Suscríbase al feed

Have no doubt, OpenShift is a great platform for running microservices-architectured applications! However, when it comes to Application Performance Management (APM) some may think there's an issue because no components are off-the-shelf in the platform. Indeed this makes sense because APM is a tricky problem and may be addressed in many ways depending on application technology - and after all, microservices architecture is also about picking the right technology for the right problem! ;-) However, this article introduces a quite non-intrusive solution for Spring Boot (and more generally servlet-based) microservices by using Hawkular APM.

Hawkular APM?

Hawkular logo

OpenShift provides a built-in monitoring tool called Hawkular. That tool is in charge of collecting metrics from Docker containers through the Kubernetes interface and storing, aggregating, and visualizing them. The metrics collected are CPU, Memory, Disk, and Network usage. Hawkular offers a "black-box" view of container performance but does not deal with application metrics like service performance or distribution of response time through application layers. For this specific case, the Hawkular community is working on another module called Hawkular APM that provides insight into the way an application executes across multiple (micro) services in a distributed (e.g. cloud) environment. Hawkular APM supports agent-based instrumentation for Java or API based metrics collection for other languages. It also supports distributed tracing frameworks like ZipKin or OpenTracing. It is not provided as a built-in module in OpenShift but it's really easy to set up on OpenShift and have a Java application being monitored without touching the source code.

OpenShift part setup

First of all, we assume you already have an OpenShift cluster running (through a complete installation, a local oc cluster up, the Red Hat Container Development Kit or something like Minishift). The first step is to install the Hawkular APM server that will be responsible for storing, aggregating and visualizing the application metrics.

The following commands can be issued in any OpenShift project/namespace of your choice.

# oc create -f
secret "hawkular-apm-admin-account" created
route "hawkular-apm" created
deploymentconfig "hawkular-apm" created
deploymentconfig "hawkular-apm-es" created
serviceaccount "hawkular-apm" created
serviceaccount "hawkular-apm-es" created
service "hawkular-apm" created
service "hawkular-apm-es" created

It's just as easy as this! The OpenShift template for Hawkular APM creates deployments for the server and Elasticsearch backend, services, and a route for accessing the server. Just use the created route within a browser and access the UI after having authenticated with default admin/password created. Here is the result on the screenshot below:

Hawkular APM UI without data

Container part setup

The next part of the process is to prepare a base Docker image for OpenShift that will be used for containerizing our Spring Boot applications from source. In OpenShift, this process of directly using sources and handling the Dockerization is called Source-to-image. For our Spring Boot / APM purpose, we will start from a base image handling basic Java Dockerization.

The goal of customization is just to retrieve the Hawkular APM Java agent and to make it available as a lib within the base image that will later contain our Spring Boot fat jar application. A little trick here is to temporarily switch to root user to chmod the Jar file correctly. Otherwise, JVM that will execute with other users not be able to read Java agent Jar during the boot. Here's the DockerFile:


ENV APM_VERSION=0.13.0.Final
ENV APM_AGENT=/libs/hawkular-apm-agent.jar


# Temporary switch to root
USER root

RUN chmod 444 /libs/hawkular-apm-agent.jar

# S2I requires a numeric, non-0 UID. This is the UID for the jboss user in the base image
USER 185

Now that you've got this file, you can produce your own base Docker image and store it into a Docker registry for a later use from OpenShift. You can use for example the Docker Hub registry.

# docker build -t lbroudoux/s2i-java-apm .
# ...
# docker push lbroudoux/s2i-java-apm
# ...

Finally, in order to use this newly-built image on OpenShift and to use it conveniently, we may want to create some ImageStreams and Templates. We're are not going in details on how to create those files. The one I have used for testing and demonstrating are available in my GitHub sample repository in the /openshift directory.

Just use these 2 files to declare resources in your OpenShift installation like this:

# oc create -f -n openshift
imagestream "spring-boot-apm" created
# oc create -f -n openshift
template "spring-boot-apm" created

Bring it all together!

It's now time to create a Spring Boot application to check everything is ok. For that, go to the project/namespace of your choice and use the spring-boot-apm template that is now available. The default for this template uses the sample Spring Boot microservices of my GitHub repository: You have nothing to change to have something running. After having pressed the Create button, the build starts (checking out sources, invoking maven build and so on...) and deployment should finish in a few minutes.

At that time, the application is up and you should have a microservice running at Check your exact route configuration through OpenShift console. However, if you check the Hawkular APM console again, you'll not notice anything new... That's because application performance management has not been turned on - it is disabled by default. In order to turn it on, go to your application deployment configuration and manage to add the environment variables like below:

Environment variables for enabling APM

In order to get APM up, you have to add these 4 variables:
- HAWKULAR_APM_URI: the HTTP URI for accessing your hawkular server (make sure to not use the HTTPS URL, I did not manage to got it working for now),
- HAWKULAR_APM_USERNAME: the username for connecting APM server, use default admin user,

- HAWKULAR_APM_PASSWORD: the password for connecting APM server, use default admin password,

- JAVA_OPTIONS: the JVM options for enabling Java agent, use -javaagent:/libs/hawkular-apm-agent.jar=boot:/libs/hawkular-apm-agent.jar that refers to the Hawkular agent previously added to image libs.

Once you've hit the Save button, the deployment is updated, a new container is deployed, and the Spring Boot application is now instrumented by a Hawkular Java agent. Make few calls to the previous "Hello World" microservice and go check the results in Hawkular APM... TADAM !

Hawkular APM UI now with data

As a result, you now have these nice performance metrics and charts available for all the services in your app. Most noteworthy this was done without a code change and can be enabled or disabled simply through environment variables.

Sobre el autor

Navegar por canal

automation icon


Las últimas novedades en la automatización de la TI para los equipos, la tecnología y los entornos

AI icon

Inteligencia artificial

Descubra las actualizaciones en las plataformas que permiten a los clientes ejecutar cargas de trabajo de inteligecia artificial en cualquier lugar

open hybrid cloud icon

Nube híbrida abierta

Vea como construimos un futuro flexible con la nube híbrida

security icon


Vea las últimas novedades sobre cómo reducimos los riesgos en entornos y tecnologías

edge icon

Edge computing

Conozca las actualizaciones en las plataformas que simplifican las operaciones en el edge

Infrastructure icon


Vea las últimas novedades sobre la plataforma Linux empresarial líder en el mundo

application development icon


Conozca nuestras soluciones para abordar los desafíos más complejos de las aplicaciones

Original series icon

Programas originales

Vea historias divertidas de creadores y líderes en tecnología empresarial