Building a Scalable Serverless Microservice REST Data API [Video]

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Building a Scalable Serverless Microservice REST Data API [Video]

Richard T. Freeman, PhD

Practical solutions to building Serverless applications
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Video Details

ISBN 139781788622318
Course Length2 hours and 46 minutes

Video Description

In the past few years, there has been a shift away from monolithic architecture (with for example its large centralized deployments) to microservice architectures with small independent deployments, allowing much more flexibility and agile delivery. Traditionally virtual machines and containers were the main options for deploying microservices but they involve a lot of operational effort, configuration, and maintenance. More recently, there has been a growing interest in Serverless computing due to the increase in developer productivity, built in auto-scaling abilities, and reduced operational costs. In combining both microservices and serverless computing, organizations will benefit from having the servers and capacity planning managed by the cloud provider, making them much easier to deploy and run at scale.

In this course we show you how to build an end-to-end serverless application for your organization. We have selected a data API use case that could reduce costs and give you more flexibility in how you and your clients consume or present your application, metrics and insight data. We make use of the latest serverless deployment and build framework, share our experience on testing, and provide best practices for running a serverless stack in a production environment.

Style and Approach

This video tutorial adopts a recipe-based approach to teaching you the skills required to develop end-to-end serverless microservices for developers, DevOps, and architects. We have chosen a particular use case—creating a serverless data REST API—but the steps remain similar for other use cases. This use case was chosen, as traditionally it would have required an always-on fleet of machines or containers, which would have had to sit behind a load balancer and scale up and down depending on the number of requests. That approach is costly, and required complex configuration and on-going management. In this course, we will show you how you can overcome those limitations and quickly build a fully functional system using serverless microservices.

Table of Contents

Overview of Monolithic and Microservice Architectures
The Course Overview
Monolithic and Microservice Architectures
AWS Building Blocks for Creating Serverless Microservices
Virtual Machines, Containers, and Serverless Computing
Serverless Computing in AWS
Setting Up Your Serverless Environment in AWS
Securing Your Microservice
Overview of Security in AWS
Overview of AWS Identity and Access Management (IAM)
Securing Your Serverless Microservice
Creating Your First Serverless Microservice
Building a Serverless Microservice Data API
Setting Up a Lambda in the AWS Management Console
Setting Up the API Gateway and Integrating It with a Lambda Proxy
Creating and Writing to a NoSQL Database Called DynamoDB
Creating a Lambda to Query DynamoDB
Connecting API Gateway, Lambda, and DynamoDB
Testing Your Serverless Microservice
Unit Testing Your Python Lambda Code
Running and Debugging Your AWS Lambda Code Locally
Integration Testing Using Real Test Data
Performance and End-to-End Testing at Scale
Building and Deploying Your Serverless Stack
Overview of Serverless Stack Build and Deploy Options
Creating an S3 Bucket, IAM Policies, and IAM Roles Resources
Building and Deploying API Gateway, Lambda, and DynamoDB
Conclusion
Building a Scalable Serverless Microservice Data API Conclusions
Next Course

What You Will Learn

  • Understand how microservices compares with existing architectures
  • Understand how to create a serverless application in AWS
  • Learn how to secure access to data and resources 
  • Run tests on your configuration and code
  • Create a highly available serverless microservice data API
  • Build, deploy and run your serverless configuration and code

Authors

Table of Contents

Overview of Monolithic and Microservice Architectures
The Course Overview
Monolithic and Microservice Architectures
AWS Building Blocks for Creating Serverless Microservices
Virtual Machines, Containers, and Serverless Computing
Serverless Computing in AWS
Setting Up Your Serverless Environment in AWS
Securing Your Microservice
Overview of Security in AWS
Overview of AWS Identity and Access Management (IAM)
Securing Your Serverless Microservice
Creating Your First Serverless Microservice
Building a Serverless Microservice Data API
Setting Up a Lambda in the AWS Management Console
Setting Up the API Gateway and Integrating It with a Lambda Proxy
Creating and Writing to a NoSQL Database Called DynamoDB
Creating a Lambda to Query DynamoDB
Connecting API Gateway, Lambda, and DynamoDB
Testing Your Serverless Microservice
Unit Testing Your Python Lambda Code
Running and Debugging Your AWS Lambda Code Locally
Integration Testing Using Real Test Data
Performance and End-to-End Testing at Scale
Building and Deploying Your Serverless Stack
Overview of Serverless Stack Build and Deploy Options
Creating an S3 Bucket, IAM Policies, and IAM Roles Resources
Building and Deploying API Gateway, Lambda, and DynamoDB
Conclusion
Building a Scalable Serverless Microservice Data API Conclusions
Next Course

Video Details

ISBN 139781788622318
Course Length2 hours and 46 minutes
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