This is how our yml file look like: global: Spring Boot actuator end point for the Prometheus server. How frequently a server will scrape the data.We will set up all the configuration in this file including We will create a file name prometheus.yml. Next step is to configure the Prometheus server. If you are not comfortable with Docker, you can configure and setup the Prometheus server without Docker. I assume that you know the Docker basics. This is how the output might look like in your local machine: Once the download is complete, you can check the local copy of the image by running the $ docker image ls command. You can find more details on the official site.To download the docker image, run the following command on your local machine $ docker pull prom/prometheus Let download and setup the Prometheus server on our machine. # HELP process_files_open_files The open file descriptor count # HELP process_uptime_seconds The uptime of the Java virtual machine # TYPE jvm_classes_unloaded_classes_total counter # HELP jvm_classes_unloaded_classes_total The total number of classes unloaded since the Java virtual machine has started execution Let’s clock on the end point to see the end point metrics: # HELP jvm_memory_used_bytes The amount of used memory Let’s open the to see actuator end points:Ĭlick on the to see the data exposed by the prometheus endpoint.It exposed the data in the same format a Prometheus server can scrap. Let’s explore the Spring Boot actuator Prometheus end point. Add a registry to collect and export the data for the Prometheus server.Automatically configure a PrometheusMeterRegistry.Once we add above entry to the pom.xml file, Spring Boot will perform the following important tasks for our application: To expose the Prometheus end point for the actuator, let’s add the micrometer-registry-prometheus dependency in the pom.xml file. To exposes metrics in a format Prometheus server can scrape, we need to add the micrometer-registry-prometheus dependency in the pom.xml file. This will add the actuator feature to our Spring Boot application. To enable these features in our application, we need to add spring-boot-starter-actuator in the pom.xml. Multiple modes of graphing and dash boarding support.Īll the actuators production-grade features provided through the spring-boot-actuator starter.Targets discovered via service discovery or static configuration.Pushing time series supported via an intermediary gateway. Time series collection happens via a pull model over HTTP.No reliance on distributed storage single server nodes are autonomous.PromQL, a flexible query language to leverage this dimensionality.A multi-dimensional data model with time series data identified by metric name and key/value pairs.Prometheus is an open-source systems monitoring and alerting toolkit originally built at SoundCloud. I assume that you know of the Prometheus monitoring system or at least heard about it. We will have the Prometheus dashboard showing the data generated from the Spring Boot application. In this article, we will learn to i ntegrate spring boot actuator with Prometheus. Monitoring our production environment is critical especially when we have multiple services and each service is critical for the overall system functionality and performance. It will help us check and manage our application in the production environment. Spring Boot Actuator provides production-ready features for Spring Boot application. This help us notice any error or performance issue with the application. Monitoring the application health is important on the production environment. In this article of Spring Boot, we will integrate Spring Boot actuator with Prometheus.
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