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Using Prometheus for Performance Evaluation

Let’s learn how to use Prometheus and the runtime/metrics package for performance evaluation.

We'll cover the following...

The runtime/metrics package
Coding example
Let’s try our code

Imagine that we have an application that writes files to disk, and we want to get metrics for that application to better understand how the writing of multiple files has an effect on the general performance—we need to gather performance data for understanding the behavior of our application. Although the presented application uses the gauge type of metric only because it is what is appropriate for the information that is sent to Prometheus, Prometheus accepts many types of data. The list of supported data types for metrics is the following:

Counter: This is a cumulative value that is used for representing increasing counters—the value of a counter can stay the same, go up, or be reset to zero but cannot decrease. Counters are usually used for representing cumulative values such as the number of requests served so far, the ...

Course Introduction

Introduction to Go

Basic Go Data Types

Composite Data Types

Reflection and Interfaces

Go Packages and Functions

Telling a UNIX System What to Do

Go Concurrency

Building Web Services

Working with TCP/IP and WebSocket

Working with REST APIs

Code Testing and Profiling

Working with gRPC

Go Generics

Conclusion

Appendix A—Go Garbage Collector

Using Prometheus for Performance Evaluation