Building a Scalable Serverless Microservice REST Data API [Video]
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.
|Course Length||2 hours 46 minutes|
|Date Of Publication||28 Feb 2018|