In continuation with previous article ,we will see how we can monitor spring boot application developed in earlier post with actuator. We have already seen prometheus tool for monitoring application but as prometheus doesn’t provide better visualization experience, we have to go with other tools which has rich UI for better visualization of application metrics.
You can use Grafana for the better visualization .
While Prometheus does provide some crude visualization, Grafana offers a rich UI where you can build up custom graphs quickly and create a dashboard out of many graphs in no time. You can also import many community built dashboards for free and get going.
Grafana can pull data from various data sources like Prometheus, Elasticsearch, InfluxDB, etc. It also allows you to set rule-based alerts, which then can notify you over Slack, Email, Hipchat, and similar.
Let’s start with running Grafana using Doc
You can download grafana for windows using below link –
If you visit
http://localhost:3000, you will be redirected to a login page:
Default credentials to login are admin/admin .
Since Grafana works with many data sources, we need to define which one we’re relying on. In our case we have to select Prometheus as our data source:
Select Prometheus from below provided options –
Now, add the URL that Prometheus is running on, in our case http://localhost:9090 and select Access to be through a browser.
At this point, we can save and test to see if the data source is working correctly:
You can search for JVM (Micrometer) dashboard on grafana website and provide its ID in next step to import that dashboard into grafana –
You can find the dashboard ID as highlighted in below screenshot –
Click on highlighted plus icon and then import –
Select the Prometheus datasource name created in earlier steps as highlighted in below screenshot-
Once you click on import , your dashboard is ready . You can have a look at all the metrics exposed by prometheus on a single dashboard –
I hope this tutorial is helpful for you to configure your spring boot application with Grafana
In this article, we used Micrometer to reformat the metrics data provided by Spring Boot Actuator and expose it in a new endpoint. This data was then regularly pulled and stored by Prometheus, which is a time-series database. Ultimately, we’ve used Grafana to visualize this information with a user-friendly dashboard.
Monitoring an application’s health and metrics helps us manage it better, notice unoptimized behavior, and better understand its performance. This especially holds true when we’re developing a system with many microservices, where monitoring each service can prove to be crucial when it comes to maintaining our system.
Based on this information, we can draw conclusions and decide which microservice needs to scale if further performance improvements can’t be achieved with the current setup.
Github Downlod Link: