public class LambdaMethodHandler {
    public String handleRequest(String input, Context context) {
        context.getLogger().log("Input: " + input);
        return "Hello World - " + input;
3.2. RequestHandler Interface
We can also implement the RequestHandler into our class and override the handleRequest method, which will be our entry point for requests:
public class LambdaRequestHandler
  implements RequestHandler<String, String> {
    public String handleRequest(String input, Context context) {
        context.getLogger().log("Input: " + input);
        return "Hello World - " + input;
In this case, the input will be the same as in the first example.
3.3. RequestStreamHandler Interface
We can also implement RequestStreamHandler in our class and override the handleRequest method.
The difference is that InputStream, ObjectStream and Context objects are being passed as parameters:
public class LambdaRequestStreamHandler
  implements RequestStreamHandler {
    public void handleRequest(InputStream inputStream, 
      OutputStream outputStream, Context context) {
        String input = IOUtils.toString(inputStream, "UTF-8");
        outputStream.write(("Hello World - " + input).getBytes());
4. Build Deployment File
With everything configured, we can create the deployment file by simply running:

mvn clean package shade:shade
The jar file will be created under the target folder.
5. Create Lambda Function via Management Console
Sign in to AWS Amazon and then click on Lambda under services. This page will show the lambda functions list, which is already created.
Here are the steps required to create our lambda:
“Select blueprint” and then select “Blank Function”
“Configure triggers” (in our case, we don’t have any triggers or events)
“Configure function”:
Name: Provide MethodHandlerLambda,
Description: Anything that describes our lambda function
Runtime: Select java8
Code Entry Type and Function Package: Select “Upload a .ZIP and Jar file” and click on the “Upload” button. Select the file which contains lambda code.
Under Lambda function handler and role:
Handler name: Provide lambda function handler name com.baeldung.MethodHandlerLambda::handleRequest
Role name: If any other AWS resources are used in the lambda function, provide access by creating/using the existing role and define the policy template.
Under Advanced settings:
Memory: Provide memory that our lambda function will use.
Timeout: Select a time for execution of the lambda function for each request.
Once you are done with all inputs, click “Next”, which will show you to review the configuration.
Once a review is completed, click on “Create Function”.
6. Invoke the Function
Once the AWS lambda function is created, we’ll test it by passing in some data:
Click on your lambda function from lists and then click on the “Test” button
A popup window will appear, which contains a dummy value for sending data. Override the data with “Baeldung”
Click on the “Save and test” button
On the screen, you can see the Execution result section with successfully returned output as:
"Hello World - Baeldung"
7. Conclusion
In this quick intro article, we’ve created a simple AWS Lambda app using Java 8, deployed that to AWS and tested it.
The full source code for the example app can be found on GitHub.
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