Hands-on cloud-native Java with MicroProfile, Kubernetes and Istio at Javantura

Javantura/ February 22th, 2020 / © 2020 IBM Corporation
Cloud-Native Java Microservices
Workshop
Jamie L Coleman
Software Engineer/Advocate Team Lead
Yasmin Aumeeruddy
Software Engineer/Advocate

Contents
2Javantura/ February 22th, 2020 / © 2020 IBM Corporation
Why move to the Cloud? 03
What the Cloud offers 04
What is the Hybrid Cloud? 07
Eclipse MicroProfile 08
Contributors 10
Community 11
Vendors/Implementations 14
MicroProfile Technologies 15
MicroProfile Stack 16
MicroProfile Core Technologies 17
Docker, Kubenetes and Istio 29
Deploying to the Cloud with Containers 30
MicroProfile Health and Config 33
A Full Open Stack 35
Open Liberty Overview 37
Open J9 Overview 38
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Why move to
the Cloud?
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Javantura/ February 22th, 2020 / © 2020 IBM Corporation 4
What the Cloud offers
Demand
time
One big server running all the time?
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Demand
time
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What is Hybrid Cloud and why
Use it?
Hybrid Cloud
The platform for digital
transformation
Integrate seamlessly across
any platform
Add cognitive
capabilities
Adopt a hybrid cloud
strategy
Optimize the cost of
existing infrastructure
Implement Microservices Architecture &
leverage Docker Containers for portability
Enhance applications with new
services
Adopt and Expand API
usage
Move a portion of IT infrastructure to
cloud
DevTest in the cloud
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Eclipse
MicroProfile
@Jamie_Lee_C

What is MicroProfile?
● Eclipse MicroProfile is an open-source
community specification for Enterprise Java
microservices
● A community of individuals, organizations, and
vendors collaborating within an open source
(Eclipse) project to bring microservices to the
Enterprise Java community
microprofile.io
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MicroProfile Contributors
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MicroProfile Community
● Over a dozen vendors and Java user groups
● 140 individual contributors
● Over half a dozen independent
implementations
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Locations of some
MicroProfile Contributors
Seattle – USA
Ontario – Canada
Canberra – Australia
Stuttgart – Germany
Rochester – USA
Prague – Czech Rep
Newcastle – UK
Munich – Germany
Paris – France
Hursley – UK
Centurion – South Africa
Boston – USA
Sao Paulo – Brazil
Rio de Janeiro – Brazil
Coimbra – Portugal
Amsterdam – Netherlands
Source: MicroProfile.io
@Jamie_Lee_C

MicroProfile Community
Video HangoutsBi-Weekly & Quarterly
General community
Meetings
MicroProfile ProjectsGoogle Groups
YouTube Channel
@Jamie_Lee_C

