Tag Archives: AWS PHP Development

Diving Deeper into Projen: Exploring Advanced Features

Post Syndicated from Michael Tran original https://aws.amazon.com/blogs/devops/diving-deeper-into-projen-exploring-advanced-features/

We will be highlighting Projen’s powerful features that cater to various aspects of project management and development. We’ll examine how Projen enhances polyglot programming within Amazon Web Services (AWS) Cloud Development Kit constructs. We’ll also touch on its built-in support for common development tools and practices.

In our previous blog, we introduced you to the basics of getting started with Projen. Projen is a powerful project generator that simplifies the management of complex software configurations. In our prior blog, we discussed developing a new AWS cloud development kit (CDK) construct library project. For consistency, we will continue using this construct library project as our example while exploring linting, dependency management, and test coverage. It’s important to note that these practices are equally applicable to CDK applications and other project types.

AWS CDK Polyglot Construct Library

The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework that allows developers to define cloud infrastructure using familiar programming languages. In a CDK application, constructs serve as the foundational elements, allowing developers to represent either a single AWS resource or a complex combination of resources. These constructs are not only reusable but can be incorporated into other AWS CDK projects, promoting efficient and scalable development practices.

Projen and Polyglot Programming

Projen leverages the power of the JSII library, enabling developers to write constructs once and generate equivalent constructs across multiple programming languages. This feature streamlines the development process, especially when working with teams that have expertise in different languages.

Automated Publishing with Projen

With its publisher module, Projen automates the distribution of c
ructs to various package managers. This process can be integrated into a GitHub workflow, such as a build job, which triggers the publication of the library to the designated package managers.

Starting with Projen

Initiating an AWS CDK construct library project is straightforward through the Projen command npx projen new <project_type>. By executing the command npx projen new awscdk-construct, you initialize a new project complete with a projenrc file. This file contains the essential configuration for a CDK construct library, setting the stage for further customization and development.

import { awscdk } from 'projen';
const project = new awscdk.AwsCdkConstructLibrary({
  author: 'github username',
  authorAddress: 'github email',
  cdkVersion: '2.1.0',
  defaultReleaseBranch: 'main',
  jsiiVersion: '~5.0.0',
  name: 'cdkconstruct',
  projenrcTs: true,
  repositoryUrl: 'https://github.com/*****/cdkconstruct.git',

  // deps: [],                /* Runtime dependencies of this module. */
  // description: undefined,  /* The description is just a string that helps people understand the purpose of the package. */
  // devDeps: [],             /* Build dependencies for this module. */
  // packageName: undefined,  /* The "name" in package.json. */
});
project.synth();

A release.yml file is generated by projen under the github>workflow directory. This file has the details of the public registry where the construct needs to be published. By default, it will add the details for npm.

release_npm:
    name: Publish to npm

The construct can be developed in typescript under src/main.ts, our previous blog shows how to create one. If the construct needs to be published to other public registries (such as Maven for java, Pypi for python), then a projenrc file can be updated to synthesize a new release.yml file.

For example, to publish a construct developed in typescript to Maven (so that it can be used in a java application) add publishToMaven API to the projenrc file.

const project = new awscdk.AwsCdkConstructLibrary({
  author: 'github username',
  authorAddress: 'github email',
  cdkVersion: '2.1.0',
  defaultReleaseBranch: 'main',
  jsiiVersion: '~5.0.0',
  name: 'cdkconstruct',
  projenrcTs: true,
  repositoryUrl: 'https://github.com/*****/cdkconstruct.git',
  publishToMaven: {
    javaPackage: 'com.cdk.hello',
    mavenArtifactId: 'cdk-construct-jsii',
    mavenGroupId: 'com.cdk.hello',
    mavenServerId: 'github',
    mavenRepositoryUrl: 'https://maven.pkg.github.com/example/hello-jsii',
  },
});

Run npx projen and the release.yml will be updated with Maven central details.

release_maven:
    name: Publish to Maven Central
    needs: release
    ....

