Time-series data stored by Prometheus in fact already is multi-dimensional. You can add dimensions to your data by adding labels to the metrics you expose. Take the Kubernetes API Server metric apiserver_request_total as an example. It exposes the count of requests that the API server received and enriches each data point with the following information […]
Author: Manuel
Data Discovery in Prometheus
In our first tries, we installed Prometheus on an Ubuntu box using apt to query the metrics exposed by this installation without the need of a full-fledged Kubernetes cluster. This was a good way to interact with a Prometheus deployment and allowed for fast iterations. However, being used to mostly the metrics exposed by Kubernetes […]
Platon Mk3 – The Beginning
Platon The Platon project aims at making Prometheus data more accessible and usable for all. By simplifying data modeling, analysis, and visualization, Platon empowers users to extract insights easily. With Platon, Prometheus data becomes a resource for everyone, driving informed decision-making and positive change. Join us in this transformative journey towards data accessibility and empowerment […]