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docs: Started cleaning up example doc (#1291)
* Started cleaning up example doc * More work * More docs * More docs * More docs * Clean up SQS * Did validationg * Consistency * Add CF * More cleanp * Add magic back * Update examples/README.md Co-authored-by: Jérôme Van Der Linden <[email protected]> * Fix naming * fix syntax --------- Co-authored-by: Jérôme Van Der Linden <[email protected]>
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docs/index.md

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```
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???+ tip "Why a different configuration?"
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Lambda Powertools for Java is using [AspectJ](https://eclipse.dev/aspectj/doc/released/progguide/starting.html) internally
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Powertools for AWS Lambda (Java) is using [AspectJ](https://eclipse.dev/aspectj/doc/released/progguide/starting.html) internally
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to handle annotations. Recently, in order to support Java 17 we had to move to `dev.aspectj:aspectj-maven-plugin` because
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`org.codehaus.mojo:aspectj-maven-plugin` does not support Java 17.
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Under the hood, `org.codehaus.mojo:aspectj-maven-plugin` is based on AspectJ 1.9.7,

examples/README.md

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## aws-lambda-powertools-examples
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# Powertools for AWS Lambda (Java) Examples
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This directory holds example projects demoing different components of the Powertools for AWS Lambda (Java).
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Each example can be copied from its subdirectory and used independently of the rest of this repository.
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Each example can be copied from its subdirectory and used independently of the rest of this repository.
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## The Examples
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* [powertools-examples-core](powertools-examples-core) - Demonstrates the core logging, tracing, and metrics modules
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* [powertools-examples-idempotency](powertools-examples-idempotency) - An idempotent HTTP API
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* [powertools-examples-parameters](powertools-examples-parameters) - Uses the parameters module to provide runtime parameters to a function
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* [powertools-examples-serialization](powertools-examples-serialization) - Uses the serialization module to serialize and deserialize API Gateway & SQS payloads
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* [powertools-examples-sqs](powertools-examples-sqs) - Processes SQS batch requests
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* [powertools-examples-validation](powertools-examples-validation) - Uses the validation module to validate user requests received via API Gateway
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* [powertools-examples-cloudformation](powertools-examples-cloudformation) - Deploys a Cloudformation custom resource
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## Working with AWS Serverless Application Model (SAM) Examples
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Many of the examples use [AWS Serverless Application Model](https://aws.amazon.com/serverless/sam/) (SAM). To get started
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with them, you can use the SAM Command Line Interface (SAM CLI) to build it and deploy an example to AWS.
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To use the SAM CLI, you need the following tools.
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* SAM CLI - [Install the SAM CLI](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html)
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* Java11 - [Install the Java 11](https://docs.aws.amazon.com/corretto/latest/corretto-11-ug/downloads-list.html)
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* Maven - [Install Maven](https://maven.apache.org/install.html)
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* Docker - [Install Docker community edition](https://hub.docker.com/search/?type=edition&offering=community)
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To learn more about SAM,
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[check out the developer guide](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/using-sam-cli.html).
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You can use the CLI to [test events locally](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/using-sam-cli-local-invoke.html),
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and [run the application locally](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/using-sam-cli-local-start-api.html),
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amongst other things.
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To build and deploy an example application for the first time, run the following in your shell:
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```bash
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# Switch to the directory containing an example for the powertools-core module
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$ cd powertools-examples-core
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# Build and deploy the example
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$ sam build
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$ sam deploy --guided
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```
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The first command will build the source of your application. The second command will package and deploy your application to AWS, with a series of prompts:
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* **Stack Name**: The name of the stack to deploy to CloudFormation. This should be unique to your account and region, and a good starting point would be something matching your project name.
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* **AWS Region**: The AWS region you want to deploy your app to.
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* **Confirm changes before deploy**: If set to yes, any change sets will be shown to you before execution for manual review. If set to no, the AWS SAM CLI will automatically deploy application changes.
