Adopting Java for the Serverless world at JUG Hamburg

Adopting Java for the
Serverless world
from the perspective of the AWS developer
by Vadym Kazulkin, ip.labs GmbH

Contact
Vadym Kazulkin
ip.labs GmbH Bonn, Germany
Co-Organizer of the Java User Group Bonn
and Serverless Bonn Meetup
v.kazulkin@gmail.com
@VKazulkin
@ServerlessBonn (Meetup)
https://www.linkedin.com/in/vadymkazulkin/
https://www.iplabs.de/

ip.labs GmbH
https://www.iplabs.de/

https://www.cleveroad.com/blog/programming-languages-ranking Vadym Kazulkin @VKazulkin , ip.labs GmbH

2020 Magic Quadrant for Cloud Infrastructure & Platform Services
https://pages.awscloud.com/GLOBAL-multi-DL-gartner-mq-cips-2020-learn.html?pg=LWIAWS
Vadym Kazulkin @VKazulkin , ip.labs GmbH

Vadym Kazulkin @VKazulkin , ip.labs GmbH“State of Serverless 2020 report” https://codingsans.com/blog/serverless-trends

2020 AWS Lambda Benchmark Report for Developers, DevOps, and Decision Makers
https://newrelic.com/resources/ebooks/serverless-benchmark-report-aws-lambda-2020

Life of the Java Serverless developer
on AWS

AWS Java Versions Support
• Java 8
• With extended long-term support
• Java 11 (since 2019)
• Only Long Term Support (LTS) by AWS
• Next LTS Java version is Java 17 in 2021
Source: https://aws.amazon.com/de/corretto/

Java ist very fast
and mature
programming
language…
Image: burst.shopify.com/photos/a-look-across-the-landscape-with-view-of-the-sea Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH
… but
Serverless
adoption of Java
looks like this

Developers love Java and will be happy
to use it for Serverless

Creating AWS Lambda with Java 1/2
:
Source https://blog.runscope.com/posts/how-to-write-your-first-aws-lambda-function

Creating AWS Lambda with Java 2/2
:
Source https://blog.runscope.com/posts/how-to-write-your-first-aws-lambda-function

Challenge Number 1 with Java is a
big cold-start
Source: https://www.serverless.com/blog/keep-your-lambdas-warm

Cold Start
:
Source: Ajay Nair „Become a Serverless Black Belt” https://www.youtube.com/watch?v=oQFORsso2go

Bootstrap the Java Runtime Phase
• AWS Lambda starts the JVM
• Java runtime loads and initializes
handler class
• Static initializer block of the handler class is
executed
• Boosted host full CPU access up to 10 seconds
• Lambda calls the handler method
• Full CPU access only approx. at 1.8 GB
“assigned” memory to the function
Source: Stefano Buliani : "Best practices for AWS Lambda and Java„ https://www.youtube.com/watch?v=ddg1u5HLwg8

AWS Lambda cold start duration
per programming language
Source: Mikhail Shilkov: „AWS Lambda: Cold Start Duration per Language. 2020 edition” https://mikhail.io/serverless/coldstarts/aws/languages/

Cold start duration with Java
• Below 1 second is best-case cold start duration for very simple
Lambda like HelloWorld with no dependencies
• It goes up significantly with more complex scenarios
• Dependencies to multiple OS projects
• Clients instantiation outside of the handler method to communicate with other
(AWS) services (e.g. DynamoDB, SNS, SQS, 3rd party)
• To minimize the cold start time apply best practices from this talk
• Worst-case cold starts can be higher than 10 and even 20 seconds
Sean O‘Toole „AWS Lambda Java Tutorial: Best Practices to Lower Cold Starts” https://www.capitalone.com/tech/cloud/aws-lambda-java-tutorial-reduce-cold-starts/

Provisioned
Concurrency for
Lambda Functions
Yan Cui: https://lumigo.io/blog/provisioned-concurrency-the-end-of-cold-starts/

Jeremy Daly: “Mixing VPC and Non-VPC Lambda Functions for Higher Performing Microservices”
https://www.jeremydaly.com/mixing-vpc-and-non-vpc-lambda-functions-for-higher-performing-microservices/ Vadym Kazulkin @VKazulkin , ip.labs GmbH
Lambda behind the
Virtual Private
Cloud (VPC)

Lambda in VPC
As function’s execution environment
scales
• More network interfaces are created and
attached to the Lambda infrastructure
• The exact number of network interfaces
created and attached is a factor of your
function configuration and concurrency
• Caused additional the cold start up to
approx. 10 seconds
Chris Munns: "Announcing improved VPC networking for AWS Lambda functions”
https://aws.amazon.com/de/blogs/compute/announcing-improved-vpc-networking-for-aws-lambda-functions/