Similarly, it can be published to other registries.

publishToPypi: 
publishToMaven:
publishToNuGet:
publishToGo:

This way the construct is built once and published to multiple registries with different programming languages.

Running Projen build runs a variety of processes.

Figure 1: High-level Architecture showing publication to multiple public registries

Linting, Dependency Management & Test Coverage

Projen streamlines the setup process by generating a comprehensive package.json file. This file includes pre-configured dependencies for ESLint and Jest, enabling developers to maintain coding standards and ensure robust test coverage right from the start. ESLint, a widely adopted static code analysis utility, empowers developers to enforce consistent coding practices by analyzing the source code and identifying potential errors, bugs, and stylistic issues. Additionally, Jest equips developers with a comprehensive suite of tools for writing and executing unit tests, facilitating comprehensive test coverage for their codebase. While Projen provides Jest as the default testing framework, it offers developers the flexibility to incorporate alternative testing frameworks based on their project requirements.

Following with the awscdk-construct from the previous section, under test>main.test.ts a default test file is created, which can be updated for writing test cases. A default package.json is generated in the root directory.

{
  "name": "projen_hello",
  "scripts": {
    "build": "npx projen build",
    "bundle": "npx projen bundle",
    "clobber": "npx projen clobber",
    "compile": "npx projen compile",
    "default": "npx projen default",
    "deploy": "npx projen deploy",
    "destroy": "npx projen destroy",
    "diff": "npx projen diff",
    "eject": "npx projen eject",
    "eslint": "npx projen eslint",
    "package": "npx projen package",
    "post-compile": "npx projen post-compile",
    "post-upgrade": "npx projen post-upgrade",
    "pre-compile": "npx projen pre-compile",
    "synth": "npx projen synth",
    "synth:silent": "npx projen synth:silent",
    "test": "npx projen test",
    "test:watch": "npx projen test:watch",
    "upgrade": "npx projen upgrade",
    "watch": "npx projen watch",
    "projen": "npx projen"
  },
  "devDependencies": {
    "@types/jest": "^29.5.4",
    "@types/node": "^16",
    "@typescript-eslint/eslint-plugin": "^6",
    "@typescript-eslint/parser": "^6",
    "aws-cdk": "^2.1.0",
    "esbuild": "^0.19.2",
    "eslint": "^8",
    "eslint-import-resolver-node": "^0.3.9",
    "eslint-import-resolver-typescript": "^3.6.0",
    "eslint-plugin-import": "^2.28.1",
    "jest": "^29.7.0",
    "jest-junit": "^15",
    "npm-check-updates": "^16",
    "projen": "^0.73.17",
    "ts-jest": "^29.1.1",
    "ts-node": "^10.9.1",
    "typescript": "^5.2.2",
    "webpack": "5.88.2"
  },
  "dependencies": {
    "aws-cdk-lib": "^2.1.0",
    "constructs": "^10.0.5"
  },
  "license": "Apache-2.0",
  "version": "0.0.0",
  "jest": {
    "testMatch": [
      "<rootDir>/src/**/__tests__/**/*.ts?(x)",
      "<rootDir>/(test|src)/**/*(*.)@(spec|test).ts?(x)"
    ],
    "clearMocks": true,
    "collectCoverage": true,
    "coverageReporters": [
      "json",
      "lcov",
      "clover",
      "cobertura",
      "text"
    ],
    "coverageDirectory": "coverage",
    "coveragePathIgnorePatterns": [
      "/node_modules/"
    ],
    "testPathIgnorePatterns": [
      "/node_modules/"
    ],
    "watchPathIgnorePatterns": [
      "/node_modules/"
    ],
    "reporters": [
      "default",
      [
        "jest-junit",
        {
          "outputDirectory": "test-reports"
        }
      ]
    ],
    "preset": "ts-jest",
    "globals": {
      "ts-jest": {
        "tsconfig": "tsconfig.dev.json"
      }
    }
  },
  "//": "~~ Generated by projen. To modify, edit .projenrc.ts and run \"npx projen\"."
}

Projen can be extensively configured. For example, if you need to configure webpack as a module bundler, then you need to add a webpack.config.js file and update the projenrc file project.

