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https://github.com/ammbra/micrometering-with-quarkus
This repository contains code referenced on https://dzone.com/articles/extra-micrometer-practices-with-quarkus
https://github.com/ammbra/micrometering-with-quarkus
metrics micrometer practices quarkus
Last synced: 3 months ago
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This repository contains code referenced on https://dzone.com/articles/extra-micrometer-practices-with-quarkus
- Host: GitHub
- URL: https://github.com/ammbra/micrometering-with-quarkus
- Owner: ammbra
- License: mit
- Created: 2021-02-20T13:53:16.000Z (almost 4 years ago)
- Default Branch: feature/techflow-code
- Last Pushed: 2022-06-16T10:17:14.000Z (over 2 years ago)
- Last Synced: 2023-02-26T23:22:56.010Z (almost 2 years ago)
- Topics: metrics, micrometer, practices, quarkus
- Language: Java
- Homepage:
- Size: 245 KB
- Stars: 2
- Watchers: 1
- Forks: 2
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# micrometering-with-quarkus project
Full details about this project can be found here: https://dzone.com/articles/extra-micrometer-practices-with-quarkus
This project uses Quarkus, the Supersonic Subatomic Java Framework.
If you want to learn more about Quarkus, please visit its website: https://quarkus.io/ .
## Running the application in dev mode
You can run your application in dev mode that enables live coding using:
```shell script
./mvnw compile quarkus:dev
```
## Packaging and running the application
The application can be packaged using:
```shell script
./mvnw package
```
It produces the `micrometering-with-quarkus-1.0.0-SNAPSHOT-runner.jar` file in the `/target` directory.
Be aware that it’s not an _über-jar_ as the dependencies are copied into the `target/lib` directory.
If you want to build an _über-jar_, execute the following command:
```shell script
./mvnw package -Dquarkus.package.type=uber-jar
```
The application is now runnable using `java -jar target/micrometering-with-quarkus-1.0.0-SNAPSHOT-runner.jar`.
## Setup Prometheus on Red Hat OpenShift Developer Sandbox
Once you have your Red Hat account, you can obtain free of charge a Sandbox by going to: https://developers.redhat.com/developer-sandbox/get-started.
For **development** purposes only, you can setup Prometheus by following the steps below:
* Make sure you are in *Developer* view.
* Click on **+Add** and select the **Container Images** card.
* Fill in the image name with **openshift/prometheus** and leave the other default values.
* Click on **Create** button.
* Next, open the web terminal by pressing the icon **>_** located in the upper right corner.
* Type the following commands there:
```shell script
curl https://raw.githubusercontent.com/ammbra/micrometering-with-quarkus/feature/techflow-code/kubefiles/prometheus.yaml -o prometheus.yaml
oc create cm prometheus-config --from-file=prometheus.yaml
oc set volume deployment/prometheus --add --name=prometheus-config --type=configmap --configmap-name=prometheus-config --mount-path=/etc/prometheus/
kubectl patch deployment prometheus \
--type=json \
-p='[{"op": "add", "path": "/spec/template/spec/containers/0/args/-", "value": "--config.file=/etc/prometheus/prometheus.yaml"}]'
oc expose svc prometheus
```
## Setup Grafana on Red Hat OpenShift Developer Sandbox
For **development** purposes only, you can setup Grafana by following the steps below:
* Make sure you are in *Developer* view.
* Click on **+Add** and select the **Container Images** card.
* Fill in the image name with **grafana/grafana:6.0.1** and leave the other default values.
* Click on **Create** button.
* Next, open the web terminal by pressing the icon **>_** located in the upper right corner.
* Type the following commands in the web terminal to get an external url where you can access Grafana:
```shell script
oc expose svc grafana
```
* Once you have the external URL to Grafana, open it in a browser tab and use the admin/admin default Grafana credentials.
* You can change the password used by admin after your first login.
* Next, add Prometheus as datasource in your Grafana by following the UI steps.
You can use the URL of the route to Prometheus for an easier connection.
* Next, you can import the **experimental** dashboard used in the demos by loading [Micrometer Sample.json](Micrometer Sample.json) via Upload .json file.
