permalink |
---|
/guides/collection-microprofile/ |
Developing cloud native microservices with the Kabanero Eclipse MicroProfile Collection and Appsody CLI
Note
|
This repository contains the guide documentation source. To view the guide in published form, view it on the website. |
Explore how to use the Kabanero Eclipse MicroProfile Collection and Appsody CLI to create, run, update, deploy, and deliver cloud native microservices.
You will learn how to create and run a simple cloud native microservice. Then, you’ll update the microservice that you created and deploy it to Kubernetes or Knative. This will all be done by using the Eclipse MicroProfile Kabanero Collection with the Appsody CLI.
Kabanero’s Eclipse MicroProfile Collection provides a stack that enables the development and optimization of microservices. Applications are written based on the Eclipse MicroProfile API specifications, built and run with the Open Liberty runtime, and deployed with the Kabanero deployment model into your application development cluster.
-
Docker must be installed.
-
Appsody must be installed.
-
Optional: If you have a repository that contains a set of custom collections, then you need the URL where the collections'
index.yaml
file is available. Use this URL to make your custom collections available with the Appsody CLI. -
Optional: If you are testing multiple microservices together, then you must have access to a local Kubernetes cluster for local development. If you are using Docker Desktop, you can enable Kubernetes from the menu by selecting Preferences → Kubernetes → Enable Kubernetes.
-
Optional: If your Kabanero instance is used by your team for team-based development, then you must have access to the application cluster that is provided by your administrator.
Note: The use of the public Kabanero Collection Hub is only for the purposes of this guide. It is recommended that you make a private copy of the Kabanero Collection Hub and use it in the same way. However, this demonstration does not require that you make your own copy.
Add your Kabanero index to the Appsody CLI. The following example uses the public index for Kabanero Version 0.1.2.
To check the repositories that Appsody can already access, run the following command:
appsody repo list
You see an output similar to the following example:
appsody repo list
NAME URL
*appsodyhub https://github.com/appsody/stacks/releases/latest/download/incubator-index.yaml
Next, run the following command to add the Kabanero index:
appsody repo add kabanero https://github.com/kabanero-io/collections/releases/download/v0.1.2/kabanero-index.yaml
Check the existing repositories to see that it was added:
appsody repo list
NAME URL
*appsodyhub https://github.com/appsody/stacks/releases/latest/download/incubator-index.yaml
kabanero https://github.com/kabanero-io/collections/releases/download/v0.1.2/kabanero-index.yaml
In this example, the asterisk (*) shows that appsodyhub
is the default repository. Run the following command to set the Kabanero index as the default repository:
appsody repo set-default kabanero
Check the existing repositories to see that it was updated:
appsody repo list
NAME URL
appsodyhub https://github.com/appsody/stacks/releases/latest/download/incubator-index.yaml
*kabanero https://github.com/kabanero-io/collections/releases/download/v0.1.2/kabanero-index.yaml
Recommendation: The collections in the Kabanero Collection Hub are the only repositories that the application cluster supports. Because these repositories are the collections that the solution architect curated for your business’s use, it’s best to remove appsodyhub
from the list of supported tasks.
appsody repo remove appsodyhub appsody repo list NAME URL *kabanero https://github.com/kabanero-io/collections/releases/download/v0.1.2/kabanero-index.yaml
Your Appsody CLI is now configured to use the Kabanero Collections. Next, you need to initialize your project.
First, create a directory that will contain the project:
mkdir -p ~/projects/simple-microprofile cd ~/projects/simple-microprofile
Run the following command to initialize the project with the Appsody CLI:
appsody init java-microprofile
The output from the command varies depending on whether you have an installation of Java and Maven on your system. If Java and Maven are installed on your system, you see an output similar to the following example:
[InitScript] [INFO] -------------------< dev.appsody:java-microprofile >--------------------
[InitScript] [INFO] Building java-microprofile 0.2.11
[InitScript] [INFO] --------------------------------[ pom ]---------------------------------
[InitScript] [INFO]
[InitScript] [INFO] --- maven-enforcer-plugin:3.0.0-M2:enforce (enforce-versions) @ java-microprofile ---
[InitScript] [INFO] Skipping Rule Enforcement.
[InitScript] [INFO]
[InitScript] [INFO] --- maven-install-plugin:2.4:install (default-install) @ java-microprofile ---
[InitScript] [INFO] Installing /Users/myuser/projects/simple-microprofile/.appsody_init/pom.xml to /Users/myuser/.m2/repository/dev/appsody/java-microprofile/0.2.11/java-microprofile-0.2.11.pom
[InitScript] [INFO] ------------------------------------------------------------------------
[InitScript] [INFO] BUILD SUCCESS
[InitScript] [INFO] ------------------------------------------------------------------------
[InitScript] [INFO] Total time: 0.648 s
[InitScript] [INFO] Finished at: 2019-09-13T10:17:55+01:00
[InitScript] [INFO] ------------------------------------------------------------------------
Successfully initialized Appsody project
If Java and Maven are not installed on your system, you see an output similar to the following example:
[InitScript] Unable to find any JVMs matching version "(null)".
[InitScript] No Java runtime present, try --request to install.
[InitScript] Unable to find a $JAVA_HOME at "/usr", continuing with system-provided Java...