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* **Allow SAM CLI IAM role creation**: Many AWS SAM templates, including this example, create AWS IAM roles required for the AWS Lambda function(s) included to access AWS services. By default, these are scoped down to minimum required permissions. To deploy an AWS CloudFormation stack which creates or modified IAM roles, the `CAPABILITY_IAM` value for `capabilities` must be provided. If permission isn't provided through this prompt, to deploy this example you must explicitly pass `--capabilities CAPABILITY_IAM` to the `sam deploy` command.
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* **Save arguments to samconfig.toml**: If set to yes, your choices will be saved to a configuration file inside the project, so that in the future you can just re-run `sam deploy` without parameters to deploy changes to your application.
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You can find your API Gateway Endpoint URL in the output values displayed after deployment.
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### SAM - Other Tools
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If you prefer to use an integrated development environment (IDE) to build and test your application, you can use the AWS Toolkit.
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The AWS Toolkit is an open source plug-in for popular IDEs that uses the SAM CLI to build and deploy serverless applications on AWS. The AWS Toolkit also adds a simplified step-through debugging experience for Lambda function code. See the following links to get started.
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* [PyCharm](https://docs.aws.amazon.com/toolkit-for-jetbrains/latest/userguide/welcome.html)
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* [IntelliJ](https://docs.aws.amazon.com/toolkit-for-jetbrains/latest/userguide/welcome.html)
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* [VS Code](https://docs.aws.amazon.com/toolkit-for-vscode/latest/userguide/welcome.html)
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* [Visual Studio](https://docs.aws.amazon.com/toolkit-for-visual-studio/latest/user-guide/welcome.html)

examples/powertools-examples-cloudformation/README.md

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# Cloudformation Custom Resource Example
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# Powertools for AWS Lambda (Java) - Cloudformation Custom Resource Example
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This project contains an example of Lambda function using the CloudFormation module of Powertools for AWS Lambda in Java. For more information on this module, please refer to the [documentation](https://awslabs.github.io/aws-lambda-powertools-java/utilities/custom_resources/).
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This sample can be used either with the Serverless Application Model (SAM) or with CDK.
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### Deploy with SAM CLI
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To use the SAM CLI, you need the following tools.
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* SAM CLI - [Install the SAM CLI](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html)
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* Java 8 - [Install Java 8](https://docs.aws.amazon.com/corretto/latest/corretto-8-ug/downloads-list.html)
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* Maven - [Install Maven](https://maven.apache.org/install.html)
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* Docker - [Install Docker community edition](https://hub.docker.com/search/?type=edition&offering=community)
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To build and deploy this application for the first time, run the following in your shell:
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```bash
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cd infra/sam
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sam build
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sam deploy --guided --parameter-overrides BucketNameParam=my-unique-bucket-20230717
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```
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To deploy it using the SAM CLI, check out the instructions for getting started in [the examples directory](../README.md)
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### Deploy with CDK
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To use CDK you need the following tools.
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# CoreUtilities
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# Powertools for AWS Lambda (Java) - Core Utilities Example
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This project contains source code and supporting files for a serverless application that you can deploy with the SAM CLI. It includes [Powertools for AWS Lambda (Java) for operational best practices](https://github.com/aws-powertools/powertools-lambda-java), and the following files and folders.
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This project demonstrates the Lambda for Powertools Java module - including
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[logging](https://docs.powertools.aws.dev/lambda/java/core/logging/),
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[tracing](https://docs.powertools.aws.dev/lambda/java/core/tracing/), and
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[metrics](https://docs.powertools.aws.dev/lambda/java/core/metrics/).
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- HelloWorldFunction/src/main - Code for the application's Lambda function.
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- events - Invocation events that you can use to invoke the function.
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- HelloWorldFunction/src/test - Unit tests for the application code.
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- template.yaml - A template that defines the application's AWS resources.
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It is made up of the following:
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The application uses several AWS resources, including Lambda functions and an API Gateway API. These resources are defined in the `template.yaml` file in this project. You can update the template to add AWS resources through the same deployment process that updates your application code.
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If you prefer to use an integrated development environment (IDE) to build and test your application, you can use the AWS Toolkit.
