Book Image

Go for DevOps

By : John Doak, David Justice
5 (1)
Book Image

Go for DevOps

5 (1)
By: John Doak, David Justice

Overview of this book

Go is the go-to language for DevOps libraries and services, and without it, achieving fast and safe automation is a challenge. With the help of Go for DevOps, you'll learn how to deliver services with ease and safety, becoming a better DevOps engineer in the process. Some of the key things this book will teach you are how to write Go software to automate configuration management, update remote machines, author custom automation in GitHub Actions, and interact with Kubernetes. As you advance through the chapters, you'll explore how to automate the cloud using software development kits (SDKs), extend HashiCorp's Terraform and Packer using Go, develop your own DevOps services with gRPC and REST, design system agents, and build robust workflow systems. By the end of this Go for DevOps book, you'll understand how to apply development principles to automate operations and provide operational insights using Go, which will allow you to react quickly to resolve system failures before your customers realize something has gone wrong.
Table of Contents (22 chapters)
1
Section 1: Getting Up and Running with Go
10
Section 2: Instrumenting, Observing, and Responding
14
Section 3: Cloud ready Go

Instrumenting for metrics

Metrics are measurements at a given moment of a particular aspect of an application during runtime. An individual capture is called a metric event and consists of a timestamp, a measurement, and associated metadata. Metric events are used to provide an aggregated view of the behavior of an application at runtime. For example, a metric event can be a counter incremented by 1 when a request is handled by a service. The individual event is not especially useful. However, when aggregated into a sum of requests over a period of time, you can see how many requests are made to a service over that period of time.

The OpenTelemetry API does not allow for custom aggregations but does provide some common aggregations, such as sum, count, last value, and histograms, which are supported by backend visualization and analysis software such as Prometheus.

To give you a better idea of when metrics are useful, here are some example scenarios:

  • Providing the aggregate...