The other dependencies can be updated in package.json by adding deps in the projenrc.ts file.

const project = new awscdk.AwsCdkTypeScriptApp({
  cdkVersion: '2.1.0',
  defaultReleaseBranch: 'main',
  name: 'projen_hello',
  projenrcTs: true,
  
  deps:[
   "express",
  ],
  
  // add webpack dependencies
  devDeps:[
    "webpack",
    "webpack-cli",
    "ts-loader",
  ]
});
  
// update pre-configured build tasks and execute webpack
project.buildTask.reset
project.buildTask.exec('npx projen');
project.buildTask.exec('npx projen test');
project.buildTask.exec('npx webpack');

Run npx projen build to synthesize a package.json.

Continuous Integration and Continuous Delivery (CI/CD)

When you create a project using Projen, it comes equipped with an automated build process that triggers upon the submission of a pull request. This is one of the key, “out-of-the-box” features that streamlines development workflows.

Projen orchestrates this process through GitHub Actions, utilizing a sequence of tasks predefined in the project’s base ‘Project’ class.

When a build is initiated, it systematically carries out several sub-tasks:

  1. Synthesis: It starts by synthesizing all the project files, ensuring they are up-to-date and correctly configured.
  2. Bundling: Next, it bundles the necessary assets for the project.
  3. Compilation: The project’s code is then compiled.
  4. Testing: Following compilation, Projen runs the suite of tests defined for the project.
  5. Packaging: Finally, it packages everything together, preparing it for deployment or distribution.

Projen manages these steps by auto-generating a build.yml file, which it places within the workflow directory of your project’s structure. This YAML file contains all the instructions for the GitHub Actions to execute the build process.

For instance, when you run the command npx projen new awscdk-app-ts, Projen sets up a TypeScript application for AWS CDK. It automatically creates a ‘build.yml’ file through the default projenrc file, which can be found in the github/workflow folder of your project repository. This automated process is designed to save time and reduce manual errors, making it an essential feature for efficient project management.

 .github       
   workflow    
    build.yml  

A Projen build is self-mutating because files generated by Projen are part of the source directory. To ensure that a pull request branch always represents the final state of the repository, you can enable the mutableBuild option in your project configuration (currently only supported for projects derived from NodeProject).

The build process can be customized by adding any task in the project class, which can execute a shell command.

const buildproject = project.addTask('build'); 
buildproject.exec('npm run build');

You can spawn a subtask as well.

const buildproject = project.addTask('world');
buildproject.exec('echo world!');

const testproject = project.addTask('test');
testproject.exec('npm test');
testproject.spawn(buildproject);

The Task also supports the condition option that determines if the condition is true before running the task.

const hello = project.addTask('hello', {
  condition: '[ -n "$CI" ]', // only execute if the CI environment variable is defined
  exec: 'echo running in a CI environment'
});

Releases and Versioning

Projen uses Conventional Commits to generate semantic versioning of the releases automatically. This means that based on the commit message format, it can create the release version automatically.

Initially, the project is released under version 0.0.0. Anything may change at any time and public APIs should not be considered stable. Commits marked as a breaking change will increase the minor version. All other commits will increase the patch version.

You need to manually promote the major version to 1 once your project is considered stable. For major versions 1 and above, if a release includes fix commits only, it will increase the patch version. If a release includes any feat commits, then the new version will be a minor version.

Commit Messages                     Release versions         

feat: <Message>                     1.0.X (Patch)            
fix: <Message>                      1.X.0 (Minor)            
BREAKING CHANGE: <Message>          X.0 (Major)              

API Documentation

One of the nice, out-of-the-box features that comes with Projen for AWS CDK constructs is the creation of API documentation for your constructs. By leveraging jsii-docgen, Projen’s build step will generate API documentation (API.md) from the comments in your code.

This feature is powerful for several reasons. Firstly, it ensures that documentation is kept up-to-date with the codebase, as the API documentation is generated directly from the source code comments. This reduces the risk of discrepancies between the code and its documentation, which can lead to misunderstandings and errors in usage.