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The AWS Toolkit is an open source plug-in for popular IDEs that uses the SAM CLI to build and deploy serverless applications on AWS. The AWS Toolkit also adds a simplified step-through debugging experience for Lambda function code. See the following links to get started.
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* [PyCharm](https://docs.aws.amazon.com/toolkit-for-jetbrains/latest/userguide/welcome.html)
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* [IntelliJ](https://docs.aws.amazon.com/toolkit-for-jetbrains/latest/userguide/welcome.html)
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* [VS Code](https://docs.aws.amazon.com/toolkit-for-vscode/latest/userguide/welcome.html)
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* [Visual Studio](https://docs.aws.amazon.com/toolkit-for-visual-studio/latest/user-guide/welcome.html)
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- [App.java](src/main/java/helloworld/App.java) - Code for the application's Lambda function.
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- [events](events) - Invocation events that you can use to invoke the function.
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- [AppTests.java](src/test/java/helloworld/AppTest.java) - Unit tests for the application code.
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- [template.yaml](template.yaml) - A template that defines the application's AWS resources.
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## Deploy the sample application
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The Serverless Application Model Command Line Interface (SAM CLI) is an extension of the AWS CLI that adds functionality for building and testing Lambda applications. It uses Docker to run your functions in an Amazon Linux environment that matches Lambda. It can also emulate your application's build environment and API.
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To use the SAM CLI, you need the following tools.
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* SAM CLI - [Install the SAM CLI](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html)
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* Java11 - [Install the Java 11](https://docs.aws.amazon.com/corretto/latest/corretto-11-ug/downloads-list.html)
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* Maven - [Install Maven](https://maven.apache.org/install.html)
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* Docker - [Install Docker community edition](https://hub.docker.com/search/?type=edition&offering=community)
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To build and deploy your application for the first time, run the following in your shell:
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Coreutilities$ sam build
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Coreutilities$ sam deploy --guided
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```
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The first command will build the source of your application. The second command will package and deploy your application to AWS, with a series of prompts:
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* **Stack Name**: The name of the stack to deploy to CloudFormation. This should be unique to your account and region, and a good starting point would be something matching your project name.
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* **AWS Region**: The AWS region you want to deploy your app to.
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* **Confirm changes before deploy**: If set to yes, any change sets will be shown to you before execution for manual review. If set to no, the AWS SAM CLI will automatically deploy application changes.
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* **Allow SAM CLI IAM role creation**: Many AWS SAM templates, including this example, create AWS IAM roles required for the AWS Lambda function(s) included to access AWS services. By default, these are scoped down to minimum required permissions. To deploy an AWS CloudFormation stack which creates or modified IAM roles, the `CAPABILITY_IAM` value for `capabilities` must be provided. If permission isn't provided through this prompt, to deploy this example you must explicitly pass `--capabilities CAPABILITY_IAM` to the `sam deploy` command.
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* **Save arguments to samconfig.toml**: If set to yes, your choices will be saved to a configuration file inside the project, so that in the future you can just re-run `sam deploy` without parameters to deploy changes to your application.
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You can find your API Gateway Endpoint URL in the output values displayed after deployment.
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## Use the SAM CLI to build and test locally
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Build your application with the `sam build` command.
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```bash
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Coreutilities$ sam build
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```
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The SAM CLI installs dependencies defined in `HelloWorldFunction/pom.xml`, creates a deployment package, and saves it in the `.aws-sam/build` folder.
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Test a single function by invoking it directly with a test event. An event is a JSON document that represents the input that the function receives from the event source. Test events are included in the `events` folder in this project.
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```bash
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Coreutilities$ sam local invoke HelloWorldFunction --event events/event.json
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```
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The SAM CLI can also emulate your application's API. Use the `sam local start-api` to run the API locally on port 3000.
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```bash
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Coreutilities$ sam local start-api
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Coreutilities$ curl http://localhost:3000/
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```
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The SAM CLI reads the application template to determine the API's routes and the functions that they invoke. The `Events` property on each function's definition includes the route and method for each path.
