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AWSLambdaJavaSnapStart Alternatives
Similar projects and alternatives to AWSLambdaJavaSnapStart
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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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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AWSLambdaJavaSnapStart reviews and mentions
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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 .
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The primary programming language of AWSLambdaJavaSnapStart is Java.
Popular Comparisons
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