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Hands-On Software Architecture with Golang

Hands-On Software Architecture with Golang

By : Raiturkar
4 (12)
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Hands-On Software Architecture with Golang

Hands-On Software Architecture with Golang

4 (12)
By: Raiturkar

Overview of this book

Building software requires careful planning and architectural considerations; Golang was developed with a fresh perspective on building next-generation applications on the cloud with distributed and concurrent computing concerns. Hands-On Software Architecture with Golang starts with a brief introduction to architectural elements, Go, and a case study to demonstrate architectural principles. You'll then move on to look at code-level aspects such as modularity, class design, and constructs specific to Golang and implementation of design patterns. As you make your way through the chapters, you'll explore the core objectives of architecture such as effectively managing complexity, scalability, and reliability of software systems. You'll also work through creating distributed systems and their communication before moving on to modeling and scaling of data. In the concluding chapters, you'll learn to deploy architectures and plan the migration of applications from other languages. By the end of this book, you will have gained insight into various design and architectural patterns, which will enable you to create robust, scalable architecture using Golang.
Table of Contents (14 chapters)
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Consensus

Continuing with the sample system we looked at in the Consistency section, let's look at how these independent instances can reach an agreement. Agreements can take various forms, for example, if an email to a customer needs to be sent by a single service instance, then all the instances need to agree on which instance serves which customer.

Broadly, consensus is the process by which all nodes of a distributed system agree on some specific value for a variable. This seemingly simple problem finds large applicability in the field of distributed systems. Here are some examples:

  • Leader elections: In a cluster of nodes, choosing one who will handle the interactions
  • Distributed lock manager: Handling mutual exclusion between multiple machines
  • Distributed transactions: Consistent transactions across a set of machines

For the purpose of this discussion, let's assume...

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