Book Image

Microservices Development Cookbook

By : Paul Osman
Book Image

Microservices Development Cookbook

By: Paul Osman

Overview of this book

Microservices have become a popular choice for building distributed systems that power modern web and mobile apps. They enable you to deploy apps as a suite of independently deployable, modular, and scalable services. With over 70 practical, self-contained tutorials, the book examines common pain points during development and best practices for creating distributed microservices. Each recipe addresses a specific problem and offers a proven, best-practice solution with insights into how it works, so you can copy the code and configuration files and modify them for your own needs. You’ll start by understanding microservice architecture. Next, you'll learn to transition from a traditional monolithic app to a suite of small services that interact to ensure your client apps are running seamlessly. The book will then guide you through the patterns you can use to organize services, so you can optimize request handling and processing. In addition this, you’ll understand how to handle service-to-service interactions. As you progress, you’ll get up to speed with securing microservices and adding monitoring to debug problems. Finally, you’ll cover fault-tolerance and reliability patterns that help you use microservices to isolate failures in your apps. By the end of this book, you’ll have the skills you need to work with a team to break a large, monolithic codebase into independently deployable and scalable microservices.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Collecting metrics with StatsD and Graphite


Metrics are numeric measurements over time. The most common types of metrics collected in our systems are counters, timers, and gauges. A counter is exactly what it sounds like, a value that is incremented a number of times over some time period. A timer can be used to measure recurring events in a system, such as the amount of time it takes to serve a request or perform a database query. Gauges are just arbitrary numeric values that can be recorded.

StatsD is an open source network daemon invented in 2011 at Etsy. Metrics data is pushed to a statsd server, often on the same server, which aggregates data before sending it on to a durable backend. One of the most common backends used with statsd is Graphite, an open source time-series storage engine and graphing tool. Together, Graphite and StatsD make up a very popular metrics stack. They're easy to get started with and enjoy large communities and a large selection of tools and libraries.

Spring...