Adopting Java for the Serverless world at Serverless Meetup Italy

Adopting Java for the
Serverless world
from the perspective of the AWS developer
Vadym Kazulkin, ip.labs, November 24, 2020

Contact
Vadym Kazulkin
ip.labs Bonn, Germany
Co-Organizer: 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
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
But what are the challenges

AWS Lambda Basics

Creating AWS Lambda with Java 1/3
:
Source https://blog.runscope.com/posts/how-to-write-your-first-aws-lambda-function

:
Source https://blog.runscope.com/posts/how-to-write-your-first-aws-lambda-function

:
Source https://docs.aws.amazon.com/lambda/latest/dg/java-context.html

AWS Lambda Price Model

Cost for Lambda
REQUEST DURATION

GB-Second
ONE SECOND ONE GB
Christian Bannes and Vadym Kazulkin @VKazulkin , ip.labs GmbH

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

Cold Start
:
Sources: Ajay Nair „Become a Serverless Black Belt” https://www.youtube.com/watch?v=oQFORsso2go
Tomasz Łakomy "Notes from Optimizing Lambda Performance for Your Serverless Applications“ https://tlakomy.com/optimizing-lambda-performance-for-serverless-applications

• Start Firecracker VM
• 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

Function lifecycle- a full cold start
:

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
• Instantiation outside of the handler method (static initializer block) to
communicate with other (AWS) services (e.g. DynamoDB, SNS, SQS, 3rd party)
• Artifact size
Source: Stefano Buliani : "Best practices for AWS Lambda and Java„ https://www.youtube.com/watch?v=ddg1u5HLwg8
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/

AWS Lambda cold starts by memory size, runtime and artifact size
Source: Mike Roberts "Analyzing Cold Start latency of AWS Lambda" https://blog.symphonia.io/posts/2020-06-30_analyzing_cold_start_latency_of_aws_lambda
Artifact Size:
• Small zip (1KB)
• Large zip (48MB)
• Large uberjar (53MB)

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
• Instantiation outside of the handler method (static instantiation) to communicate
with other (AWS) services (e.g. DynamoDB, SNS, SQS, 3rd party)
• Artifact size
• 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

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 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
• runtime byte code generation
• runtime generated proxies
• dynamic class loading
Use DI Frameworks like Micronaut, Quarkus or Dagger which aren‘t
reflection-based

Improvements 3/4
Strive for cost optimization

Cost scales
linearly with
memory

Improvements 4/4
More memory = more expensive?

Tooling for AWS Lambda in Java

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 Lambda
Powertools Java 1/3
https://aws.amazon.com/de/blogs/opensource/simplifying-serverless-best-practices-with-aws-lambda-powertools-java/

AWS Lambda
Powertools Java 2/3
When using different Java
annotations provided by the
library, configure the aspectj-
maven-plugin to compile-time
weave the aws-lambda-
powertools-java aspects into
your project.

AWS Lambda
Powertools Java 3/3

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

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 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

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
• Avoid runtime byte code generation, runtime generated proxies and
dynamic class loading as much as possible
• Process annotations at compile time
• The common goals:
• increase developer productivity
• speed up start up times and decrease memory usage for Microservice and
Serverless Java applications
• with and without usage of GraalVM and native image

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

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 for building GraalVM native image
• Maven plugin in development

Quarkus
Source: https://quarkus.io/

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 for multi cloud solutions

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 GraalVM
• Build time
• Native Image Size
• (Cold) Startup Time
• Request/Invocation duration
• Memory Consumption
• Plain
• Application Size
• (Cold) Start Time
• Request/Invocation duration
• Memory Consumption

Conclusion 1/2
• 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 maximal 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 2/2
• 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 usage of the same managed Lambda Runtime
• 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
Source: „https://stackoverflow.com/questions/63328298/how-do-you-debug-a-no-instances-of-are-allowed-in-the-image-heap-when-buil

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

Adopting Java for the Serverless world at Serverless Meetup Italy

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