Lambda in VPC Improvements:
• The network interface creation happens
when Lambda function is created or its
VPC settings are updated.
• The network interfaces are shared across
execution environments
• Only a handful of network interfaces are
required per function
• Reduced additional cold start from approx.
10 seconds to below 1 second
Chris Munns: "Announcing improved VPC networking for AWS Lambda functions”
https://aws.amazon.com/de/blogs/compute/announcing-improved-vpc-networking-for-aws-lambda-functions/

Improvements 1/4
• Switch to the AWS SDK 2.0 for Java
• Lower footprint and more modular
• Allows to configure HTTP Client of your choice (e.g. Java own Basic HTTP Client
or newly introduced AWS Common Runtime async HTTP Client)
Zoe Wang: „Introducing AWS Common Runtime HTTP Client in the AWS SDK for Java 2.x”
https://aws.amazon.com/de/blogs/developer/introducing-aws-common-runtime-http-client-in-the-aws-sdk-for-java-2-x/
S3AsyncClient.builder()
.httpClientBuilder(AwsCrtAsyncHttpClient.builder()
.maxConcurrency(50))
.build();

Improvements 1/4
Provide all known values (for building clients e.g. DynamoDB client)
to avoid auto-discovery
• credential provider, region, endpoint
AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard()
.withRegion(Regions.US_WEST_2)
.withCredentials(new ProfileCredentialsProvider("myProfile"))
.build();

Improvements 1/4
• Initialize and prime dependencies during initialization phase
• Use static initialization in the handler class, instead of in the handler method (e.g.
handleRequest) to take the advantage of the access to the full CPU core for max 10 seconds
• „Fake“ the calls to pre-initalize „things“, e.g. Jackson Marshallers in case of DynamoDB client
AmazonDynamoDB client = AmazonDynamoDBClientBuilder.standard()...build();
DynamoDB dynamoDB = new DynamoDB(client);
Table table = dynamoDB.getTable(„mytable");
Item item = table.getItem("Id", 210);
getItem() call forces Jackson Marshallers to initialize

Improvements 1/4
• Less (dependencies, classes) is more
• Include only required dependencies (e.g. not the whole AWS SDK 2.0 for Java, but the
dependencies to the clients to be used in Lambda)
• Exclude dependencies, which you don‘t need at runtime e.g. test frameworks like Junit
https://github.com/awsdocs/aws-doc-sdk-examples/tree/master/javav2
<dependency>
<groupId>org.junit.jupiter</groupId>
<artifactId>junit-jupiter-api</artifactId>
<version>5.4.2</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>software.amazon.awssdk</groupId>
<artifactId>dynamodb</artifactId>
</dependency>
<dependency>
<groupId>software.amazon.awssdk</groupId>
<artifactId>bom</artifactId>
<type>pom</type>
<scope>import</scope>
</dependency>

Improvements 2/4
Avoid Reflection
Or use DI Frameworks like Micronaut, Quarkus or Dagger which aren‘t
reflection-based

Improvements 3/4
Strive for cost optimization

AWS Lambda pricing model

Cost for Lambda
REQUEST DURATION

Request Tier
$ 0.20
Per 1 Mio Requests

Duration Tier
$ 0.00001667
Per GB-Second
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH

GB-Second
ONE SECOND ONE GB

Example
• 1 Mio requests
• Lambda with 512MiB
• Each lambda takes 180ms
(will be rounded to 200ms)
0.5 GiB * 0.2 sec * 1 Mio
= 100 000 GB-Seconds
Requests:
$0.20
GB-Seconds:
$1.67

Cost scales
linearly with
memory

Improvements 4/4
More memory = more expensive?

Lambda Power Tuning
• Executes different
settings in parallel
• Outputs the optimal
setting
Image: https://github.com/alexcasalboni/aws-lambda-power-tuning Vadym Kazulkin @VKazulkin , ip.labs GmbH

Monitor the Java Virtual Machine
Garbage Collection on AWS
Lambda
Source: Steffen Grunwald „Monitoring the Java Virtual Machine Garbage Collection on AWS Lambda”
https://aws.amazon.com/de/blogs/architecture/field-notes-monitoring-the-java-virtual-machine-garbage-collection-on-aws-lambda/

AWS Java Versions Support
• Java 8
• With extended long-term support
• Java 11 (since 2019)
• Only Long Term Support (LTS) by AWS
• Next LTS Java version is Java 17 in 2021
• What about the support of the current Java version 15?
Source: https://aws.amazon.com/de/corretto/