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```yaml
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Events:
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HelloWorld:
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Type: Api
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Path: /hello
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Method: get
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```
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## Add a resource to your application
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The application template uses AWS Serverless Application Model (AWS SAM) to define application resources. AWS SAM is an extension of AWS CloudFormation with a simpler syntax for configuring common serverless application resources such as functions, triggers, and APIs. For resources not included in [the SAM specification](https://github.com/awslabs/serverless-application-model/blob/master/versions/2016-10-31.md), you can use standard [AWS CloudFormation](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-template-resource-type-ref.html) resource types.
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This sample is based on Serverless Application Model (SAM). To deploy it, check out the instructions for getting
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started with SAM in [the examples directory](../README.md)
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## Fetch, tail, and filter Lambda function logs
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## Test the application
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To simplify troubleshooting, SAM CLI has a command called `sam logs`. `sam logs` lets you fetch logs generated by your deployed Lambda function from the command line. In addition to printing the logs on the terminal, this command has several nifty features to help you quickly find the bug.
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`NOTE`: This command works for all AWS Lambda functions; not just the ones you deploy using SAM.
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Once the app is deployed, you can invoke the endpoint like this:
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```bash
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Coreutilities$ sam logs -n HelloWorldFunction --stack-name <Name-of-your-deployed-stack> --tail
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curl https://[REST-API-ID].execute-api.[REGION].amazonaws.com/Prod/hello/
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```
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You can find more information and examples about filtering Lambda function logs in the [SAM CLI Documentation](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-logging.html).
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## Unit tests
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Tests are defined in the `HelloWorldFunction/src/test` folder in this project.
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```bash
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Coreutilities$ cd HelloWorldFunction
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HelloWorldFunction$ mvn test
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```
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The response itself isn't particularly interesting - you will get back some information about your IP address. If
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you go to the Lambda Console and locate the lambda you have deployed, then click the "Monitoring" tab you will
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be able to find:
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## Cleanup
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* **View X-Ray traces** - Display the traces captured by the traces module. These include subsegments for the
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different function calls within the example
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* **View Cloudwatch logs** - Display the structured logging output of the example
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To delete the sample application that you created, use the AWS CLI. Assuming you used your project name for the stack name, you can run the following:
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Likewise, from the CloudWatch dashboard, under **Metrics**, **all metrics**, you will find the namespaces `Another`
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and `ServerlessAirline`. The values in each of these are published by the code in
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[App.java](src/main/java/helloworld/App.java).
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You can also watch the trace information or log information using the SAM CLI:
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```
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# Appendix
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## Powertools
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**Tracing**
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[Tracing utility](https://docs.powertools.aws.dev/lambda-java/core/tracing/) provides functionality to reduce the overhead of performing common tracing tasks. It traces the execution of this sample code including the response and exceptions as tracing metadata - You can visualize them in AWS X-Ray.
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**Logger**
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[Logging utility](https://docs.powertools.aws.dev/lambda-java/core/logging/) creates an opinionated application Logger with structured logging as the output, dynamically samples a percentage (samplingRate) of your logs in DEBUG mode for concurrent invocations, log incoming events as your function is invoked, and injects key information from Lambda context object into your Logger - You can visualize them in Amazon CloudWatch Logs.
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**Metrics**
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[Metrics utility](https://docs.powertools.aws.dev/lambda-java/core/metrics/) captures cold start metric of your Lambda invocation, and could add additional metrics to help you understand your application KPIs - You can visualize them in Amazon CloudWatch.
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## Resources
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See the [AWS SAM developer guide](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/what-is-sam.html) for an introduction to SAM specification, the SAM CLI, and serverless application concepts.
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Check the [Powertools for AWS Lambda (Java)](https://docs.powertools.aws.dev/lambda-java/) for more information on how to use and configure such tools
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# Tail the logs
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sam logs --tail $MY_STACK
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Next, you can use AWS Serverless Application Repository to deploy ready to use Apps that go beyond hello world samples and learn how authors developed their applications: [AWS Serverless Application Repository main page](https://aws.amazon.com/serverless/serverlessrepo/)
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# Tail the traces
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sam traces --tail
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```

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