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Hands-On Software Engineering with Golang

Move beyond basic programming to design and build reliable software with clean code

Paperback Engels 2020
Verkooppositie 5995
Verwachte levertijd ongeveer 12 werkdagen


- 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

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.

- 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


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Over Achilleas Anagnostopoulos

Achilleas Anagnostopoulos has been writing code in a multitude of programming languages since the mid 90s. His main interest lies in building scalable, microservice-based distributed systems where components are interconnected via gRPC or message queues. Achilleas has over 4 years of experience building production-grade systems using Go and occasionally enjoys pushing the language to its limits through his experimental gopher-os project: a 64-bit kernel written entirely in Go. He is currently a member of the Juju team at Canonical, contributing to one of the largest open source Go code bases in existence.

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1 Section 1: Software Engineering and the Software Development Life Cycle
2 A Bird's-Eye View of Software Engineering
3 Section 2: Best Practices for Maintainable and Testable Go Code
4 Best Practices for Writing Clean and Maintainable Go Code
5 Dependency Management
6 The Art of Testing
7 Section 3: Designing and Building a Multi-Tier System from Scratch
8 The Links 'R'; Us Project
9 Building a Persistence Layer
10 Data-Processing Pipelines
11 Graph-Based Data Processing
12 Communicating with the Outside World
13 Building, Packaging, and Deploying Software
14 Section 4: Scaling Out to Handle a Growing Number of Users
15 Splitting Monoliths into Microservices
16 Building Distributed Graph-Processing Systems
17 Metrics Collection and Visualization
18 Epilogue
19 Assessments
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