Microservices Development Cookbook by Paul Osman

Author:Paul Osman
Language: eng
Format: mobi
Tags: COM060180 - COMPUTERS / Web / Web Services and APIs, COM051440 - COMPUTERS / Software Development and Engineering / Tools, COM051000 - COMPUTERS / Programming / General
Publisher: Packt Publishing
Published: 2018-08-30T12:20:18+00:00

Introduction

Reliability is becoming an increasingly popular topic in the world of distributed systems. Job postings for Site Reliability Engineers (SRE) or chaos engineers are becoming common, and as more and more organizations move toward cloud-native technologies, it's becoming impossible to ignore that system failure is always a reality. Networks will experience congestion, switches, other hardware components will fail, and a whole host of potential failure modes in systems will surprise us in production. It is impossible to completely prevent failures, so we should try to design our systems to be as tolerant of failure as possible.

Microservices provide interesting and useful opportunities to design for reliability. Because microservices encourage us to break our systems into services encapsulating single responsibilities, we can use a number of useful reliability patterns to isolate failures when they do occur. Microservice architectures also present a number of challenges when planning for reliability. Increased reliance on network requests, heterogeneous configurations, multiple data stores and connection pools, and different technical stacks all contribute to an inherently more complex environment where different styles of failure modes can surface.

Whether dealing with a microservice architecture or a monolith code base, we all find ourselves fundamentally surprised [1] (you can check this link for more information: https://www.youtube.com/watch?v=tZ2wj2pxO6Q) by the behavior of a system under some kind of failure state at one point or another. Building resiliency into our systems from the start allows us to optimize how we react in these situations. In this chapter, we'll discuss a number of useful reliability patterns that can be used when designing and building microservices to prepare for and reduce the impact of system failures, both expected and unexpected.

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