AWS Networking Masterclass: A Complete Guide: 4-in-1

所在平台: Udemy

课程主页: https://www.udemy.com/course/aws-networking-masterclass-a-complete-guide-4-in-1/

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课程名称:AWS网络精英课程:完整指南:4合1 课程概述:亚马逊网络服务(AWS)在公共云市场中的主导地位毋庸置疑,并继续成为许多组织的首选。网络技术是各大云服务提供商关注的重点领域。AWS提供一系列网络相关产品,帮助高效执行云上的网络任务。亚马逊虚拟私人云(Amazon VPC)使用户能够将其AWS资源启动到用户定义的虚拟网络中,这种虚拟网络类似于用户自己数据中心中的传统网络,同时享有AWS可扩展基础设施的优势。本综合性的4合1课程是一步一步的实用指南,帮助用户有效利用AWS提供的所有网络服务。课程涵盖了使用Amazon VPC、弹性负载均衡、Direct Connect和其他AWS产品的实际操作经验,并提供分析云应用的成本影响和安全性足迹的真实案例。学员还将掌握故障排除技能以及AWS网络的安全最佳实践。 课程内容和概述: 该培训项目包含4个完整课程,旨在提供最全面的培训体验。第一个课程《实用AWS网络》介绍使用TFS和Git交付高质量代码的指南,深入学习Git版本控制,同时使用AWS VPC创建一个隔离的虚拟云以执行网络相关任务。课程后半部分将概述AWS Direct Connect并深入探讨弹性负载均衡、自动扩展功能及Amazon Route S3的可扩展性。课程结束时,学员将掌握网络安全的最佳实践。 第二个课程《AWS网络解决方案》专注于改善项目工作流与分布式版本控制,学习如何配置VPC并为不同用例创建子网。该课程旨在帮助中级用户掌握更好的AWS网络示例,并提供多个Windows环境下的实例。 第三个课程《AWS上的网络与安全最佳实践》介绍如何利用Git进行代码版本管理及工作流控制。课程将指导如何从架构/开发过程的开始确保应用程序的安全,主要技术包括身份访问管理(IAM)和虚拟私人云(VPC),两者结合为在云中创建安全的虚拟数据中心提供必要能力。 第四个课程《为AWS架构:最佳实践、模式与故障排除》深入探讨Git的版本管理和工作流控制,提供最佳实践和常见问题的解决方案。学员将学习如何分析云应用的成本影响及安全足迹,并通过实际案例获得深刻理解。 作者介绍:本课程由Mitesh Soni和Tomasz Lelek主讲,二位讲师在DevOps、软件开发和云计算等领域具有丰富经验。课程的咨询公司Colibri成立于2015年,旨在帮助客户应对快速变化的技术世界,提供大数据、机器学习和云计算等领域的专业咨询。 结束时,学员将获得在AWS上架构和保护应用程序的最佳实践的详细理解。

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Amazon Web Services (AWS) dominates the public cloud market by a huge margin and continues to be the first choice for many organizations. Networking has been an area of focus for all the leading cloud service providers. AWS has a suite of network-related products which help in performing network related task on AWS. Amazon Virtual Private Cloud (Amazon VPC) enables you to launch Amazon Web Services resources into a virtual network that you've defined. This virtual network resembles a traditional network that you'd operate in your own data center, with the benefits of using the scalable infrastructure of AWS. This comprehensive 4-in-1 course is a step by step practical guide that helps you use all networking services available in AWS effectively. Gain hands-on experience of using Amazon VPC, Elastic Load Balancing, Direct Connect and other AWS products. Practical real-life examples for analyzing the cost impact and security footprint of cloud applications. Implement troubleshooting skills and best practices for security on AWS network. Contents and Overview This training program includes 4 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Practical AWS Networking, covers guidelines to deliver great code using TFS and Git. Dive into version control using Git. Use AWS VPC to create an isolated virtual cloud for performing network-related tasks. Get an an overview of AWS Direct Connect after taking a deep dive into scalability and load balancing using the auto scaling feature, Elastic Load Balancing, and Amazon Route S3. Toward the end of this course, you'll learn security best practices for your network. By the end of this video course, you'll have hands-on experience of working with network tasks on AWS. The second course, AWS Networking Solutions, covers better project workflows with Distributed Version Control. Learn how to configure a VPC and create subnets for different use cases. This course introduces the basics of AWS networking; our main goal is to reach intermediate users who are looking for better AWS networking examples. The course supplies multiple Microsoft Windows examples because most AWS literature is Linux-focused. The video course includes a series of tutorials to help users become fluent in a variety of networking aspects for Amazon Web Services' public cloud offering. The third course, Networking and Security Best Practices on AWS, covers mastering versioning and managing your code with Git by controlling its workflow and using it for your projects. This course will show you how to get started with the fundamental technologies required to secure your applications from the beginning of the architecture/development process: Identity Access Management (IAM) and Virtual Private Clouds (VPCs). Combined, these two technologies give you the essential capability you will need to create a secure and isolated virtual datacenter in the cloud, complete with fine-grained user access controls and activity monitoring. The fourth course, Architecting for AWS: Best Practices, Patterns and Troubleshooting, covers mastering versioning and managing your code with Git by controlling its workflow and using it for your projects. This course is full of examples and will give you a detailed understanding of the best practices to follow when architecting and securing your applications for running on AWS. You see some secret hints and tips on common problem areas you may encounter. Amazon provides a range of tools for analyzing the cost impact and security footprint of cloud applications, all of which we will explore with practical, real-life examples. By the end of the course, you'll gain a detailed understanding of best practices for architecting and securing your applications while running on AWS. About the Authors Mitesh Soni is a DevOps enthusiast. He has worked on projects for DevOps enablement using Microsoft Azure and VSTS. He also has experience in working with other tools that are DevOps enablers such as Jenkins, Chef, IBM UrbanCode Deploy, Atlassian Bamboo, and more. He is a CSM, SCJP, SCWCD, VCP, IBM Bluemix, CJE and IBM Urbancode certified professional. Tomasz Lelek is a Software Engineer who programs mostly in Java and Scala. He is a fan of microservice architectures and functional programming. He dedicates considerable time and effort to be better every day. Recently, he's been delving into big data technologies such as Apache Spark and Hadoop. He is passionate about nearly everything associated with software development. Tomasz thinks that we should always try to consider different solutions and approaches to solving a problem. Recently, he was a speaker at several conferences in Poland - Confitura and JDD (Java Developer's Day) and also at Krakow Scala User Group. He also conducted a live coding session at Geecon Conference. Colibri is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years it has worked with some of the world's largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world's most popular soft drinks companies, helping each of them make better sense of its data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action. James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. He's spent the last 3-5 years helping his clients to design and implement huge scale streaming Big Data platforms, Cloud-based analytics stacks, and serverless architectures. He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the Big Data space. Since then he's worked with a huge range of Big Data tools including most of the Hadoop eco-system, Spark and many No-SQL technologies such as Cassandra, MongoDB, Redis and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey. James is an AWS certified solutions architect with several years' experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of API's and analytics stack based around Lambda and Redshift. Colibri is a technology consultancy company founded in 2015 by James Cross and the company works to help their clients navigate the rapidly changing and complex world of emerging technologies. He is interested in almost anything that has to do with technology. He has worked with everything from Wordpress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it's new and solves a problem in an innovative way he's keen to give it a go!

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