AWS Lambda Response Streaming Explained AWS Lambda Response Streaming Explained

When I first started learning about AWS Lambda, I was amazed on how it helps developers execute their code without worrying about the infrastructure. At some point, while learning about serverless applications, I had a thought: What if an application needs to return a response faster than it would take to generate it?

These are the things that AWS Lambda Response Streaming is designed for!

What Is AWS Lambda Response Streaming?

AWS Lambda Response Streaming is a service that helps your application return information to a user faster.

If you are familiar with how an application typically responds to a request, you would know that the client usually has to wait for the application to prepare and return the response. However, with the introduction of a feature called Response Streaming, this will no longer be a concern as long as you can begin to stream the response as soon as possible.

You are probably wondering why an application would need something like this. Well, here are a few reasons:

How Does Lambda Response Streaming Works?

The workings of this feature are actually quite simple!

This becomes much more apparent when we begin to talk about a practical application.

Let’s say, hypothetically, that you have an AI language model that provides an answer. Your application has to pass along a request to this model and then return the AI’s response, which can be a lengthy process. Normally, before this feature, your users would be forced to endure a long wait before seeing the response. However, with response streaming, we can begin to gradually stream the response. This makes it more pleasant to use.

This feature is perfect for applications that return text, especially AI-made texts. That is far from being the only case, use for however. If we can begin to gradually stream out a response, then the users no longer have to suffer long waits.

Java + Kotlin

There is a significant amount of interest within Java and Kotlin developers when it comes to features like this. If you are building an application using these languages, there are specific ways which you can implement streamed responses. Java developers will benefit the most from this guide with the implementation specifics for AWS Lambda functions written in Java. These applications will have access to specific instructions according to their chosen architecture, runtime and integrations. Kotlin developers should also consider this guide. This is because Kotlin applications typically utilize the JVM runtime. While this guide will mention Kotlin-specific considerations as we go through the language-specific features, you will want to ensure that the appropriate runtime and libraries are selected to support the execution of such an application.

As mentioned above, we are able to begin streaming a packet of data as soon as it is ready. We are not required to keep it all in memory. However, what would the process be to begin streaming data from the Lambda response?

This requires that all components involved support the streaming of data. The response from a Lambda function involves a series of components, namely the data itself, the API Gateway as well as the request and response objects. If any of these objects only supports a request, it may not be possible or may be unadvisable to attempt to begin a stream before it is fully prepared.

Now You Know All About It!

By this point, you would know all about the AWS Lambda Response Streaming.

For those who have been exploring the potential applications of AWS Lambda, you would have a greater insight as to why features like these are important as we begin to shift towards more interactive applications. Developers can build more interactive and fluid applications by making use of features like these.

For everyone else, learning about this piece of technology will help you understand what these developers may discuss.