Secondly, it streamlines the development process by automating a task that is often tedious and time-consuming. Developers can focus more on writing code and less on updating documentation manually.

Thirdly, it promotes better coding practices, as developers are encouraged to write clear and detailed comments in their code. This not only benefits the generation of documentation, but also helps any new developers who may work on the codebase in the future to understand the code more quickly and thoroughly.

Moreover, having readily available and accurate documentation can significantly enhance the developer experience. It makes it more straightforward for users of the CDK constructs to understand the functionality, parameters, return types, and the structure of the code they are working with.

In the context of team collaboration and open-source projects, this feature is especially beneficial. It ensures that anyone who contributes to the codebase is able to generate and view the latest documentation without any additional setup or configuration, facilitating smoother collaboration and integration processes.

Let’s recap all of the features that Projen can introduce into your project right out of the box:

  1. Projen’s automation for linting and testing to maintain high code quality from the beginning.
  2. Automated API documentation feature to keep your project’s documentation synchronized with the latest code changes.
  3. Polyglot capabilities to cater to a diverse development team, ensuring flexibility in language preference.
  4. The publisher module to streamline the release process across multiple package managers, saving time and reducing the scope for human error.
  5. A list of awesome projects developed with Projen for inspiration or use as a template.

Conclusion

As we wrap up our deep dive into some of the advanced features of Projen within AWS CDK, it’s clear that Projen helps alleviate a lot of the pain points of a new greenfield project. By leveraging Projen, developers can navigate the complexities of polyglot programming, automate the mundane tasks of publishing and documentation, and ensure consistent code quality through linting and testing. Projen elevates the development workflow to a level where efficiency and scalability are the norms, not the exception.

What’s more compelling is Projen’s commitment to developer empowerment. Through its automated systems, it encourages developers to adhere to best practices without the overhead of manual enforcement. Its ability to seamlessly integrate with various package managers and generate detailed API documentation from inline comments signifies a leap in developer tooling.

Contact an AWS Representative to know how we can help accelerate your business.

Further Reading

Alain Krok image

Alain Krok

Alain Krok is a Senior Solutions Architect with a passion for emerging technologies. His past experience includes designing and implementing IoT solutions for the oil and gas industry and working on robotics projects. He enjoys pushing the limits and indulging in extreme sports when he is not designing software.

Dinesh Sajwan profile

Dinesh Sajwan

Dinesh Sajwan is a Senior Solutions Architect. His passion for emerging technologies allows him to stay on the cutting edge and identify new ways to apply the latest advancements to solve even the most complex business problems. His diverse expertise and enthusiasm for both technology and adventure position him as a uniquely creative problem-solver.

Michael Tran profile

Michael Tran

Michael Tran is a Senior Solutions Architect with Prototyping Acceleration team at Amazon Web Services. He provides technical guidance and helps customers innovate by showing the art of the possible on AWS. He specializes in building prototypes in the AI/ML space.

Building PHP Lambda functions with Docker container images

Post Syndicated from Benjamin Smith original https://aws.amazon.com/blogs/compute/building-php-lambda-functions-with-docker-container-images/

At re:Invent 2020, AWS announced that you can package and deploy AWS Lambda functions as container images. Packaging AWS Lambda functions as container images brings some notable benefits for developers running custom runtimes, such as PHP. This blog post explains those benefits and shows how to use the new container image support for Lambda functions to build serverless PHP applications.

Overview

Many PHP developers are familiar with building applications as containers to create a portable artifact for easier deployment. Packaging applications as containers helps to maintain consistent PHP versions, package versions, and configurations settings across multiple environments.

The new container image support for Lambda allows you to use familiar container tooling to build your applications. It also allows you to transition your applications into a serverless event-driven model. This brings the benefits of having no infrastructure to manage, automated scalability and a pay-per-use billing.

