This function.zip file contains the optimized code for the Lambda. DarchetypeArtifactId=quarkus-amazon-lambda-archetype \Īfter an “mvn clean package”, the target folder is available with the mentioned shell scripts and a function.zip file. The following code block shows the maven command to generate our project using the archetype provided by Quarkus. Still, it is good to know they are available. I don’t use them I prefer the CDK approach. The generated code also comes with a few scripts that help you deploy and interact with your Lambda. Use an environment variable to choose the Lambda to run. Some aspects that I like is that you can include multiple Lambdas in one package. The tutorial Quarkus – Amazon Lambda gives you a jump start to create your own Lambda. If there is one thing you have to like about Quarkus besides blazing-fast java applications, it is their documentation and tutorials. Read more about it on the Quarkus page Container First. That way, the image and the used resources are lower. Classes only required during setup can be removed. That way, less processing is required at the start time. The trick with Quarkus is creating a native image with as little as possible reflection and, as much as possible build metadata processing upfront. I got inspired to look into Quarkus (again) after reading this very cool blog post about running Lucene as a Lambda. However, more and more extensions become available. This procedure does limit the libraries that you can use. The improvements to first response times are impressive, as is the memory consumption. It uses GraalVM to build Docker images running Java as native applications. The goal for Quarkus is to create a framework that makes Java applications ready for the cloud. This blog post introduces Quarkus, GraalVM, and we top it off with AWS CDK to deploy the sample. What if you want to keep writing your Lambda in Java? A query in google teaches us that Quarkus is the way to go. Edge Functions run on top of the JavaScript V8 engine, so there is not access to all Node.js APIs such as process, path, or fs when developing with Edge Functions.Cloud Java with Lambda does not have to be slowĪs a seasoned Java programmer, usually with Spring Boot, it hurts to learn that most lambdas use JavaScript/TypeScript. Vercel now also has support for Edge Functions, which use a lightweight Node.js runtime, enabling greater performance with near-zero cold starts.īy opting into the constraints of the Edge Runtime, you can eliminate the overhead of the full Node.js runtime booting. database) rather than reading directly from the Edge cache (faster).įaster performance with Vercel Edge Functions Note that cache misses will still need to request data from your origin (e.g. This will help ensure optimal performance for repeat visitors, and Vercel’s Edge cache even supports stale-while-revalidate headers. Use proper caching headers: Serverless Function responses can be cached using Cache-Control headers.Review your bundle and try to eliminate larger dependencies using a bundle analyzer. If you have large dependencies, parsing and evaluating JavaScript code can take 3-5 seconds or longer. Choose smaller dependencies inside your functions: Cold start times are correlated to function size, which is often mostly from external dependencies.Choose a region that’s closest to your data source for optimal performance. All customers can change the default region for their functions in their project settings. Choose the correct region for your functions: Vercel Serverless Functions are deployed to us-east by default.The following suggestions will help you ensure optimal performance of your Vercel Serverless Functions: This guide will help you improve the performance of your Functions and understand how to determine if the latency increase is from a cold start. The duration of a cold start varies from under 100 ms to over 1 second. Cold starts typically occur in under 1% of invocations. Subsequent requests to that Function are then considered warm. When a Serverless Function starts for the first time, it’s a cold start. If you are seeing slow response times, this guide will help you identify the root issue for the additional latency. Vercel Serverless Functions enable developers to write server-side logic to connect to their database or external APIs.
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