AWS Serverless Microservices with Patterns & Best Practices

This course comes from alive GitHub aws-microservices repository which verified from community with250+ stars and 100+ forks.

In this course, we will learn AWS Event-driven Serverless Microservices with using

• AWS Lambda,

• AWS DynamoDB,

• AWS API Gateway,

• AWS EventBridge,

• AWS SQSwhich stands for Simple Queue Service,

• AWS CDKstands for Cloud Development Kit for IaC – Infrastructure as Code tool and

• AWS CloudWatchfor monitoring.

This course will be 100% hands-on, and you will be developing a real-world applicationwhich includes;

• REST API and CRUD endpointswith using (AWS Lambda, API Gateway)

• Data persistence with using (AWS DynamoDB)

• Decouple microserviceswith events using (AWS EventBridge)

• Message Queuesfor cross-service communication using (AWS SQS)

• Cloud stack development with IaCusing (AWS CloudFormation CDK)

By the end of the course, you will learn how to develop reliable and scalable Serverless applications, following the microservices architecture. We will develop event-driven microservices with AWS Serverless services which comes with power of cloud high availability and high scalability by nature. Of course we will follow the Serverless Design Patterns and Best Practices when developing our e-commerce event-driven microservices application.

There is a couple of microservices which implemented e-commerce modules over Product, Basketand Ordering microservices. We will use AWS Lambdaservice as a microservicesand use power of lambda functions. And this microservices databases will store NoSQL AWS DynamoDB databases.

And also we have followed communication patternsand best practiceswhen designing Serverless microservice communications for synchronousand asynchronouscommunications with using AWS API Gateway, AWS EventBridge as a Eventbusand AWS SQS as a queueservice. That means we design our architecture rely on asynchronousconnections that gives us much more flexible and resilient application.

We will use

• AWS API Gateway -for- Restful API–Driven Developmentand Synchronous Event Sources

• AWS EventBridge -for- Event–Driven asynchronous Communicationbetween Microservices

• AWS SQS-for- Decouple Microservicesand processing events asynchronously using queues

The course proposes a microservice oriented architectureimplementation with AWS Serverlessworld using event-driven patternsand best practices. So the project will be the e-commerce application that will be totally Serverless components.

Let me try to introduce Serverless components one by one;

Api Gateway

• This is entry point of our microservices.

• API Gateway provides Restful API-Driven Development and Synchronous Event Sources.

• Synchronous commands are request/response.

• API Gateway is a synchronousevent source and provides a Serverless API proxy to AWS Lambda.

• API Gateway Redirects to CRUD request to internal microservices.

Product Lambda microserviceswhich performs;

• CRUD operations using DynamoDB tableover the AWS API Gateway

• This will cover product table operations fully Serverless in microservices architecture.

• Synchronousrequests will manage by AWS API Gateway and routing requests to ProductLambda Microservicesthat perform CRUD operations.

• We will write Lambda functions with using AWS SDK for interactingother AWS resources for example in Product case we will interact with AWS Serverless DynamoDB to perform all crud operations.

Basket Lambda microserviceswhich performs;

• Add-Remove synchronous basket operations with using AWS API Gateway and DynamoDB

• Again synchronous requests will manage by AWS API Gatewayand routing requests to Basket Lambda Microservices that perform CRUD operations.

• We will write Lambda functions with using AWS SDK for interacting other AWS resources. For example in Basket case we interact with AWS Serverless DynamoDB to perform all crud operations.

But also,

• Basket microservice triggersto Event-driven use case which is the Checkout Basket.

• When checkout basket, this will publishand create eventto Serverless Eventbus which is AWS EventBridge.

• So this asynchronouscommunication will held by Basket Lambda Microservice and AWS EventBridgeand consumed by Ordering microservices over the AWS SQS.

AWS Event Bridge

So asynchronouscommunication held by AWS Serverless Eventbusservice which is AWS EventBridge.

We will create Rulesand Targetdefinitions for AWS EventBridge from Basket Lambda microservices.

That means we will develop Basket Lambda Microservices when publishing checkout messageto AWS EventBridgewith using AWS SDKfor development purpose.

AWS SQS and Ordering Lambda microservices

So after publishing checkout eventto the EventBridge, this event will consumeby Ordering part.

EventBridgesend to event to AWS SQSin order to gain power of AWS queue.

After that Ordering lambda microservice will consumethis event with polling.

That means we will use event source mapping communication type here when consuming events, ordering lambda microservices send polling requestand get event from the AWS queue.

After consuming the event from the AWS queue, Ordering lambda microservices processthe event with creating orderrecord into its DynamoDBtable.

Ordering lambda microservices perform all these operations with developing lambda functions with using AWS SDK.

We have 3 communication types;

1. Synchronouscommunication with AWS API Gateway for routing request from client applications to downstream microservices

2. Asynchronouscommunication with AWS Serverless Eventbuswhich is EventBridgefor applying Event Driven asynchronous Communication patterns.

3. And lastly we have Event Source mappingcommunication when polling queuerecords from lambda services to AWS SQS-Simple Queue Service for Decouple Microserviceand processing events asynchronously.

During the course we will follow these Microservice communication types with Lambda invocations, and develop our sections following these arrows.

IaC Serverless Stacks with AWS CDK – Cloud Development Kit

• Will follow Devopsbest practices when coding infrastructure. The whole project, we will develop infrastructure as code Serverless Stacks with using AWS CDK – Cloud Development Kit.

• We will use AWS CDK for IaC Serverless Stacksdevelopments that we will develop and provision all services step by step with together.

AWS Developer and AWS Solution Architecture Jobs

This course preparesto you real AWS Developerand AWS Solution Architecture jobs, which’s offers to you 3 figure salaries.

Because we are going to develop a real-world Serverless application which is already used and developed by lots of companies in the world.

Prepare your AWS Certification with Practical Way

• AWS Certified Developer Associate

• AWS Certified Solutions Architect Associate

Don’t memorize all topics, feel and develop by hands-on, dirty your hands by this way you can achieve to onboard your target AWS jobs. This course will help you to prepare AWS Developer and Solutions Architect Associate certifications both theoretical and mostly practical way with developing Serverless e-commerce applications.

AWS Serverless + CDK Automation + Integration Patterns = AWSome!

This will be the manifestoof our course. We will follow these manifesto every place of our course and the Serverless e-commerce application.

Integration Patternsthat we will follow Queue-chaning, Publish-Subscribe and Fan-out design patternsduring the course when developing our serverless e-commerce application.

By the end of this course, you’ll learn how to design and developing AWS Event-driven microserviceswith using Serverless patternsand best practices.

This course will be 100% hands-on, and we will be develop all infrastructure and microservice codes with together and step by step.

Rating Distribution

• 1 stars: 12 votes
• 2 stars: 18 votes
• 3 stars: 52 votes
• 4 stars: 107 votes
• 5 stars: 248 votes

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