Continuous Deployment of your Application @SpringOne

Senior Platform Architect at Pivotal
Working on
● Pivotal Cloud Foundry
● Cloud Native Architecture
● Dev Practices Modernization
Twitter: @ciberkleid
About us

Spring Cloud developer at Pivotal
Working on
● Spring Cloud Sleuth
● Spring Cloud Contract
● Spring Cloud Pipelines
About us
Twitter: @mgrzejszczak
Blog: http://toomuchcoding.com

What problem are we trying to solve?

The necessity to create a deployment
pipeline from scratch for each new project

Spring Cloud Pipelines
• opinionated template of a deployment pipeline
• based on good practices from different projects
• we believe in the “Infrastructure as Code” approach
• in case of automation server going down you can recover everything in no time
• the automation server setup should be automated too!
• you can even write tests for your pipelines

• we support following automation servers out of the box
• Concourse
• Jenkins using Jenkins Job DSL plugin
• Jenkins using Jenkinsfile with Blue Ocean
• logic of all steps done via Bash scripts
• you can convert the internals to suit your needs
• you can use whatever automation server you want
• supports Maven & Gradle
• Over 150 Bash tests (using https://github.com/sstephenson/bats)

Spring Cloud Pipelines - PaaS Types

Spring Cloud Pipelines - CF example

Spring Cloud Pipelines - Concourse

Spring Cloud Pipelines - Jenkins Job DSL

Spring Cloud Pipelines - Jenkinsfile & Blue Ocean

WHAT ARE WE GOING TO WORK WITH?

Demo - flow
GITHUB-WEBHOOK GITHUB-ANALYTICS
AMQPHOOK

Why do we deploy software?
• We’re paid for delivering business value
• Features are done when they are deployed to production
• It’s better to deploy frequently for faster feedback
• It’s better to fail the deployment pipeline as fast as possible
• Deployments should take place in a standardised, automated fashion
• Your deployment pipeline should test rollback
• That way you can perform A/B or zero downtime deployment to production

• We’re paid for delivering business value
• Features are done when they are deployed to production
• It’s better to deploy frequently for faster feedback
• It’s better to fail the deployment pipeline as fast as possible
• Deployments should take place in a standardised, automated fashion
• Your deployment pipeline should test rollback
• That way you can perform A/B or zero downtime deployment to production

Problem - slow feedback
• Nobody wants to wait until the end of the pipeline to see that something is not
working fine
• We want to fail fast - even during build time
• If integration is faulty
• If our API is backward incompatible
• There should be no need to wait until end to end tests are executed

Solution - fail fast
• We’re running unit and integration tests during build time
• To test faulty integration we use Spring Cloud Contract for HTTP / messaging
• Producer defines a contract
• From the contract
o tests are generated to see if the producer is not lying
o stubs are generated for consumers to use
• Consumer can reuse it without running the producer
• Fail at build time if integration fails (fail fast!)
• All stubs reside in Nexus / Artifactory (thus can be reused)

CONTRACT TESTS DEMO
(BREAKING CONSUMER)

Initial contract (producer)
Body contains username and
repository

Generated test (producer)
Body contains username and
repository

Passing contract test (consumer)

Breaking contract (producer)
Was username and repository
and we’ve made a breaking
change by converting those to
user and repo

Installing broken stubs locally (producer)
New stubs with backward
incompatible changes
installed in Maven local

Broken contract test (consumer)

Broken contract test(consumer)
Expected repository and
username but got repo
and user

CONTRACT TESTS DEMO
(BREAKING PRODUCER)

Demo - backward incompatible API change
GITHUB-ANALYTICS V1
with DELETE
@ /issues
Contracts
V1
with
DELETE @
/issues
Generated test
sends DELETE
to /issues

Contract for deletion of issues

Generated test for deleting issues

GITHUB-ANALYTICS V1
with DELETE
@ /issues
Contracts
V1
with
DELETE @
/issues
Generated test
sends DELETE
to /issues
GITHUB-ANALYTICS V2
removed DELETE
@ /issues
Contracts
V2
removed
DELETE @
/issues
No generated
test for this
endpoint

