Quarkus
AWSLambdaJavaSnapStart | Quarkus | |
---|---|---|
18 | 128 | |
5 | 13,211 | |
- | 1.8% | |
9.1 | 10.0 | |
10 days ago | about 23 hours ago | |
Java | Java | |
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AWSLambdaJavaSnapStart
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Spring Boot 3 application on AWS Lambda - Part 4 Measuring cold and warm starts with AWS Serverless Java Container
In the part 2 of the series we introduced AWS Serverless Java Container and in the part 3 we demonstrated how to write AWS Lambda with AWS Serverless Java Container using Java 21 and Spring Boot 3.2. In this article of the series, we'll measure the cold and warm start time including enabling SnapStart on the Lambda function but also applying various priming techniques like priming the DynamoDB invocation and priming the whole web request. We'll use Spring Boot 3.2 sample application for our measurements, and for all Lambda functions use JAVA_TOOL_OPTIONS: "-XX:+TieredCompilation -XX:TieredStopAtLevel=1" and give them all 1024 MB memory.
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AWS SnapStart - Part 19 Measuring cold starts and deployment time with Java 17 using different Lambda memory settings
In our experiment we'll re-use the application introduced in part 8 for this. Here is the code for the sample application. There are basically 2 Lambda functions which both respond to the API Gateway requests and retrieve product by id received from the Api Gateway from DynamoDB. One Lambda function GetProductByIdWithPureJava17Lambda can be used with and without SnapStart and the second one GetProductByIdWithPureJava17LambdaAndPriming uses SnapStart and DynamoDB request invocation priming. We'll measure cold starts using the following memory settings in MBs : 256, 512, 768, 1024, 1536 and 2048.
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Spring Boot 3 application on AWS Lambda - Part 3 Develop application with AWS Serverless Java Container
For the sake of explanation we'll use our Spring Boot 3.2 sample application and use Java 21 runtime for our Lambda functions.
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AWS SnapStart - Part 18 Measuring cold starts with Java 17 using different deployment artifact sizes
Medium Size application with DynamoDB persistence. We'll re-use the application introduced in part 8 for this. There are basically 2 Lambda functions which both respond to the API Gateway requests and retrieve product by id received from the API Gateway from DynamoDB. One Lambda function can be used with and without SnapStart and the second one uses SnapStart and DynamoDB request invocation priming. There are bunch of dependencies declared in pom.xml like aws-lambda-java-core, aws-lambda-java-events, slf4j-simple, crac, dynamodb and url-connection-client. The deployment size of such application is 15 MB.
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Spring Boot 3 application on AWS Lambda - Part 2 Introduction to AWS Serverless Java Container
and others will be a part of a separate project and therefore also used without the usage of the all other AWS Serverless Java Container APIs only for purpose of mocking the API Gateway Request/Response (i.e. for Priming). I've already used them for Priming requests for Quarkus and Micronaut frameworks. Dependency to the AWS Serverless Java Container was included by default for the Micronaut on AWS Lambda SnapStart Priming example and needed to be added explicitly for the Quarkus on AWS Lambda SnapStart Priming example only to implement web request priming. We'll make use of these abstractions in one of our subsequent articles when we'll discuss cold and warm start time improvements for Spring Boot 3 application on AWS Lambda using AWS Lambda SnapStart in conjunction with priming techniques.
