This represents a collection of applications in various languages which do the same thing: Forward incoming messages from an MQTT broker to an ElasticSearch instance.

The point is trying to determine:

• How easy is it to implement in a given language
• How well does the solution perform under load

The infrastructure components (MQTT broker, ES instance, application) are always deployed and run in docker containers. To this end, each project provides a docker-compose.yml which can be used to start the scenario with docker-compose up -d (for example) and then you can track the progress with docker-compose logs -f.

You can start multiple producer containers in order to increase the number of messages being sent to the MQTT broker by using:

docker-compose scale producer=5

It's best to chain the commands when starting the scenario, e.g.:

docker-compose up -d ; docker-compose scale producer=5 ; docker-compose logs -f watchdog

See the Groovy subproject.

See the Python subproject.

See the Payara Micro subproject.

See the Spring Boot subproject.

See the Node.js subproject.

See the producer subproject.

See the watchdog subproject.