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所在平台: Udemy |
课程主页: https://www.udemy.com/course/aws-serverless-app-development-using-api-gateway-2-in-1/
课程评论:没有评论
课程名称:AWS中的无服务器应用开发与API网关:二合一 概述:随着开发者生产力的提高、内置自动扩展功能以及运营成本的降低,无服务器计算正在逐渐受到关注。通过将微服务和无服务器计算结合,组织可以受益于云服务提供商管理服务器和容量规划,从而更轻松地在规模上进行部署和运行。本课程是一个全面的二合一指南,教授如何使用API网关以及将其融入无服务器生态系统中。学员将创建一个由AWS管理基础设施、可扩展性和安全性的系统,降低支持、维护和基础设施成本。课程还将探索AWS服务的强大无服务器生态系统,包括DynamoDB、API网关等内容。 课程内容:本培训项目包括两个完整的课程,旨在提供最全面的培训。第一门课程《构建可扩展的无服务器微服务REST数据API》涵盖了构建无服务器应用的实用解决方案。该课程将教授学员如何为组织构建端到端的无服务器应用,运用最新的无服务器部署和构建框架,分享测试经验,并提供在生产环境中运行无服务器堆栈的最佳实践。第二门课程《深度探索API网关及构建无服务器应用》专注于利用API网关构建应用。学员将学习API网关的开发和部署,并了解如何安全地保护API网关,结合AWS Lambda进行整合。课程结束时,学员将能够使用API网关服务构建安全、具有成本效益和可扩展的无服务器数据API。 作者简介: Richard T. Freeman博士,目前在JustGiving工作,专注于技术向善的在线捐赠平台,并且在云架构和机器学习咨询方面提供短期自由职业服务。他是一位出色的AWS解决方案架构师、数据工程师和数据科学家,拥有提供云端大数据分析的丰富经验。Alan Rodrigues是一位拥有超过10年软件行业经验的软件技术推广者,擅长最新技术,包括AWS和Azure等云服务。 总之,本课程为希望进入无服务器应用开发领域的学习者提供了一个全面和实用的学习路径。
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. This comprehensive 2-in-1 course is a comprehensive and all-inclusive guide to using the API gateway and incorporating it in your Serverless ecosystem. Create a system where the infrastructure, scalability, and security are managed by AWS. Reduce your support, maintenance, and infrastructure costs. Also explore the power of the Serverless ecosystem with AWS services including DynamoDB, API Gateway, and much more! Contents and Overview This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Building a Scalable Serverless Microservice REST Data API, covers practical solutions to building Serverless applications. This course will teach 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. You'll make use of the latest Serverless deployment and build framework, share your experience on testing, and provide best practices for running a Serverless stack in a production environment. The second course, Deep Dive into API Gateway and Building a Serverless Application, covers building applications using the API Gateway. In this course you'll focus on the next component of AWS that offers Serverless computing-the API gateway service. You'll learn how to develop the various parts of the API gateway. Then you'll look into deploying the API gateway. You'll also learn to secure the API gateway. You'll integrate AWS Lambda and the API gateway. By the end of the course, you'll be able to build secure, cost-effective, and scalable Serverless data API, using the API Gateway service with AWS. About the Authors 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. He 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. He has worked in charity, insurance, retail banking, recruitment, financial services, financial regulators, central government and e-commerce sectors, where he: - Provided design, architecture and technical consulting on client site for complex event processing, business intelligence, enterprise content management, and business process management solutions. - Delivered in-house production cloud-based big data solutions for large-scale graph, machine learning, natural language processing, cloud data warehousing, ETL data pipeline, recommendation engines, and real-time streaming analytics systems. - Worked closely with IBM and AWS and presented at industry events and summits - Published research articles in numerous journals, presented at conferences and acted as a peer-reviewer - Has over three years of production experience with Serverless computing on AWSAlan Rodrigues is a software technology evangelist with over 10+ years in the software industry. Being abreast with the latest technologies is what he does best. One life is just not enough to intake all the information the world has to offer, but he does his bit and takes it one step at a time. These are just a few of the technologies he is well-versed in: - Cloud Services - Amazon Web Services. Certified in AWS as a SysOps Administrator. Well-versed in Azure Web Services as well. - Business Intelligence - SAP Business Objects, Informatica Powercenter. - Atlassian suite of products (JIRA, JIRA Agile, JIRA service desk, Confluence, Bitbucket, Hipchat) - Configuration, Continuous Integration - Subversion, Git, Jenkins, Atlassian Bamboo. - Operating Systems - Windows server 2003, 2008 & 2012, Windows 7, 10, Ubuntu, CentOS. - Databases - Oracle, MySQL, MongoDB, Microsoft SQL Server. - Change and Release Management - HPSM, HP uCMDB, Atlassian Service Desk.