The advantages of an event-driven model for PHP applications are explained across the blog series “The serverless LAMP stack”. It explores the concepts, methods, and reasons for creating serverless applications with PHP. The architectural patterns and service limits in this blog series apply to functions packaged using both container image and zip archive formats, with some key exceptions:

Zip archive Container image
Maximum package size 250 MB 10 GB
Lambda layers Supported Include in image
Lambda Extensions Supported Include in image

Custom runtimes with container images

For custom runtimes such as PHP, Lambda provides base images containing the required Amazon Linux or Amazon Linux 2 operating system. Extend this to include your own runtime by implementing the Lambda Runtime API in a bootstrap file.

Before container image support for Lambda, a custom runtime is packaged using the .zip format. This required the developer to:

  1. Set up an Amazon Linux environment compatible with the Lambda execution environment.
  2. Install compilation dependencies and compile a version of PHP.
  3. Save the compiled PHP binary together with a bootstrap file and package as a .zip.
  4. Publish the .zip as a runtime layer.
  5. Add the runtime layer to a Lambda function.

Any edits to the custom runtime such as new packages, PHP versions, modules, or dependences require the process to be repeated. This process can be time consuming and prone to error.

Creating a custom PHP runtime using the new container image support for Lambda can simplify changing the runtime environment. Dockerfiles allow you to have a fully scripted, faster, and portable build process without setting up an Amazon Linux environment.

This GitHub repository contains a custom PHP runtime for Lambda functions packaged as a container image. The following Dockerfile uses the base image for Amazon Linux provided by AWS. The instructions perform the following:

  • Install system-wide Linux packages (zip, curl, tar).
  • Download and compile PHP.
  • Download and install composer dependency manager and dependencies.
  • Move PHP binaries, bootstrap, and vendor dependencies into a directory that Lambda can read from.
  • Set the container entrypoint.
#Lambda base image Amazon Linux
FROM public.ecr.aws/lambda/provided as builder 
# Set desired PHP Version
ARG php_version="7.3.6"
RUN yum clean all && \
    yum install -y autoconf \
                bison \
                bzip2-devel \
                gcc \
                gcc-c++ \
                git \
                gzip \
                libcurl-devel \
                libxml2-devel \
                make \
                openssl-devel \
                tar \
                unzip \
                zip

# Download the PHP source, compile, and install both PHP and Composer
RUN curl -sL https://github.com/php/php-src/archive/php-${php_version}.tar.gz | tar -xvz && \
    cd php-src-php-${php_version} && \
    ./buildconf --force && \
    ./configure --prefix=/opt/php-7-bin/ --with-openssl --with-curl --with-zlib --without-pear --enable-bcmath --with-bz2 --enable-mbstring --with-mysqli && \
    make -j 5 && \
    make install && \
    /opt/php-7-bin/bin/php -v && \
    curl -sS https://getcomposer.org/installer | /opt/php-7-bin/bin/php -- --install-dir=/opt/php-7-bin/bin/ --filename=composer

# Prepare runtime files
# RUN mkdir -p /lambda-php-runtime/bin && \
    # cp /opt/php-7-bin/bin/php /lambda-php-runtime/bin/php
COPY runtime/bootstrap /lambda-php-runtime/
RUN chmod 0755 /lambda-php-runtime/bootstrap

# Install Guzzle, prepare vendor files
RUN mkdir /lambda-php-vendor && \
    cd /lambda-php-vendor && \
    /opt/php-7-bin/bin/php /opt/php-7-bin/bin/composer require guzzlehttp/guzzle

###### Create runtime image ######
FROM public.ecr.aws/lambda/provided as runtime
# Layer 1: PHP Binaries
COPY --from=builder /opt/php-7-bin /var/lang
# Layer 2: Runtime Interface Client
COPY --from=builder /lambda-php-runtime /var/runtime
# Layer 3: Vendor
COPY --from=builder /lambda-php-vendor/vendor /opt/vendor

COPY src/ /var/task/

CMD [ "index" ]

To deploy this Lambda function, follow the instructions in the GitHub repository.