[InitScript] No Java runtime present, requesting install.
[Warning] The stack init script failed: exit status 1
[Warning] Your local IDE may not build properly, but the Appsody container should still work.
[Warning] To try again, resolve the issue then run `appsody init` with no arguments.
Your project is now initialized.
For context, the following image displays the structure of the project that you’re working on:
It contains the following artifacts:
-
StarterApplication.java
, a JAX-RS Application class -
server.xml
, an Open Liberty server configuration file -
index.html
, a static HTML file -
pom.xml
, a project build file
Run the following command to start the Appsody development environment:
appsody run
The Appsody CLI launches a local Docker image that contains an Open Liberty server that hosts the microservice. After some time, you see a message similar to the following example:
[Container] [INFO] [AUDIT ] CWWKF0011I: The defaultServer server is ready to run a smarter planet. The defaultServer server started in 20.235 seconds.
This message indicates that the server is started and you are ready to begin developing your application.
Now you can create your business logic. Typically, you put your business logic in a JAX-RS resource. First, you need to add a REST endpoint.
Create a StarterResource.java
class in the src/main/java/dev/appsody/starter
directory. Open the file, populate it with the following code, and save it:
package dev.appsody.starter;
import javax.ws.rs.GET;
import javax.ws.rs.Path;
@Path("/resource")
public class StarterResource {
@GET
public String getRequest() {
return "StarterResource response";
}
}
After you save, the source compiles and the application updates. You see messages similar to the following example:
[Container] [INFO] [AUDIT ] CWWKT0017I: Web application removed (default_host): http://85862d8696be:9080/
[Container] [INFO] [AUDIT ] CWWKZ0009I: The application starter-app has stopped successfully.
[Container] [INFO] [AUDIT ] CWWKT0016I: Web application available (default_host): http://85862d8696be:9080/
[Container] [INFO] [AUDIT ] CWWKZ0003I: The application starter-app updated in 0.988 seconds.
Now if you browse to the http://localhost:9080/starter URL, you no longer see the HTTP 500
error. The resource that you just added is available at the starter/resource
URL path. Go to the http://localhost:9080/starter/resource URL to see the following resource response:
StarterResource response
Try changing the message in the StarterResource.java
file, saving, and refreshing the page. You’ll see that it takes only a few seconds for the change to take effect.
After you build the application and perform unit testing that involves testing the container in isolation, test the application as part of the overall system. To test the application as part of the system, deploy the system and then the new application. You can choose how you want to deploy the system and application. If you have adequate CPU and memory to run Minishift, the application, and the associated services, then you can deploy the application on a local Kubernetes that is running on your computer. You can also deploy the system, the application, and the associated services in a private namespace on the server environment that is set up on the development cluster.
After you finish writing your application code, the Appsody CLI makes it easy to deploy to a Kubernetes cluster for further testing. Ensure that your kubectl
command is configured with cluster details, and run the following command to deploy your application:
appsody deploy
This command builds a new Docker image that is optimized for production deployment and deploys the image to your local Kubernetes cluster. After some time you see a message similar to the following example:
Deployed project running at http://localhost:30262
Run the following command to check the status of the application pods:
kubectl get pods
You see an output similar to the following example:
NAME READY STATUS RESTARTS AGE
appsody-operator-859b97bb98-htpgw 1/1 Running 0 3m2s
simple-microprofile-77d6868765-xkcpk 1/1 Running 0 31s
The pod that is related to your deployed application is similar to the following pod:
simple-microprofile-77d6868765-xkcpk 1/1 Running 0 31s
After the simple-microprofile
pod starts, go to the URL that was returned after you ran the appsody deploy
command, and you see the Appsody microservice splash screen. To see the response from your application, point your browser to <URL_STRING>/starter/resource
, where <URL_STRING>
is the URL that was returned. For example, the http://localhost:30262 URL was returned in the previous example. Go to the http://localhost:30262/starter/resource URL to see the deployed application response.
Use the following command to stop the deployed application:
appsody deploy delete
After you run this command, and the deployment is deleted, you see the following message:
Deployment deleted
You can also choose to deploy the application with Knative Serving. To deploy the application with Knative Serving, you must first install Knative in your Kubernetes cluster. For information about installing Knative, see the Knative documentation. When Knative is installed, run the following command to generate an app-deploy.yaml
file:
appsody deploy —generate-only
Open the app-deploy.yaml
file that you generated and add the following information to the spec definition:
createKnativeService: true
Run the following command to deploy the application from your local image registry:
appsody deploy --tag dev.local/simple-microprofile --namespace <namespace>
Alternatively, run the following command to deploy the application from Docker Hub:
appsody deploy --push -—tag <my-account>/simple-microprofile --namespace <namespace>
After the application deploys, you see a message similar to the following example that details the serving URL:
Deployed project running at "http://simple-microprofile.knative-serving.192.168.1.10.nip.io"
To see the response from your application, point your browser to <URL_STRING>/starter/resource
, where <URL_STRING>
is the URL that was returned in the previous step.
After you develop and test your application, it’s time to deliver it to your enterprise’s deployment pipeline. Operations teams can configure the webhook on the Git repository that triggers the pipeline. To deliver it to the pipeline, push the project to the pre-configured Git repository. The pipeline then builds and deploys the application.