Building a Scalable Serverless Microservice REST Data API
Video description
Practical solutions to building Serverless applications
About This Video
Create a system where the infrastructure, scalability, and security are managed by AWS
Reduce your support, maintenance, and infrastructure costs
Speed up your development process through rapid iterations
In Detail
In the past few years, there has been a shift away from monolithic architecture (with for example its large centralized deployments) to …
Building a Scalable Serverless Microservice REST Data API
Video description
Practical solutions to building Serverless applications
About This Video
Create a system where the infrastructure, scalability, and security are managed by AWS
Reduce your support, maintenance, and infrastructure costs
Speed up your development process through rapid iterations
In Detail
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.
Audience
This video is for developers who need practical solutions to common problems while building their serverless application. Programming knowledge is assumed.
Chapter 1 : Overview of Monolithic and Microservice Architectures
The Course Overview
Monolithic and Microservice Architectures
Chapter 2 : AWS Building Blocks for Creating Serverless Microservices
Virtual Machines, Containers, and Serverless Computing
Serverless Computing in AWS
Setting Up Your Serverless Environment in AWS
Chapter 3 : Securing Your Microservice
Overview of Security in AWS
Overview of AWS Identity and Access Management (IAM)
Securing Your Serverless Microservice
Chapter 4 : 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
Chapter 5 : 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
Chapter 6 : 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
Chapter 7 : Conclusion
Building a Scalable Serverless Microservice Data API Conclusions
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