader when to create a file, where it's located, what it looks like. Be explicit and complete. Try running it along the way. Make sure it works.A lot to be improved here. A bit disappointed with Packt.
Amazon Verified review Amazon
MT Oct 04, 2021
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A great book on creating scalable distributed systems in Go.
Amazon Verified review Amazon
dsp Mar 26, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
Zoltan G. Mar 03, 2021
Full star icon Full star icon Full star icon Full star icon Full star icon 5
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.
Amazon Verified review Amazon
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