wolkenkit is a CQRS and event-sourcing framework based on Node.js. It empowers you to build and run scalable distributed web and cloud services that process and store streams of domain events. It supports JavaScript and TypeScript, and is available under an open-source license. Additionally, there are also enterprise add-ons. Since it works especially well in conjunction with domain-driven design (DDD), wolkenkit is the perfect backend framework to shape, build, and run web and cloud APIs.
BEWARE: This README.md refers to the wolkenkit 4.0 community technology preview (CTP) 1. If you are looking for the latest stable release of wolkenkit, see the wolkenkit documentation.
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First you have to initialize a new application. For this, execute the following command and select a template and a language. The application is then created in a new subdirectory:
$ npx wolkenkit@4.0.0-ctp.1 init <name>
Next, you need to install the application dependencies. To do this, change to the application directory and run the following command:
$ npm install
Finally, from within the application directory, run the application in local development mode by executing the following command:
$ npx wolkenkit dev
Please note that the local development mode processes all data in-memory only, so any data will be lost when the application is closed.
To send commands or receive domain events, the current version only offers an HTTP interface. By default, wolkenkit provides three endpoints in local development mode:
http://localhost:3000/command/v2
for sending commandshttp://localhost:3000/domain-events/v2
for receiving domain eventshttp://localhost:3001/health/v2
for fetching health data
Please note that a future version of wolkenkit is going to include support for other formats and protocols, including GraphQL.
To send a command, send a POST
request with the following JSON data structure in the body to the command endpoint of the runtime. Of course, the specific names of the context, the aggregate and the command itself, as well as the aggregate id and the command's data depend on the domain you have modeled:
{
"contextIdentifier": {
"name": "communication"
},
"aggregateIdentifier": {
"name": "message",
"id": "ff7cd4eb-8ce0-4511-995a-2f9e9ce245fa"
},
"name": "send",
"data": {
"text": "Hello, world!"
}
}
To receive domain events, send a GET
request to the domain events endpoint of the runtime. The response is a stream of newline-separated JSON objects, using application/x-ndjson
as its content-type. From time to time, a heartbeat
will be sent by the server as well, which you may want to filter.
For details on the commands and domain events, and their data, see the sample application you have initialized.
To package the application into a Docker image, change to the application directory and run the following command. Assign a custom tag to name the Docker image:
$ docker build -t <tag> .
Then you can push the created Docker image into a registry of your choice, for example to use it in Kubernetes.
Once you have built the Docker image, you can use docker-compose
to run the application. The application directory contains a subdirectory named deployment/docker-compose
, which contains ready-made scripts for various scenarios.
Basically, you can choose between the single-process runtime and the microservice runtime. While the former runs the entire application in a single process, the latter splits the different parts of the application into different processes, each of which you can then run on a separate machine.
Using docker-compose
also allows you to connect your own databases and infrastructure components. For details see the respective scripts.
Please remember that this version is a community technology preview (CTP) of the upcoming wolkenkit 4.0. Therefore it is possible that not all provided features work as expected or that some features are missing completely.
BEWARE: Do not use the CTP for productive use, but only for getting a first impression of and evaluating the upcoming wolkenkit 4.0.
If you experience any difficulties, please create an issue and provide any steps required to reproduce the issue, as well as the expected and the actual result. Additionally provide the versions of wolkenkit and Docker, and the type and architecture of the operating system you are using.
Ideally you can also include a short but complete code sample to reproduce the issue. Anyway, depending on the issue, this may not always be possible.
To build this module use roboter.
$ npx roboter