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AWS SnapStart - Part 16 Measuring cold and warm starts with Java 21 using different asynchronous HTTP clients
Using the asynchronous DynamoDBClient means that we'll be using the asynchronous programming model, so the invocation of getItem will return CompletableFuture and this is the code to retrieve the item itself (for the complete code see)
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AWS SnapStart - Part 15 Measuring cold and warm starts with Java 21 using different synchronous HTTP clients
Let's figure out how to configure the HTTP Client. There are 2 places to do it : pom.xml and DynamoProductDao
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AWS SnapStart - Part 13 Measuring warm starts with Java 21 using different Lambda memory settings
In our experiment we'll re-use the application introduced in part 9 for this. There are basically 2 Lambda functions which both respond to the API Gateway requests and retrieve product by id received from the API Gateway from DynamoDB. One Lambda function GetProductByIdWithPureJava21Lambda can be used with and without SnapStart and the second one GetProductByIdWithPureJava21LambdaAndPriming uses SnapStart and DynamoDB request invocation priming. We'll measure cold and warm starts using the following memory settings in MBs : 256, 512, 768, 1024, 1536 and 2048. I also put the cold starts measured in the part 12 into the tables to see both cold and warm starts in one place. The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts for the duration of our experiment which ran for approximately 1 hour. Here is the code for the sample application. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. Abbreviation c is for the cold start and w is for the warm start.
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AWS SnapStart - Part 11 Measuring cold starts with Java 21 using different deployment artifact sizes
Small HelloWorld-style application which consists of Lambda receiving the APIGateway request with product id and basically prints this id out. There is no persistence layer involved. The application is that simple, that there is now priming to be applied. There are only several dependencies declared in pom.xml like aws-lambda-java-core and slf4j-simple. The deployment artifact size of such application is 137 KB only.
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Measuring Lambda cold starts with AWS SnapStart - Part 8 Measuring with Java 17
For measurement purposes I created/copied the sample application and configured Lambda functions to use Java 17 runtime for Lambda and 1024 MB memory .
Quarkus
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How Netflix Uses Java
Meanwhile, if you're building something smaller than Netflix, I'm writing a book just for that (https://opinionatedlaunch.com/).
It's about mobile apps, but I talk about backend at great length, especially since my background is Java. The book is called "opinionated" because I cover Quarkus (https://quarkus.io/), monolith, Fly.io, and no K8s.
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Analyze and debug Quarkus based AWS Lambda functions with X-Ray
Quarkus is a Java based framework tailored for GraalVM and HotSpot, which results in an amazingly fast boot time while having an incredibly low memory footprint. It offers near instant scale up and high density memory utilization which can be very useful for container orchestration platforms like Kubernetes or Serverless runtimes like AWS Lambda.
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Quarkus : Greener, Better, Faster, Stronger
Other useful articles related to Quarkus extension development can be found under the Writing Extensions guide category on the Quarkus.io website.
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Quarkus 3.4 - Container-first Java Stack: Install with OpenJDK 21 and Create REST API
Quarkus is one of Java frameworks for microservices development and cloud-native deployment. It is developed as container-first stack and working with GraalVM and HotSpot virtual machines (VM).
- Java 21 Released
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Java 21 makes me like Java again
If you GraalVM Native Image or one of the frameworks based on it then bootstrap cost disappears:
https://quarkus.io
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Mentorship Group
We are open to practice using any open-source project, however, we want to set a sharp focus on projects maintained by the Red Hat, and our own projects in the Caravana Cloud organization on github. If there is no reason to do differently, we'll build using technologies such as OpenShift, Quarkus, Ansible and related projects.
- Como desenvolvi um backend web em Clojure
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Is anyone using Quarkus for monoithic, full-stack web apps?
The Quarkus you are talking about is this one? https://quarkus.io/
- Quarkus 3.1.0.Final released - Programmatic creation of Reactive REST Clients, Kotlin 1.8.21 and more
What are some alternatives?
serverless-java-frameworks-samples
ktor - Framework for quickly creating connected applications in Kotlin with minimal effort
serverless-java-container - A Java wrapper to run Spring, Spring Boot, Jersey, and other apps inside AWS Lambda.
Micronaut - Micronaut Application Framework
Hey - HTTP load generator, ApacheBench (ab) replacement
helidon - Java libraries for writing microservices
Spring Boot - Spring Boot
spring-native - Spring Native is now superseded by Spring Boot 3 official native support
aws-sdk-java-v2 - The official AWS SDK for Java - Version 2
javalin - A simple and modern Java and Kotlin web framework [Moved to: https://github.com/javalin/javalin]