Current Java Version Support with frgaal
• frgaal can produce bytecode from Java 14 (with new and
experimental features) syntax that is compatible with JDK 8
• JDK 9–14 contains no features that would require bytecode changes except
modules and records
• Var and textblocks features are purely syntactic
• Switch expressions and “instanceof” do not require any special bytecode
either
• Most of these features just alter the Abstract Syntax Tree (AST) of Java, so
it’s possible to emit JDK 8 compatible bytecode for the generator
Source: https://frgaal.org/
Toni Epple „Use next generation Java, today! “ https://medium.com/@toni.epple/use-next-generation-java-today-d3394efb8c24

Current Java Version Support with frgaal
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<dependencies> <dependency>
<groupId>org.frgaal</groupId>
<artifactId>compiler-maven-plugin</artifactId>
</dependency> </dependencies>
<configuration>
<compilerId>frgaal</compilerId>
<source>14</source>
<target>1.8</target>
<compilerArgs>
<arg>-Xlint:deprecation</arg>
<arg>--enable-safe-preview</arg>
</compilerArgs>
</configuration>
</plugin>
</plugins>
</build>
Source: https://frgaal.org/
Toni Epple „Use next generation Java, today! “ https://medium.com/@toni.epple/use-next-generation-java-today-d3394efb8c24
mvn clean install

Cost optimization
• Java is well optimized for long running server applications
• High startup times
• High memory utilization
And both memory and execution time are cost dimensions,
when using Serverless in the cloud

GraalVM enters the scene
Source: https://www.graalvm.org/

Project Metropolis
Goals:
Low footprint ahead-of-time mode for JVM-based languages
High performance for all languages
Convenient language interoperability and polyglot tooling
Source: „Everything you need to know about GraalVM by Oleg Šelajev & Thomas Wuerthinger” https://www.youtube.com/watch?v=ANN9rxYo5Hg

Adopting Java for the Serverless world at JUG Hamburg

GraalVM
Architecture
Sources: Practical Partial Evaluation for High-Performance Dynamic Language Runtimes http://chrisseaton.com/rubytruffle/pldi17-truffle/pldi17-truffle.pdf
„The LLVM Compiler Infrastructure“ https://llvm.org/

SubstrateVM
Source: Oleg Šelajev, Thomas Wuerthinger, Oracle: “Deep dive into using GraalVM for Java and JavaScript”
https://www.youtube.com/watch?v=a-XEZobXspo

GraalVM and SubstrateVM
Source: Oleg Selajev, Oracle : “Run Code in Any Language Anywhere with GraalVM” https://www.youtube.com/watch?v=JoDOo4FyYMU

GraalVM on SubstrateVM
A game changer for Java & Serverless?
Java Function compiled into a native executable using
GraalVM on SubstrateVM reduces
• “cold start” times
• memory footprint
by order of magnitude compared to running on JVM.
And both memory and execution time are cost dimensions,
when using Serverless in the cloud

GraalVM on SubstrateVM
A game changer for Java & Serverless?
Current challenges with native executable using GraalVM :
• Most Cloud Providers (AWS) doesn’t provide GraalVM as Java
Runtime out of the box, only Open JDK (i.e. AWS provides Corretto)
• Some Cloud Providers (e.g. AWS) provide Custom Runtime Option

Lambda Layers
& Lambda
Runtime API

GraalVM Complitation Modes

AOT vs JIT

GraalVM Profile-Guided Optimizations
Source: „https://www.graalvm.org/reference-manual/native-image/PGO”

Support of GraalVM native images in Frameworks
Spring Framework: working toward GraalVM native image support
without requiring additional configuration or workaround is one of the
themes of upcoming Spring Framework 5.3
Spring Boot: Ongoing work on experimental Spring Graal Native
project. Probably ready for the 2.4 release
Quarkus: a Kubernetes Native Java framework developed by Red Hat
tailored for GraalVM and HotSpot, crafted from best-of-breed Java
libraries and standards.
Micronaut: a modern, JVM-based, full-stack framework for building
modular, easily testable microservice and serverless applications.
Source: „GraalVM native image support“ https://github.com/spring-projects/spring-framework/wiki/GraalVM-native-image-support

Common principles for all Frameworks
• Rely on as little reflection as possible
• Speed up start up times and decrease memory usage for Microservice
and Serverless Java applications
• With and without usage of GraalVM and native image

