Скачать или смотреть How to Effectively Divide Two Sets of Data in Grafana: From Memory Usage to Percentage

Discover the step-by-step guide on how to divide two sets of data in Grafana, specifically for calculating memory usage percentages across different machines.
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Understanding the Challenge: Calculating Memory Usage Percentage in Grafana

When monitoring system performance, especially in environments with multiple machines, understanding memory usage becomes crucial. Suppose you have several machines, each with different memory capacities. You've managed to get the memory usage in bytes from a specific process, but you need to display this information as a percentage of the total memory of each machine. The catch? You don’t have the permissions needed to adjust the target process or query the total memory directly. So, how can you achieve this in Grafana?

In this guide, we'll explore a practical solution that allows you to divide your data effectively within Grafana, particularly using Prometheus as a data source. Let’s delve into the steps you can follow.

The Problem Breakdown

In your situation, you have:

Memory usage in bytes from various processes running on your machines.

Constant total memory sizes for those machines, which you can define manually.

Your goal is to express the memory usage as a percentage of total memory available for each machine.

Traditional Approach to Divide Memory Data

While it may seem tricky to tackle this challenge in Grafana, a straightforward method exists. Here are the steps to take:

Step 1: Create Queries for Each Machine

Given that you have five machines, you will need to create individual queries for each one. You can achieve this through the following queries:

Query for Machine A: memory{label=a} / valueA

Query for Machine B: memory{label=b} / valueB

Query for Machine C: memory{label=c} / valueC

Query for Machine D: memory{label=d} / valueD

Query for Machine E: memory{label=e} / valueE

Step 2: Define Constants for Total Memory

Make sure to define your constant values of total memory sizes somewhere in your Grafana setup, such as in the variables section. These constants will be used to divide the memory values collected from each machine's specific query.

Example of Defining Queries

Using the queries outlined above, if your constant values are:

valueA = 1000

valueB = 1000

valueC = 2000

valueD = 5000

valueE = 2000

Then you would essentially create a unique division per machine to yield its memory usage as a percentage.

Step 3: Display Results

Once you have set up the individual queries and assigned the constants, you can visualize these results in a Grafana panel. Each panel can show memory usage as a percentage, making it more intuitive to monitor your machines' performance.

Conclusion

While there may not be a one-size-fits-all solution for dividing two sets of data in Grafana, using individual queries along with defined constants is a robust method to achieve your goal of displaying memory usage as a percentage. By leveraging Grafana’s capabilities with Prometheus, you can gain valuable insights into your system performance without the need for additional privileges.

Now that you know how to approach the problem, you can apply these methods in your Grafana dashboards to ensure efficient monitoring of your machines. Happy graphing!