All runtime-related instructions are saved in the Dockerfile, which makes the custom runtime simpler to manage, update, and test. You can add additional Linux packages by appending to the yum install command. To install alternative PHP versions, change the php_version argument. Import additional PHP modules by adding to the compile command.

View the complete application in the following file tree:

project/
┣ runtime/
┃ ┗ bootstrap
┣ src/
┃ ┗ index.php
┗ Dockerfile

The Lambda function code is stored in the src directory in a file named index.php. This contains the Lambda function handler “index()”.

A bootstrap file is in the ‘runtime’ directory. This uses the Lambda runtime API to communicate with the Lambda execution environment.

The shebang hash sequence at the beginning of the bootstrap script instructs Lambda to run the file with the PHP executable, set by the Dockerfile.

All environment variables used in the bootstrap are set by the Lambda execution environment when running in the AWS Cloud. When running locally, the Lambda Runtime Interface Emulator (RIE) sets these values.

#!/var/lang/bin/php

Testing locally with the Lambda RIE

Using container image support for Lambda makes it easier for PHP developers to test Lambda functions locally. The previous container image example builds from the Lambda base image provided by AWS. This base image contains the Lambda RIE.

This is a proxy for Lambda’s Runtime and Extensions APIs. It acts as a lightweight web server that converts HTTP requests to JSON events and maintains functional parity with the Lambda Runtime API in the AWS Cloud. This allows developers to test functions locally using familiar tools such as cURL and the Docker CLI.

  1. Build the previous custom runtime image using the Docker build command:
    docker build -t phpmyfuntion .
  2. Run the function locally using the Docker run command, bound to port 9000:
    docker run -p 9000:8080 phpmyfuntion:latest
  3. This command starts up a local endpoint at:
    localhost:9000/2015-03-31/functions/function/invocations
  4. Post an event to this endpoint using a curl command. The Lambda function payload is provided by using the -d flag. This is a valid Json object required by the Runtime Interface Emulator:
    curl "http://localhost:9000/2015-03-31/functions/function/invocations" -d '{"queryStringParameters": {"name":"Ben"}}'
  5. A 200 status response is returned:

Building web applications with Bref container images

Bref is an open source runtime Lambda layer for PHP. Using the bref-fpm layer, you can build applications with traditional PHP frameworks such as Symfony and Laravel. Bref’s implementation of the FastCGI protocol returns an HTTP response instead of a JSON response. When using the zip archive format to package Lambda functions, Bref’s custom runtime is provided to the function as a Lambda layer. Functions packaged as container images do not support adding Lambda layers to the function configuration. In addition to runtime layers, Bref also provides a number of Docker images. These images use the Lambda runtime API to form a runtime interface client that communicates with the Lambda execution environment.

The following example shows how to compose a Dockerfile that uses the bref php-74-fpm container image:

# Uses PHP 74-fpm.0, as the base image
FROM bref/php-74-fpm
# download composer for dependency management
RUN curl -s https://getcomposer.org/installer | php
# install bref using composer
RUN php composer.phar require bref/bref
# copy the project files into a Location that the Lambda service can read from
COPY . /var/task
#set the function handler entry point
CMD _HANDLER=index.php /opt/bootstrap
  1. The first line sets the base image to use bref/php-74-fpm.
  2. Composer, a dependency manager for PHP is installed.
  3. Composer’s require command is used to add the bref package to the composer.json file.
  4. The project files are then copied into the /var/task directory, where the function code runs from.
  5. The function handler is set along with Bref’s bootstrap file.

The steps to build and deploy this image to the Amazon Elastic Container Registry are the same for any runtime, and explained in this announcement blog post.

Conclusion

The new container image support for Lambda functions allows developers to package Lambda functions of up to 10 GB in size. Using the container image format and a Dockerfile can make it easier to build and update functions with custom runtimes such as PHP.

Developers can include specific language versions, modules, and package dependencies. The Amazon Linux and Amazon Linux 2 base images give developers a starting point to customize the runtime. With the Lambda Runtime Interface Emulator, it’s simpler for developers to test Lambda functions locally. PHP developers can use existing third-party images, such as bref-fpm, to create web applications in a single Lambda function.

