Effective cloud-ready apps with MicroProfile

Effective cloud-ready apps
with MicroProfile
Ondro Mihályi, Payara, http://www.payara.fish
@ONDROMIH

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@OMIHALYI
What is cloud ready?
●
Spring, Java EE / Jakarta EE,
MicroProfile or Lagom
●
AWS, Azure or Openshift
●
SQL or NoSQL
●
REST or EJB

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@OMIHALYI
Is it really about technology?

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@OMIHALYI
Even cool tech can be painful

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Cloud ready requirements
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Pluggable services
●
Scalable according to
the load
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Low coupling
There are even more according to the 12 factor applications manifesto
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External configuration
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Failure recovery
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Security
●
Monitoring

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@OMIHALYI
Solution: agile evolution
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Simple API abstractions
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Flexible implementations
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Application logic first, against a solid platform
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Abstract the technology, prepare for refactoring
●
Choose final technology later

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@OMIHALYI
Cloud-ready architecture

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@OMIHALYI
SCALABLE RUNTIME
…

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@OMIHALYI

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@OMIHALYI
What is Payara Micro?
●
Executable JAR (~70MB disk size, ~30 MB RAM)
●
Runs WAR and EAR from command line
– Also Uber JAR, embeddable, maven plugin
●
Automatically forms elastic cluster
●
Web Profile and most of Full Profile, MicroProfile
●
Opensource, release each 3 months

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@OMIHALYI
What is MicroProfile?
●
Project at Eclipse Foundation
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Common API, multiple implementations
●
Builds on Java EE standards
●
Modern patterns:
– Microservices, Reactive, …
●
http://microprofile.io - open for everybody

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@OMIHALYI

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@OMIHALYI
COMMUNICATION (REST)

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@OMIHALYI
REST API

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@OMIHALYI
REST services API (server)
●
JAX-RS endpoint
public User getUser(
Integer id) {
return userById(id);
}

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@OMIHALYI
REST services API (server)
●
JAX-RS endpoint
@GET
@Path("{id}")
@Produces(MediaType.APPLICATION_JSON)
public User getUser(
Integer id) {
return userById(id);
}
@PathParam("id")

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@OMIHALYI
REST services API (client)
●
JAX-RS client
User admin = client.target(url).path("admin")
.request().get(User.class)
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MicroProfile client (plain Java interface - much better abstraction)
User admin = userService.getUser("admin")

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@OMIHALYI
JSON binding
@JsonbNillable
public class User implements Serializable {
private String name;
@JsonbTransient
private String description;
@JsonbProperty("userId")
private long id;
}
- new in Java EE 8 and
MicroProfile 2.0
More about JSON-B:
http://json-b.net

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@OMIHALYI
Fault Tolerance
●
Easy to add failure handling to REST calls
with annotations
– Circuit breaker, Timeout, Retry, Bulkheads
– Fallback in case of unrecoverable failure
– Asynchronous variants

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@OMIHALYI
MESSAGING

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@OMIHALYI
CDI events, really?
●
Part of Java EE API already
●
Easy to send and observe messages
●
Similar to topics
●
Is it enough? What about:
– Sending events to other services
– Message broker to decouple services
– Transactions

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@OMIHALYI
CDI events, really?
What about:
●
Sending events to other services – Important
even in initial project stages
●
Reliable delivery, Transactions – important in
later stages, or not at all in some projects
●
All can be extended using event handlers

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@OMIHALYI
Events as an abstraction
●
Transfer events to other services in an event
handler
– Using Payara CDI Event Bus (simple)
– Using distributed queues (robust)
– Using any message broker (flexible)
●
Distribute incoming messages as events
●
Start simple, extend to robust

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@OMIHALYI
Java EE JCA connectors
●
Message-driven beans, for any messaging infrastructure
●
Connetors on Github for AWS, Azure, Kafka, MQTT
@MessageDriven(activationConfig = { … })
public class KafkaMDB implements KafkaListener {
@OnRecord( topics={"my-topic"} )
public void onMsg(ConsumerRecord record) {
…

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@OMIHALYI
REST API
CDI events
JCA connector

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@OMIHALYI
Or evolution to avoid
refactoring
event observer
JCA
connection
observer
MDB
event

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@OMIHALYI
Evolutionary architecture
„An evolutionary architecture supports
continual and incremental change as a first
principle along multiple dimensions.“
„Microservices meet this definition.“
Neal Ford, Rebecca Parsons
http://evolutionaryarchitecture.com/

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@OMIHALYI
EXTERNAL CONFIGURATION

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@OMIHALYI
REST API
JCA connector
Microprofile
Configuration

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@OMIHALYI
●
Standard config sources
– Env. variables
– System properties
●
Pluggable sources
– Database?, secrets?
●
More sources in Payara Micro
– Cluster-wide
– Directory, secrets
– Scoped (server, app, module)
Microprofile Configuration
@Inject
@ConfigProperty(name =
"myservice.url")
URL myService;
URL myService =
ConfigProvider.getConfig()
.getValue("myservice.url",
URL.class);

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@OMIHALYI
MONITORING

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@OMIHALYI
Is there a free lunch?
Microprofile provides a lot out of the box
●
Metrics – monitoring data, statistics
●
Health – problem detection and autorecovery
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Opentracing – connects related requests
●
OpenAPI – docs for REST resources

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@OMIHALYI
Monitoring Usecases
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Monitoring for application metrics
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Monitoring of failures to detect future problems
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Health check to restart service if not healthy
●
Health (ready) check to detect when started and ready
●
Tracing to combine logs and info about related
service calls

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JAX-RS
JCA connector
Microprofile
Configuration
Microprofile Metrics, Health,
Tracing, REST API docs
Microprofile JWT
Future?
Microprofile
Fault Tolerance

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@OMIHALYI
More information
●
https://microprofile.io/
●
https://www.payara.fish/
●
http://evolutionaryarchitecture.com/
●
https://github.com/payara/Cloud-Connectors
●
https://www.microprofile-ext.org/

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Thank You
Not using the Payara Platform yet? Download the open
source software: Payara Server or Payara Micro
https://payara.fish/downloads
Need support for the Payara Platform?
https://payara.fish/support

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Effective cloud-ready apps with MicroProfile

Effective cloud-ready apps with MicroProfile

Ondro Mihályi

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