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Hands-On Software Engineering with Golang

You're reading from   Hands-On Software Engineering with Golang Move beyond basic programming to design and build reliable software with clean code

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Product type Paperback
Published in Jan 2020
Publisher Packt
ISBN-13 9781838554491
Length 640 pages
Edition 1st Edition
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Author (1):
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Achilleas Anagnostopoulos Achilleas Anagnostopoulos
Author Profile Icon Achilleas Anagnostopoulos
Achilleas Anagnostopoulos
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Software Engineering and the Software Development Life Cycle
2. A Bird's-Eye View of Software Engineering FREE CHAPTER 3. Section 2: Best Practices for Maintainable and Testable Go Code
4. Best Practices for Writing Clean and Maintainable Go Code 5. Dependency Management 6. The Art of Testing 7. Section 3: Designing and Building a Multi-Tier System from Scratch
8. The Links 'R'; Us Project 9. Building a Persistence Layer 10. Data-Processing Pipelines 11. Graph-Based Data Processing 12. Communicating with the Outside World 13. Building, Packaging, and Deploying Software 14. Section 4: Scaling Out to Handle a Growing Number of Users
15. Splitting Monoliths into Microservices 16. Building Distributed Graph-Processing Systems 17. Metrics Collection and Visualization 18. Epilogue
19. Assessments 20. Other Books You May Enjoy

Visualizing collected metrics using Grafana

By this point, you should have already selected a suitable metrics collection solution for your applications and instrumented your code base to emit the metrics that you are interested in tracking. To make sense of the collected data and reason about it, we need to visualize it.

For this task, we will be using Grafana [4] as our tool of choice. Grafana offers a convenient, end-to-end solution that can be used to retrieve metrics from a variety of different data sources and construct dashboards for visualizing them. The supported list of data sources includes Prometheus, InfluxDB, Graphite, Google Stackdriver, AWS CloudWatch, Azure Monitor, SQL databases (MySQL, Postgres, and SQL Server), and Elasticsearch.

If you have already set up one of the preceding data sources and want to evaluate Grafana, the easiest way to do so is to spin up...

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