Continuous Delivery Best Practices

• Only build your binaries once
  • Covered by uploading jar to github in the end of the build Job
• Deploy the same way to every environment
  • Covered by using the same script to deploy both test and prod
• Smoke-test your deployments
  • Covered by running the smoke-tests after deploying to staging and prod
• Deploy into a copy of production
  • Covered by deploying to a CF, but different space
• Each change should propagate through the pipeline instantly
  • Covered by using the serial keyword on jobs
• If any part of the pipeline fails, stop the line
  • Covered by using the keyword passed when getting resources from previous jobs

Deployment pipeline

Requirements

In order to run this workshop you will need to have the following tools available in your local workstation:

• fly

Setup

fly is a command line interface that allows you to interact with Concourse.

Follow the steps below in order to configure fly:

1. Log into Concourse and add the Concourse server to your fly CLI target's list: fly -t comandante login --concourse-url https://play.comandante.ci/
2. Check that you have logged in successfully and your fly CLI can talk to Concourse: fly -t comandante status

1st step: create a job called build

In this step we are going to create a build job that will compile the application and run unit tests.

1. Clone this repository and create a file called pipeline.yml that you will use to create all your pipeline configuration
2. Edit the secrets.yml file and add your team name in there. You will need it in order to distiguish your pipeline in Concourse.
3. Create a Job called build with an empty Plan.
4. Set the pipeline with fly -t comandante set-pipeline -p <pipeline name> -c pipeline.yml -l secrets.yml.
5. Run fly -t comandante pipelines and observe that your pipeline was successfully created.
6. By default, pipelines are paused in Concourse when they are created. Run fly -t comandante unpause-pipeline -p <pipeline name> to unpause the pipeline.
7. Create a Git Resource for https:/spring-projects/spring-petclinic (more about Resources here).
8. Add a Task called package to the build Job. That task will run ./mvnw package inside a openjdk:8-jdk-slim Docker container.
9. Trigger the build Job and make sure it is green: fly -t comandante -j <pipeline name>/build
10. Create an output in the package Task to save the jar to our S3-compatible server using the s3-resource:

• You will need to declare the Resource in pipelines.yml and use:

regexp: ((team))/packages/spring-petclinic-(.*).jar

• You will need to create a put Step in the build Job which will upload the jar
• Then create the output that will make the jar inside the Task container available to the put Step
• You will find the credentials to an S3 bucket-like service in secrets.yml

2nd step: create a Job called deploy

In this step, we are going to deploy the app to a staging environment and run smoke-tests.

1. Create a Task called push-to-staging that will download the jar and deploy to a CloudFoundry staging environment:

• You will need to pass the jar produced in the previous Job (use the get Step and use the passed Parameter to instruct Concourse to use the Resource used by the previous Job)
• Use the governmentpaas/cf-cli Docker image (the cf CLI is available there)
• Here you can find some intructions on how to deploy an app to CF (use petclinic-((cf_staging_space))-((team)) as your app name
• You will find the CF credentials you need in secrets.yml (use params to pass the credentials to your Task commands).

1. Create a Task called smoke-test that will run smoke tests against the deployed application (this can be a curl call for now hitting the URL http://petclinic-((cf_staging_space))-((team)).((cf_app_domain)))
2. Set the pipeline and make sure it is green

3nd step: create a Job called test

In this step we are going to run acceptance/performance tests.

1. Create a Job called test. You will need to pass the jar we deployed to staging and the source code.

• We are not going to use the jar on this Job actually, but it needs to be here so we can pass it the the downstream Jobs
• We need the sourse code because the test plan we will use lives there

1. Create a Task to run the performance tests using PETCLINIC_HOST=localhost PETCLINIC_PORT=8080 jmeter -n -t src/test/jmeter/petclinic_test_plan.jmx -l $TMPDIR/log.jtl
2. Set the pipeline and make sure it is green

4th step: create a Job called deploy

In this step we are going to deploy the app to production.

1. Create a Job called deploy and get the jar from the previous Job
2. Create a Task called push-to-prod and push the jar to the prod Space in CloudFoundry (you will find the credentials in secrets.yml)
3. Set the pipeline and make sure it is green