A Prometheus gauge is a specific type of metric used for measurements. That means your service always returns to Prometheus the current value of whatever it is you’re measuring. Prometheus is regularly scraping your service for metrics though, and when your gauge’s current value is returned Prometheus stores this against the current time. You’ll then be able to run queries against Prometheus to see what’s happening to your gauge over time....
Having Prometheus automatically discover your AWS ECS services makes life a lot easier since you don’t have to manage Prometheus target configurations across environments. Although Prometheus doesn’t provide it out-of-the-box, in this article you’ll discover exactly how to setup service discovery for ECS by combining a few simple tools. By the end, we’ll have a full working example with Prometheus running in AWS ECS and discovering other ECS services whose metrics we’re interested in....
Prometheus is an excellent tool for gathering metrics from your application so that you can better understand how it’s behaving. When deciding how to publish metrics, you’ll have 4 types of metrics to choose from. In this article you’ll discover what are the different types of Prometheus metrics, how to decide which one is right for a specific scenario, and how to query them. Overview Prometheus is a standalone service which scrapes metrics from whatever applications you’ve configured....
As part of a monitoring solution you’ll need a service to pull metrics from your applications, store them, and provide an easy way to query them. Prometheus is a tool which allows you to do all three. In this article you’ll learn all about Prometheus, how to set it up, point it to your application, and query it. If you want to see the high level overview of a complete monitoring solution for Spring Boot, check out last week’s blog post....