Backward incompatible changes of the API
We delete
the
contract
and the
DELETE
endpoint

GITHUB-ANALYTICS V1
with DELETE
@ /issues
Contracts
V1
with
DELETE @
/issues
Generated test
sends DELETE
to /issues
GITHUB-ANALYTICS V2
removed DELETE
@ /issues
Contracts
V2
removed
DELETE @
/issues
No generated
test for this
endpoint
GITHUB-ANALYTICS V2
removed DELETE
@ /issues
Contracts
V1
with
DELETE @
/issues
Generated test
sends DELETE
to /issues

Broken build Current implementation (V2)
does not support old
contracts (V1)

Broken - generated test from old contracts (V1)

STANDARDISATION GIVES LOWER
SUPPORT COSTS AND MORE CHANCES
OF PEOPLE ROTATION

Solution - PaaS & tooling
• Use a PaaS to standardise the way you deploy and monitor your software
• Spring Cloud Pipelines uses Cloud Foundry [1] or Kubernetes [2] as a PaaS
implementation
• For the demo purposes we’re using PCF Dev [3] or Minikube [4]
• PaaS abstracts the application governance from underlying infrastructure
• you can deploy, scale, manage applications in the same way if PaaS was running on your laptop,
Amazon, Google, Azure etc.
• Database schema upgrade is done via tools like Flyway [5] or Liquibase [6]
[1] https://www.cloudfoundry.org, [2] https://kubernetes.io/
[3] https://pivotal.io/pcf-dev, [4] https://github.com/kubernetes/minikube
[5] https://flywaydb.org/, [6] http://www.liquibase.org/

After the application got deployed to test environment
• The database schema gets updated upon application startup
• We run a handful of smoke tests to see if crucial parts of our application are
working fine
• We want to test if the app is properly packaged
• The application is surrounded by stubs - no real integrations take place
• Spring Cloud Contract Stub Runner Boot app is responsible for serving stubs

Problem - rollback DB
• Deployment pipelines should test whether the application can be rolled back
• Rolling back database changes is extremely difficult
• Especially if you deploy once every 6 months (the number of changes is gigantic)
• How can you roll back a deletion of a column?

Solution - application rollback
• The easiest solution is… NOT TO DB ROLLBACK
• Perform only backward compatible changes (always add data)
• Or perform backward incompatible changes in a backward compatible way [1]
• Roll back the application only (the JAR)
• The application and DB changes need to be backward compatible
• That way you can ensure that two applications (old / new versions) can run
simultaneously at the same time
[1] https://spring.io/blog/2016/05/31/zero-downtime-deployment-with-a-database

BACKWARD INCOMPATIBLE
DB CHANGE DEMO

Demo - backward incompatible DB change
GITHUB-ANALYTICS V1
CODE
with repository
DB
V1
with
repository

Demo - initial DB state (Flyway)

GITHUB-ANALYTICS V1
CODE
with repository
DB
V1
with
repository
GITHUB-ANALYTICS V2
CODE
with repo
DB
V2
with
repo

GITHUB-ANALYTICS V1
CODE
with repository
DB
V1
with
repository
GITHUB-ANALYTICS V2
CODE
with repo
DB
V2
with
repo
GITHUB-ANALYTICS V1
CODE
with repository
DB
V2
with
repo

New application (V2) works
against new database (V2)

Old application (V1) can’t
work with new database (V2)
Deploy (V1) and connect to
the new database (V2)

Demo - errors in the app logs Old version can’t insert
data to a missing DB
column

Problem - end to end tests
• End to end tests are slow and brittle
• QA department writes an E2E for every feature we have
• E2E environment setup
• one environment shared between all applications?
• one environment per application?
• Surrounding apps should be deployed in
• production versions?
• development versions?