Steps to deploy to AWS
• Installation prerequisites
• Framework of your choice (Micronaut, Quarkus, Spring)
• Java 8 or 11 or GraalVM and Native Image
• Apache Maven or Gradle
• AWS CLI and AWS SAM CLI (for local testing)
• Build Linux executable of your application with GraalVM native-image
• Deploy Linux executable as AWS Lambda Custom Runtime
• Function.zip with bootstrap Linux executable
Source: https://github.com/awslabs/aws-serverless-java-container/tree/master/samples/micronaut/pet-store

AWS Lambda Deployment of Custom Runtime with SAM
Source: https://github.com/awslabs/aws-serverless-java-container/tree/master/samples/micronaut/pet-store

Micronaut Framework
Source: https://micronaut.io/

AWS Lambda with Micronaut Framework

Testing AWS Lambda with Micronaut Framework

Micronaut Additional Features
• Custom Validators
• AWS API Gateway integration
• Spring annotation processor available

Build GraalVM Native Image with Micronaut Framework
There is already Gradle plugin, Maven plugin in development

Quarkus
Source: https://quarkus.io/

AWS Lambda with Quarkus Framework

Testing AWS Lambda with Quarkus Framework

Build GraalVM Native Image with Quarkus Framework
mvn –Pnative package

Quarkus Additional Features
• Website for creating the App
• AWS API Gateway integration
• Funqy

Quarkus Fanqy
Source: https://quarkus.io/guides/funqy

Quarkus-Fanqy AWS
Serverless Support
• AWS Lambda
• AWS API Gateway

Spring (Boot) Framework
Source: https://spring.io/

Spring GraalVM Native Project

AWS Lambda with Spring Framework
using Spring Graal Native and Spring Cloud Functions

Bean Registration with Spring Framework
using Spring Graal Native and Spring Cloud Functions

Build GraalVM Native Image with Spring Framework
mvn –Pnative package

Framework Comparison 1/2
• Project Initializer
• Programming Model
• Database Support
• Test Support
Source: „Battle Of The Microservice Frameworks: Micronaut versus Quarkus edition! by Michel Schudel“ https://www.youtube.com/watch?v=hnEXOqcNXPs
„Micronaut 2.0 vs Quarkus 1.3.1 vs Spring Boot 2.3 Performance on JDK 14“ https://www.youtube.com/watch?v=rJFgdFIs_k8

Framework Comparison 2/2
Source: „Battle Of The Microservice Frameworks: Micronaut versus Quarkus edition! by Michel Schudel“ https://www.youtube.com/watch?v=hnEXOqcNXPs
„Micronaut 2.0 vs Quarkus 1.3.1 vs Spring Boot 2.3 Performance on JDK 14“ https://www.youtube.com/watch?v=rJFgdFIs_k8
• Native Image with Framework
• Build time
• Native Image Size
• (Cold) Startup Time
• Request/Invocation duration
• Memory Consumption
• Plain Framework
• Application Size
• (Cold) Start Time
• Request/Invocation duration
• Memory Consumption

Conclusion 1/3
• GraalVM and Frameworks are really powerful with a lot of potential
• Micronaut and Quarkus will improve the cold starts of Java
applications significantly even without GraalVM and native image
• They use as little as possible reflection and other optimizations
• Cold start duration will still be in the range of single digit seconds depending on your
application
Source: „https://stackoverflow.com/questions/63328298/how-do-you-debug-a-no-instances-of-are-allowed-in-the-image-heap-when-buil

Conclusion 2/3
• But the combination of discussed frameworks with GraalVM and Native
Image currently not without challenges
• AWS Lambda Custom runtime requires Linux executable only
• Managing Custom Runtime requires some additional effort
• Delivering execution runtime (i.e. Java) via Lambda Custom Runtime reduces performance
compared to (the same) managed Lambda Runtime
• Windows and Mac developers may only build Linux executable via Docker
• plenty of 'No instances of … are allowed in the image heap’ and other errors when building
a native image
• Lots of experimentation with additional build arguments like “initialize-at-runtime” or “delay-
class-initialization-to-runtime“ required

Conclusion 3/3
• Once again: Less (dependencies, classes) is more
• AWS Lambda function should be small and shouldn’t have many dependencies

Try it yourselves
• Micronaut
• https://github.com/micronaut-guides/micronaut-function-aws-lambda
• Quarkus
• https://github.com/JosemyDuarte/quarkus-terraform-lambda-demo/tree/dynamo-terraform
• Spring Boot
• https://github.com/spring-projects-experimental/spring-graalvm-native/tree/master/spring-
graalvm-native-samples/function-aws
• Misc
• https://github.com/awslabs/aws-serverless-java-container/tree/master/samples

Project Leyden
Source: https://mail.openjdk.java.net/pipermail/discuss/2020-April/005429.html

Adopting Java for the Serverless world at JUG Hamburg

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