MicroProfile
Vendors/Implementations
@Jamie_Lee_C

MicroProfile
Technologies
@Jamie_Lee_C

MicroProfile 3.0 Stack
JSON-B 1.0JSON-P 1.1CDI 2.0
Config 1.3
Fault
Tolerance 2.0
JWT
Propagation
1.1
Health
Check 2.0
Metrics 2.0
Open Tracing
1.3
Open API 1.1
JAX-RS 2.1
Rest Client
1.3
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MicroProfile Core Technologies
B
@Path("/brews")
@Produces(MediaType.APPLICATION_JSON)
@Consumes(MediaType.APPLICATION_JSON)
public class BrewsResource {
@POST
public Response startCoffeeBrew(CoffeeBrew brew) {...)
}
JAX-RS
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REST Client
BA
@RegisterRestClient
@Path("/resources/brews")
@Produces(MediaType.APPLICATION_JSON)
public interface BaristaClient {
@POST
public Response startCoffeeBrew(CoffeeBrew brew);
}
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CDI
BA
@Path("/orders")
public class OrdersResource {
@Inject
CoffeeShop coffeeShop;
...
}
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JSON-B &
JSON-P
A B
...
@POST
public Response startCoffeeBrew(CoffeeBrew brew) {
CoffeeType coffeeType = brew.getType();
...
}
public class CoffeeBrew {
private CoffeeType type;
public CoffeeType getType() {
return type;
}
public void setType(CoffeeType type) {
this.type = type;
}
}
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Open API
A B
openapi: 3.0.0
info:
title: Deployed APIs
version: 1.0.0
servers:
- url: http://grahams-mbp-2.lan:9081/barista
paths:
/resources/brews:
post:
operationId: startCoffeeBrew
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/CoffeeBrew'
responses:
default:
description: default response
components:
schemas:
CoffeeBrew:
type: object
properties:
type:
type: string
enum:
- ESPRESSO
- LATTE
- POUR_OVER
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JWT
@POST
@RolesAllowed({ "admin", "coffee-shop" })
public Response startCoffeeBrew(CoffeeBrew brew) {...}
BA
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Fault
Tolerance
A B
@Retry(retryOn = TimeoutException.class,
maxRetries = 4,
maxDuration = 10,
durationUnit = ChronoUnit.SECONDS)
public void startCoffeeBrew(CoffeeBrew brew) {
Response response = baristaClient.startCoffeeBrew(brew);
...
}
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Config
A B
@ApplicationScoped
public class Barista {
@Inject
@ConfigProperty(name="default_barista_base_url")
String baristaBaseURL;
...
}
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Health
A B
{
"checks": [
{
"data": {
"barista service": "available"
},
"name": "CoffeeShopHealth",
"state": "UP"
}
],
"outcome": "UP"
}
@Health
@ApplicationScoped
public class HealthResource implements HealthCheck {
...
public boolean isHealthy() {...}
@Override
public HealthCheckResponse call() {
if (!isHealthy()) {
return HealthCheckResponse.named(...).down().build();
}
return HealthCheckResponse.named(...).up().build();
}
}
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Metrics
A B
@POST
@Counted(name="order", displayName="Order count",
description="Number of times orders requested.", monotonic=true)
public Response orderCoffee(@Valid @NotNull CoffeeOrder order) {
...
}
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Open
Tracing
A B
@Traced
public void startBrew(CoffeeType coffeeType) {
...
}
JAX-RS methods
are automatically
traced by default
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MicroProfile 3.0 Stack
Config 1.3
Fault
Tolerance 2.0
JWT
Propagation
1.1
Health
Check 2.0
Metrics 2.0
Open Tracing
1.3
Open API 1.1
JAX-RS 2.1
Rest Client
1.3
Reactive
Streams
Operators 1.1
Reactive
Messaging
1.0
GraphQL 1.0
Context
Propagation
1.0
Standalone Projects
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Containers
Kubernetes
& Istio
@Jamie_Lee_C

MicroProfile & Containers
Config 1.3
Fault
Tolerance 2.0
JWT
Propagation
1.1
Health
Check 2.0
Metrics 2.0
Open Tracing
1.3
Open API 1.1
JAX-RS 2.1
Rest Client
1.3
Containers Kubernetes Istio
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Containers
docker build -t ol-runtime --no-cache=true .
docker run -d --name rest-app -p 9080:9080 -p
9443:9443 -v <absolute path to
guide>/start/target/liberty/wlp/usr/servers:/servers
ol-runtime
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Kubernetes @Jamie_Lee_C

MicroProfile with Kubernetes
Config
A B
env:
- name: GREETING
valueFrom:
configMapKeyRef:
name: greeting-
config
key: message
kubectl create configmap greeting-config --from-literal
message=Greetings...
@Inject
@ConfigProperty(name =
"GREETING")
private String greeting;
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MicroProfile with Kubernetes
Health
A B
readinessProbe:
httpGet:
path: /health
port: 9080
initialDelaySeconds:
15
periodSeconds: 5
failureThreshold: 1
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A Full Open
Stack
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A Full Open Stack
MicroProfile
Open Liberty
OpenJ9
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Open Liberty Overview
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Open J9 Overview
Designed from the start to span all the
operating systems needed by IBM products
This JVM can go from small to large
Can handle constrained environments or
memory rich ones
Is used by the largest enterprises on the
planet
If any JVM can be said to be at the heart of
the enterprise – its this one.
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Recap
MicroProfile
• No vendor lock in
• Full set of cloud ready APIs
• Config
• Health
• Metrics
• Fault Tolerance
• …
• Big community
Open Liberty
• Modular Application server
• Light weight
• Easy to configure
• Jakarta EE 8 certified
• Production ready
• Official Docker images available
All Open Source!
Open J9
• Low memory footprint
• Fast startup time
• High application throughput
• Smoother ramp-up in the cloud
• Easy to use Docker images
@Jamie_Lee_C

Thank you
Jamie Lee Coleman
Software Engineer/Advocate Team Lead
Email: jlcoleman@uk.ibm.com
Twitter: @Jamie_Lee_C
Yasmin Aumeeruddy
Software Engineer/Advocate
Email: tevans@uk.ibm.com
@Jamie_Lee_C

Time To Code
To get started visit the following URL in your browser
https://ide.skillsnetwork.site/events/javantura
Please log out after each module to clear your
workspace
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Hands-on cloud-native Java with MicroProfile, Kubernetes and Istio at Javantura

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