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Hands-On Software Engineering with Golang

Hands-On Software Engineering with Golang

By : Achilleas Anagnostopoulos
3.6 (8)
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Hands-On Software Engineering with Golang

Hands-On Software Engineering with Golang

3.6 (8)
By: Achilleas Anagnostopoulos

Overview of this book

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.
Table of Contents (21 chapters)
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1
Section 1: Software Engineering and the Software Development Life Cycle
3
Section 2: Best Practices for Maintainable and Testable Go Code
7
Section 3: Designing and Building a Multi-Tier System from Scratch
14
Section 4: Scaling Out to Handle a Growing Number of Users
18
Epilogue

Graph-Based Data Processing

"Big data is at the foundation of all of the megatrends that are happening today, from social to mobile to the cloud to gaming."
- Chris Lynch

Ask any highly successful company out there and they will all unequivocally agree that data is a precious commodity. Companies use data to not only make informed short-term decisions that affect their day to day operations but also as a guide for shaping their strategy in the long term. In fact, in some industries (such as advertising), data is the product!

Nowadays, with the advent of cheap storage solutions, the collection of data has increased exponentially in comparison to the last few years. Furthermore, the rate of increase in storage requirements is expected to keep following an exponential curve well into the future.

While there are quite a few solutions for processing structured data (such...

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