Visit serverlessland.com for more information on building serverless PHP applications.

The serverless LAMP stack part 6: From MVC to serverless microservices

Post Syndicated from Benjamin Smith original https://aws.amazon.com/blogs/compute/the-serverless-lamp-stack-part-6-from-mvc-to-serverless-microservices/

In this post, you learn how to build serverless PHP applications using microservices.

I show how to move from using a single Lambda function as scalable web host with an MVC framework, to a decoupled microservice model. The accompanying code examples for this blog post can be found in this GitHub repository.

The MVC architectural pattern

A traditional LAMP stack often implements the Model-View-Controller (MVC) architecture. This is a well-established way of separating application logic into three parts: the model, the view, and the controller.

  • Model: This part is responsible for managing the data of the application. Its role is to retrieve raw information from the database or receive user input from the controller.
  • View: This component focuses on the display. Data received from the model is presented to the user. Any response from the user is also recognized and sent to the controller component.
  • Controller: This part is responsible for the application logic. It responds to the user input and performs interactions on the data model objects.

The MVC principal of decoupling data, logic, and presentation layers means that changes in one layer have minimal impact on the others. This speeds the development process and makes it easier to update layouts, change business rules, and add new features. Components are more adaptable for reuse and refactoring, and allow for a degree of simultaneous development.

The serverless LAMP stack

The serverless LAMP stack

The preceding serverless LAMP stack architecture is first discussed in this post. A web application is split in to two components. A single AWS Lambda function contains the application’s MVC framework. Each response is synchronously returned via Amazon API Gateway. This architecture addresses the scalability challenge that is often seen in traditional LAMP stack applications. It scales automatically with a managed infrastructure and a pay-per-use billing model. However, the serverless paradigm makes it possible to apply the MVC principles of decoupling and reusability to an even greater degree.

The “Lambda-lith”

The preceding architecture represents a serverless monolith or “Lambda-lith”. A single Lambda function contains the entire business logic within an MVC framework. This implementation can be used to “lift and shift” from a legacy MVC to a serverless application. Simple applications often start this way too, but as the application grows more complex over time new challenges can occur.

 

day1-day100

Lambda Day 1 to day 100

A Lambda-lith is often maintained in a single repository that contains the entire application logic. This is sometimes referred to as a mono-repo.

Lamba-lith monorepo

Lamba-lith monorepo

A mono-repo makes it harder to separate responsibility of ownership between development teams. Consequently, projects in a mono-repo are prone to depend on each other, creating tight coupling. The tightly coupled code base with all of its interconnected modules be challenging to maintain a regular release cadence. Any small fix can require updates to other parts of the code base, making maintenance challenging without fracturing the whole application. Onboarding can be slow as new developers take time to learn and understand the code base and all of the interdependencies.

By applying the following principles, Lambda-lith MVC applications can be refactored into decoupled serverless microservices.

Divide into independent Lambda functions with finite business logic

The following example illustrates a Lambda-lith with all business and routing logic stored in a single Lambda function. Every request is routed to this function from API Gateway. The function code base contains a `router.php` file to direct requests to the correct model, view, or controller.

This is similar to a traditional LAMP stack implementation in which a web server such as Apache or NGINX routes all requests to a single index.php function. However, it’s often more practical to split applications into multiple functions or services.

Lambda as a web server

In the following example, this Lambda function is split into multiple functions based on each CRUD operation. The internal routing logic is now decoupled from the business logic. The API Gateway service uses rules to route requests to the correct Lambda function. This allows each function to scale independently and updates can be made to one function without impacting another.

Routing decoupled from business logic

Build micro-perimeters to enforce strict verification of every person or service.

Traditional MVC applications often use a castle-and-moat security model. This provides security by placing a perimeter around the entire application to protect it from malicious actors. This perimeter guards the application or network by verifying requests and user identities at the point of entry or exit.

This is typically achieved with firewalls, proxy servers, honeypots, and other intrusion prevention tools. It assumes that activity inside the perimeter is safe. However, a network vulnerability may provide access to everything inside.

