Maxrohde.com Website Review

For a few years now, micro services have been all the rage when it comes to the architecture of large applications. Personally I have always been a bit puzzled about what was so new a great about micro services in comparison to what came before them: Service Oriented Architecture (SOA). Indeed, SOA itself is often portrayed as a frightful antipattern from our past to be mentioned in the same breath To me, the move from CORBA et all to SOA to Micro Services has not been one of disrupting innovation but one of continuous learning; chiefly in relation to the technologies we employ. It just makes a world of difference setting up a big old monolithic application from the past or an express server in Node.JS (which is also a ‘monolith’ in its own right but just a smaller one – hopefully). The core problem we are trying to solve has not changed: distributed computing. Unfortunately, one of the first things we learnt about distributed computing seems to have been given less attention recently: that it is best avoided wherever possible. Why? Because it introduces great complexity into an application and can result in many development and operational problems (see YouTu*e: 10 Tips for failing One of the most problematic areas is data or persisted state. If the same piece of data needs to be used by multiple services, things become very complicated since it is often required to keep data in sync between multiple places (see YouTu*e: Managing Data in Recently I came across a presentation which I think outlined a very nice approach for dealing with micro services – one that relied heavily on code generation, enforcing common standards and automated testing. Furthermore in the presented architecture one language was used primarily, which I think is a very good approach. I highly recommend viewing this presentation for anyone interested in a way to and heavily tested allows for fast and bold development. This organisation for instance automatically updates all their dependencies