Get yourself trained on Guide to AWS with this Online Training Guide to AWS Networking.
Online Training Guide to AWS Networking
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.With this practical course, you will get started with the basics of AWS networking where you will learn how to configure a VPC and create subnets for different use cases. Then you will be learning to integrate networkto-storage systems with AWS Networking. Moving further you will understand how to create your own virtual private cloud & build fine-grained network access controls, Integrate the VPC with On-Premise Networks.Contents and OverviewThis training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.The first course, AWS Networking Solutions includes a series of tutorials to help users become fluent in a variety of networking aspects for Amazon Web Services’ public cloud offering. The content is geared towards practical exercises that demonstrate important concepts. Each tutorial builds on the previous one, the result is a connected, secure multi-VPC configuration. You will 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 second course, Networking and Security Best Practices on AWS 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.About the Authors: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.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 they have 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 to make better sense of their 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 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 an analytics stack based around Lambda and Redshift. 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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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.