Microservice-based applications allow developers to apply a “zero trust” security model. This enables developers to build micro-perimeters around each resource. This is sometimes referred to as the principle of least privilege. It ensures that each request, service, or user can access only the data or resource that is necessary for its legitimate purpose. Even with a vulnerability, the blast radius is limited only to the service within that micro-perimeter.

Castle-and-moat vs zero trust security model

Use AWS Identity and Access Management (IAM) resource policies and execution roles to decouple business logic from security posture. Lambda resource policies define the events and services that are authorized to invoke the function. Lambda execution roles place constraints the resource or service the Lambda function has access to. When defining resource policies and execution roles, start with a minimum set of permissions and grant additional permissions as necessary.

Create building blocks based on common functionality

Each component is a single building block that makes up an application together with other blocks. These blocks form microservices that deliver a set of capabilities on a specific domain. This makes is easy to change, upgrade, and replace with no impact on the remaining microservice components. This creates natural ownership boundaries to help organize repositories.

Development teams can then easily be assigned ownership to individual microservice repositories. Use the AWS Serverless Application Model (AWS SAM) to organize microservices into multiple code repositories, as explained in this blog post.

Use messages to connect and communicate between microservices.

In traditional MVC applications, one part of the application uses method calls to communicate with the other parts. With serverless microservices, the code base is spread across short-lived stateless functions and services. Communication between these services is achieved using asynchronous messages or synchronous HTTP requests.

Synchronous communication

In this method, a service calls an API and waits for a response from the receiving service before proceeding. Use API Gateway to create a front door to your backend microservices. API Gateway is a fully managed service for creating and managing RESTful and WebSocket APIs.

Using API Gateway to transport data addresses common concerns such as authorization, API tokens, access control and rate limiting from your code, and helps to reduce code complexity. API Gateway can also be used for synchronous internal microservice communications where the services have clear separation, strict authentication requirements, or have been deployed across accounts.

The following architecture demonstrates an application that is deployed across two accounts. The Booking microservice, invokes a loyalty booking function via API Gateway that exists in the Loyalty points account.

Synchronous internal microservice communications

Asynchronous communication

In this pattern, a service sends a message without waiting for a response, and one or more services process the message asynchronously. Here, the services involved do not directly communicate with each other. Instead, services publish messages to a broker such as Amazon Simple Queue Service (SQS) or Amazon EventBridge. Other services can choose to subscribe to the topic in the broker that they care about. This enables further decoupling of business logic from data transportation and reduces your code complexity.

Use services instead of code, where possible

A service-first mindset is an important part of serverless application development. Each line of code you write may limit your project’s responsiveness to change and adds cognitive overhead for new developers. Using an appropriate AWS service for each domain (messaging, storage, orchestration) helps to build faster. Embracing this mind-set allows developers to focus on solving those unique challenges that add the most value to their customers.

By applying these principles to refactor an MVC Lambda-lith, I build the following CRUD API microservice. This application can be deployed from this GitHub repository. It uses an AWS Serverless Application Model (AWS SAM) template to define an HTTP API, 5 Lambda functions, an Amazon DynamoDB table and all the IAM roles required.

All routing logic and authentication is managed by Amazon API Gateway. Each Lambda function has limited scope and minimal business logic. It uses a lightweight custom-built PHP runtime, explained in this post. Each Lambda function uses the AWS PHP SDK to interact with the DynamoDB table. This architecture is suitable as a serverless microservice for a website backend.

A serverless API microservice with PHP

Conclusion

In this post, I show how to move from using a single Lambda function as a scalable web host with an MVC framework, to a decoupled microservice model. I explain the principles that can be applied to help transition an MCV application into a collection of microservices and show the benefits of doing so. I provide code examples for a serverless PHP CRUD microservice with a deployable AWS SAM template.

PHP development teams can transition from Lambda-lith MVC applications to a decoupled microservice model. This allows them to focus on shipping code to delight their customers without managing infrastructure.

Find more resources for building serverless PHP applications at ServerlessLand.com.