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AWSLambdaJavaSnapStart Alternatives
Similar projects and alternatives to AWSLambdaJavaSnapStart
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Sevalla
Deploy and host your apps and databases, now with $50 credit! Sevalla is the PaaS you have been looking for! Advanced deployment pipelines, usage-based pricing, preview apps, templates, human support by developers, and much more!
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aws-lambda-java-libs
Official mirror for interface definitions and helper classes for Java code running on the AWS Lambda platform.
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Spring Boot
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InfluxDB
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serverless-java-container
A Java wrapper to run Spring, Spring Boot, Jersey, and other apps inside AWS Lambda.
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aws-lambda-power-tuning
AWS Lambda Power Tuning is an open-source tool that can help you visualize and fine-tune the memory/power configuration of Lambda functions. It runs in your own AWS account - powered by AWS Step Functions - and it supports three optimization strategies: cost, speed, and balanced.
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AWSLambdaJavaWithQuarkus
Explore ways to run Quarkus web application with AWS Lambda Java or Customer Runtime with GraalVM Native Image
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AWSLambdaJavaDockerImage
Different examples of solutions API Gateway->Lambda->DynamoDB to deploy it on Lambda with the Docker Container Image based Java application (pure Java or with Spring Boot 3 framework) and measure Lambda performance (cold and warm start times)
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AWSLambdaJavaSnapStart discussion
AWSLambdaJavaSnapStart reviews and mentions
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Quarkus 3 application on AWS Lambda- Part 2 Reducing Lambda cold starts with Lambda SnapStart
To ensure reliability, Lambda manages multiple copies of each snapshot. Lambda automatically patches snapshots and their copies with the latest runtime and security updates. When we call the function version for the first time and as the calls increase, Lambda continues new execution environments from the cached snapshot instead of initialising them from scratch, which improves startup latency. More information can be found in the article Reducing Java cold starts on AWS Lambda functions with SnapStart. I have published the whole series about Lambda SnapStart for Java applications.
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AWS SnapStart - Part 27 Using insights from AWS Lambda Profiler Extension for Java to reduce Lambda cold starts
If you don't like to use APIGatewayProxyRequestEvent SnapStart priming, please also remove the dependency to aws-lambda-java-serialization in the pom.xml as it contributes additional 4.5 MB to the Lambda deployment artifact size.
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AWS Lambda Profiler Extension for Java- Part 2 Improving Lambda performance with Lambda SnapStart and priming
You can find the source code in my pure-lambda-21 repo. I only updated dependencies in the pom.xml to use its recent versions.
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AWS Lambda Profiler Extension for Java- Part 1 Introduction
You've probably already read my article series about AWS Lambda SnaptStart and know that I like to explore SnapStart priming techniques. In the next part of this article series, I'll explain how these flame graphs gave me some ideas about how to prime even more and therefore to reduce the cold starts of the Lambda function. Stay tuned !
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AWS SnapStart - Part 26 Measuring cold and warm starts with Java 21 using different garbage collection algorithms
The Z Garbage Collector. There are 2 different ZGC algorithms: default and the newer one- generational. You can set it explicitly in AWS SAM template by adding -XX:+UseZGC or -XX:+UseZGC -XX:+ZGenerational to the JAVA_TOOL_OPTIONS environment variable.
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Spring Boot 3 application on AWS Lambda - Part 11 Measuring cold and warm starts of Lambda function using Docker Container Image
AWS Lambda SnapStart which significantly reduces cold start times is currently only available for Java Corretto managed runtimes (11, 17 and 21) and not for Docker container images. You can explore jlink tool to assemble and optimize a set of modules and their dependencies into a smaller custom runtime image and Class data sharing (CDS) though which helps reduce the startup time for Java programming language applications, in particular smaller applications, as well as reduce footprint. The advantage of using the Docker Image as deployment artifact for Java is the ability to use recent Java runtime like Java 23 which will be released in September.
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AWS SnapStart - Part 25 Measuring cold and warm starts with Java 21 using Lambda layer (2)
In pom.xml you see all dependencies with the scope provided (by the Lambda layer attached).
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AWS SnapStart - Part 24 Measuring cold and warm starts with Java 21 using Lambda layer (1)
In our experiment we'll use the sample application. There are basically 2 Lambda functions defined in the AWS SAM template which both respond to the API Gateway requests and retrieve product by id received from the API Gateway from DynamoDB. One Lambda function GetProductByIdWithPureJava21LambdaWithCommonLayer can be used with and without SnapStart and the second one GetProductByIdWithPureJava21LambdaAndPrimingWithCommonLayer uses SnapStart and DynamoDB request invocation priming.
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How to create an publish and use layers for Java 21 Lambda functions
For the sake of exploration we'll use the sample application for creating the Lambda layer with Java 21 runtime packaging the following dependencies into the layer :
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AWS SnapStart - Part 23 Measuring cold and warm starts with Java 17 using asynchronous HTTP clients
In our experiment we'll re-use the application introduced in part 8 for this and rewrite it to use asynchronous HTTP client. You can the find application code here. 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 GetProductByIdWithPureJava17AsyncLambda can be used with and without SnapStart and the second one GetProductByIdWithPureJava17AsyncLambdaAndPriming uses SnapStart and DynamoDB request invocation priming. We give both Lambda functions 1024 MB memory.
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The primary programming language of AWSLambdaJavaSnapStart is Java.
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