Building Web Servers in Java - Udemy

A Web server is a program that uses HTTP to serve the files that form Web pages to users, in response to their requests, which are then forwarded by their computers' HTTP clients. Dedicated computers and appliances may also be referred to as Web servers. It's a software that can process a client request and send a response back to the client. Web servers and web clients are two separate applications, so there should be a common language for communication. HTML is the common language between server and client. A web server is also called a Hypertext Transfer Protocol (HTTP) server because it uses HTTP to communicate with its clients, which are usually web browsers. Basically a web server is used to host web sites but other web servers also exist, such as gaming, storage, FTP, email, and more.

To start off the course, we will consume data from a public REST API using the new HTTP 2.0 client built into Java 9, providing both a synchronous and asynchronous example. Moving along, you will learn how to implement your own internet-facing REST API. We will do this by extending the previous example to publish data from a data file over the internet. We will then add a token-based authentication layer to our API, including examples of how to encrypt passwords and store them in a MySQL database. This course will teach you all you need to know to leverage the new HTTP 2.0 client bundled with Java 9 to build a fully functional HTTP REST API, complete with authentication, leveraging Hibernate and MySQL.

About the Author

Colibri Digital 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 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 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 also 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 APIs and an analytics stack based around Lambda and Redshift.