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Cloud Native Programming with Golang

You're reading from   Cloud Native Programming with Golang Develop microservice-based high performance web apps for the cloud with Go

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787125988
Length 404 pages
Edition 1st Edition
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Authors (2):
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Martin Helmich Martin Helmich
Author Profile Icon Martin Helmich
Martin Helmich
Mina Andrawos Mina Andrawos
Author Profile Icon Mina Andrawos
Mina Andrawos
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Toc

Table of Contents (13) Chapters Close

Preface 1. Modern Microservice Architectures FREE CHAPTER 2. Building Microservices Using Rest APIs 3. Securing Microservices 4. Asynchronous Microservice Architectures Using Message Queues 5. Building a Frontend with React 6. Deploying Your Application in Containers 7. AWS I – Fundamentals, AWS SDK for Go, and EC2 8. AWS II–S3, SQS, API Gateway, and DynamoDB 9. Continuous Delivery 10. Monitoring Your Application 11. Migration 12. Where to Go from Here?

Exporting metrics

As already shown, exporting metrics from your own application is easy, at least in principle. All your application needs to do is offer an HTTP endpoint that returns arbitrary metrics that can then be saved in Prometheus. In practice, this gets more difficult, especially when you care about the status of the Go runtime (for example, CPU and memory usage, Goroutine count, and so on). For this reason, it is usually a good idea to use the Prometheus client library for Go, which takes care of collecting all possible Go runtime metrics.

As a matter of fact, Prometheus is itself written in Go and also uses its own client library to export metrics about the Go runtime (for example, the go_memstats_alloc_bytes or process_cpu_seconds_total metrics that you have worked with before).

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