Solution - don’t do E2E?
• Regardless of the time spent on QA / UAT you can still have bugs on
production
• Assuming that you ...
• embrace failure
• introduce monitoring of business key performance indicators (KPIs)
• introduce alerting over the metrics
• ensure that you can rollback on production
• … you could stop doing any end to end tests

• Deploy to stage and running e2e tests are manual steps
• you have to wait for your turn for the env
• some manual work has to be done to purge stale data etc.

Problem - deployment to production
• We don’t want to deploy the application to production at night
• We want to treat a production deployment like any other deployment
• We’d like to be able to perform A/B testing and zero downtime deployment
• We’d like to easily rollback when sth goes wrong

Solution - PaaS + SC Pipelines
• Our application has KPI monitoring in place
• Alerting are set for KPIs
• It has been tested that the application can be easily rolled back
• PaaS (CF or K8S) can take care of zero downtime deployment

• prod-deploy deploys the pipeline version of the app to production next to
the current production version
• Once deployed we tag the repo with prod/VERSION_NUMBER
• prod-complete allows to stop the old instance and leave only the new one
running
• prod-rollback deletes the new instance, removes the
prod/VERSION_NUMBER tag and leaves only the old one running

Two versions running at the same time
Two versions registered
under same hostname
Old instance
New instance

MIGRATING TO SPRING CLOUD
PIPELINES DEMO

Greeting UI Fortune
Service
Fortune DB
Simon

The SCS Triplets
and their pet Rabbit
Greeting UI Fortune
Service
Fortune DB
Simon

Greeting UI
The SCS Triplets
Simon
Hey in !

Greeting UI
The SCS Triplets
???
Simon
Hey in !

Greeting UI
The SCS Triplets
!!!
Fortune
ServiceSimon
Hey in !

Greeting UI
The SCS Triplets
Fortune
ServiceSimon
Hey in !

Greeting UI
The SCS Triplets
Fortune
Service
Fortune DB
Simon
Hey in !

Greeting UI
“Do h k ”
Simon

Greeting UI
Simon
Gre vi ! Who
sa ?

Greeting UI Fortune
ServiceSimon
Gre vi ! Who
sa ?

Greeting UI Fortune
Service
Fortune DB
Simon
Gre vi ! Who
sa ?

Greeting UI Fortune
Service
Fortune DB
Simon
It’s o t h
a q i n...

Greeting UI Fortune
Service
Fortune DB
Simon
It’s o t h
a q i n...
The SCS Triplets

Greeting UI Fortune
Service
Fortune DB
Simon
I ju w t
k o ...
The SCS Triplets

Greeting UI Fortune
Service
Fortune DB
Simon
PI NE
T E H S!!!
The SCS Triplets

●
○
○
●
○
○
○
○

●
●
●
●
●
○
○
○

●
●
○ mvn -N io.takari:maven:wrapper

●
●
●
○ distributionManagement.repository.id
○ distributionManagement.repository.url

●
●
●
○ distributionManagement.repository.id
○ distributionManagement.repository.url
●

●
●
○
● test:
services:
- name: fortune-db
type: broker
broker: cleardb
plan: spark
- name: config-server
type: broker
broker: p-config-server
plan: standard
params:
git:
uri: https://github.com/ciberkleid/app-config
useExisting: true
...

Same for apicompatibility
and e2e

●
○
○
○
○
<profile>
<id>default</id>
<activation>
<activeByDefault>true</activeByDefault>
</activation>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<configuration>
<includes>
<include>**/*Tests.java</include>
<include>**/*Test.java</include>
</includes>
<excludes>
<exclude>**/smoke/**</exclude>
<exclude>**/e2e/**</exclude>
</excludes>
</configuration>
</plugin>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
</plugins>
</build>
</profile>

greeting-ui
fortune-db
fortune-service
Assuming same domain...

greeting-ui
circuit breaker fallback

● Add INSERT statements to V1__init.sql
● Data is populated upon app startup, but only once per DB version

●
○
○
●
○
○
○
○
○

import org.springframework.cloud.contract.spec.Contract
Contract.make {
description("""
should return a fortune string
""")
request {
method GET()
url "/"
}
response {
status 200
body "foo fortune"
}
}

