$200 | Duration: 1.5h| Video: h264, 1920×1080 | Audio: AAC, 48kHz, 2 Ch | 2.6 GBGenre: eLearning | Language: English | January 15, 2019Microservices is fast becoming the preferred approach for application development.
In this course, you’ll start with the basics and progress on to the advanced topics.
You’ll begin by working through a single function and work towards integration with other Azure services, such as App Insights and Cosmos DB.
You’ll also learn to handle common user requirements, such as analytics and the high-performing distributed storage.
Last, but not the least, you’ll also be provided the context that you need to get started on a larger project.
Video DescriptionMicroservices is fast becoming the preferred approach for application development.
In this course, you’ll start with the basics and progress on to the advanced topics.
You’ll begin by working through a single function and work towards integration with other Azure services, such as App Insights and Cosmos DB.
You’ll also learn to handle common user requirements, such as analytics and the high-performing distributed storage.
Last, but not the least, you’ll also be provided the context that you need to get started on a larger project.
Table of ContentsINTRODUCTION TO AZURE FUNCTIONSDEPLOYING AZURE SERVERLESSARCHITECTING SERVERLESS SOLUTIONSWhat You Will LearnAnalyze the advantages and disadvantages of serverless developmentBuild a fully-functioning serverless application with Azure servicesDefine what serverless computing is and its technical basisCreate, deploy, and manage your own Azure Functions in the cloudArchitect greenfield serverless applicationsIntegrate Azure Functions with legacy applicationsInterpret design principles for effective serverless codeAuthorsDaniel BassDaniel Bass is a developer with a major financial services firm that is moving to Azure.
He is a key member of the team that is creating the first major greenfield projects purely on Azure in the company, utilizing a combination of serverless functions, web apps and data lake analytics.
He has designed solutions from scratch for ingesting complex information from legacy data sources using serverless functions, processing it using data lake analytics and reforming it using serverless functions.
He is actively developing serverless solutions in a team that designs it’s own releases, so he is completely familiar with both the release tooling and development tooling.
Daniel also has several years experience as a tutor of GCSE and A-Level students, producing quality education support for students across a broad spectrum of age and ability.
He enjoys teaching and sharing knowledge with others.
His own educational background includes a 1st Class Honours in Physics MSci from University College London.
