I just came around a tool called Gatling (http://gatling-tool.org/) to create load tests for web applications. I used to use JMeter for a long time, but JMeter has weaknesses that Gatling doesn‘t have. JMeter uses a synchronous request approach. That means for every request JMeter generates, an internal thread is raised and therefore blocked until a response is being received or a timeout happens. This results in resource blocking on the load injector. The maximum number of threads is limited within a JVM - dependent on the underlying infrastructure - and even if you are able to run a lot of parallel threads this will result in a high CPU and memory utilization. Although performance tweaking and scaling out to distributed testing might help in such a case, it makes testing more complex and error-prone. This behavior can result in distorted metrics. Think about a typical breakpoint load test. You want to determine, which is the maximum number of requests per second your tested syst
A lot of information systems have been built with a data manipulation focus in mind. Often CRUD (create, read, update delete) operations built on top of a predefined relational data model are the first functionalities that are implemented and lay out as a foundation for the rest of an application. This is mainly because when we think about information systems we have a mental model of some record structure where we can create new records, read records, update existing records, and delete records. This had been learned throughout the last decade of data centric and transaction oriented IT systems. This approach often leads to shortcomings when it comes to query and analyze the system's data. Classical layered architecture This is where CQRS comes into the game. CQRS stands for Command Query Responsibility Segregation and has been first described by Greg Young and later on by Martin Fowler. This architectural pattern calls for dividing the software architecture into two parts