Know how RESTful your API is: An Overview of the Richardson Maturity Model

Most of the time, I see developers are bit confused about the term REST. For some enterprise application developers, the meaning of REST is JSON i.e. if they are using JSON in their application, which means they working on REST API, which is not true to some extent. Let’s take a look what exactly a REST API is.

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Testing REST APIs with REST Assured

Note: This is an updated version of a post I wrote for my private blog years ago.

While working on the REST API of RHQ a long time ago, I had started writing some integration tests against it. Doing this via pure HTTP calls is very tedious and brittle. So, I was looking for a testing framework to help me and found one that I used for some time. I tried to enhance it a bit to better suit my needs but didn’t really get it to work.

I started searching again and this time found REST Assured, which is almost perfect as it provides a high-level fluent Java API to write tests. REST Assured can be used with the classic test runners like JUnit or TestNG.

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The Camel Rest DSL

Camel

Apache Camel is a piece of JBoss Fuse.  It is an open source integration framework with a variety of components to fit your integration needs.  Camel is a Java-based implementation of the Enterprise Integration Patterns based on a book by Gregor Hohpe and Bobby Woolf.  Camel includes components for HTTP, Files, FTP, JMS, JDBC, AWS, and much more.  While Camel can be used for many different purposes, this post will focus on the REST DSL specifically.

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The Hardest Part About Microservices: Your Data

Continuing on with my series about microservices implementations (see “Why Microservices Should Be Event Driven”, “Three things to make your microservices more resilient”, “Carving the Java EE Monolith: Prefer Verticals, not Layers” for background) we’re going to explore probably the hardest problem when creating and developing microservices. Your data. Using Spring Boot/Dropwizard/Docker doesn’t mean you’re doing microservices. Taking a hard look at your domain and your data will help you get to microservices.

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REST and microservices – breaking down the monolith step by asynchronous step

A few days ago I had a rant about the misuse and misunderstanding of REST (typically HTTP) for microservices.

To summarize, a few people/groups have been suggesting that you cannot do asynchronous interactions with HTTP, and that as a result of using HTTP you cannot break down a monolithic application into more agile microservices. The fact that most people refer to REST when they really mean HTTP is also a source of personal frustration, because by this stage experienced people in our industry really should know the difference. If you’re unsure of the difference then check out the restcookbook or even Roy’s PhD thesis (it’s quite a good read!)

However, I digress, so back to the rant: My goal is to point people in the right direction and make some recommendations, hence this followup post.

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