Building a Scalable Serverless Microservice REST Data API - learn Software Engineering

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Building a Scalable Serverless Microservice REST Data API - learn Software Engineering
Best Software Engineering Course
Practical solutions to building Serverless applications
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
Programming knowledge is assumed.,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.\nIn 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.,About the Author,Richard T. Freeman, Ph.D. currently works for JustGiving, a tech-for-good company and the world’s most trusted social platform for online giving that’s helped 22 million users in 164 countries raise $4.5 billion for over 27,000 good causes. He is also offering short-term freelance cloud architecture & machine learning consultancy.\nHe is a highly accomplished results-driven hands-on certified AWS Solutions Architect, Data Engineer and Data Scientist with proven success in delivering cloud-based big data analytics, unstructured data, high-volume, and scalable solutions. At Capgemini, he worked on large and complex projects for Fortune Global 500 companies and has experience in extremely diverse, challenging and multi-cultural business environments. Richard has a solid background in computer science and holds a Master of Engineering (MEng) in computer systems engineering and a Doctorate (Ph.D.) in machine learning, artificial intelligence and natural language processing.\nHe has worked in charity, insurance, retail banking, recruitment, financial services, financial regulators, central government and e-commerce sectors, where he:,This video is for developers who need practical solutions to common problems while building their serverless application.,This video is for developers who need practical solutions to common problems while building their serverless application.