●
○
public class BaseClass {
@Before
public void setup() {
FortuneService service = BDDMockito.mock(FortuneService.class);
BDDMockito.given(service.getFortune()).willReturn("foo fortune");
RestAssuredMockMvc.standaloneSetup(new FortuneController(service));
}
}

In this case, we want the contracts plugin to generate tests
based on contracts outside of the project (the ones from the
latest prod jar on our maven repo). Pipeline injects values in red
dynamically

greeting-ui
or manually
configured WireMock
greeting-ui
stubs
without stubrunner with stubrunner
●

For in-process stubrunner, the
server-side Wiremock port
For in-process stubrunner, the
client-side endpoint config

greeting-ui
greeting-ui
stubrunner
without stubrunner with stubrunner
Note: Update the
greeting smoke tests
accordingly

●
<properties>
<stubrunner.ids>io.pivotal:fortune-service:_latest:stubs:10000</stubrunner.ids>
</properties>
●
●

●
○
○
●
○
○
●
○
○

Because now…
● You can evolve your app faster
● With (hopefully) better code
● Consistent testing practices
● Fast failure and feedback
● Contract-based API definitions
● API and DB rollback assurance
● And…. instant pipelines from source to production!

Greeting UI Fortune
Service
Fortune DB
Simon
W O D
Do h k !?

Greeting UI Fortune
Service
Fortune DB
Simon
W O D
Do h k !?
Contract.make{“””
should return author name
“””)
...

Greeting UI Fortune
Service
Fortune DB
Simon
W O D
Do h k !?
Fortune
Service
Stub

Greeting UI Fortune
Service
Fortune DB
Simon
W O D
Do h k !?
V2:
ALTER TABLE fortune
CHANGE COLUMN text TO fortune,
ADD author CHAR (50);

Greeting UI Fortune
Service
Fortune DB
Simon
Piv sa t
t e m !

Greeting UI Fortune
Service
Fortune DB
Oh, ri t!
I k e t .

● Github repos showing the
end-state of each “act”
● Step-by-step instructions will
be published soon and made
accessible through the repo
Readmes

Customizing Spring Cloud Pipelines

Customizing Spring Cloud Pipelines
$ curl -LOk https://github.com/spring-cloud/spring-cloud-pipelines/archive/v1.0.0.M8.zip
$ unzip v1.0.0.M8.zip
$ cd spring-cloud-pipelines-v1.0.0.M8
$ git init
$ # modify the pipelines to suit your needs
$ ./gradlew customize
$ …
$ git add .
$ git commit -a -m “Initial commit”
$ git remote add origin ${YOUR_REPOSITORY_URL}
$ git push origin master

Summary
• Continuous Deployment allows you to continuously deliver business value
• Spring Cloud Pipelines gives you OOB tooling to test your software via
• unit and integration testing
• contract testing
• rollback testing
• You can gradually migrate your applications to start using SC Pipelines
• SC Pipelines allows you to easily adjust the deployment pipeline to suit your
company’s needs
• Thanks to PaaS you can easily do A/B & zero downtime deployment

● Github Analytics: https://github.com/spring-cloud-samples/github-analytics
● Github Webhook: https://github.com/spring-cloud-samples/github-webhook
● Fortune Service: https://github.com/ciberkleid/fortune-service
● Greeting UI: https://github.com/ciberkleid/greeting-ui/
● SC-Pipelines documentation: https://cloud.spring.io/spring-cloud-pipelines/
● Pivotal Web Services trial : https://run.pivotal.io/
● PCF Dev (CF on your laptop) : https://docs.pivotal.io/pcf-dev/
Links

Learn More. Stay Connected.
▪ Read the docs
http://cloud.spring.io/spring-cloud-pipelines/
▪ Talk to us on Gitter
https://gitter.im/spring-cloud/spring-cloud-pipelines
Twitter: twitter.com/springcentral
YouTube: spring.io/video
LinkedIn: spring.io/linkedin
Google Plus: spring.io/gplus

Continuous Deployment of your Application @SpringOne

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