pushtechnology/docker-diffusion repository overview

⁠What is Diffusion Server?

Diffusion is an intelligent WebSocket based pub-sub cache server. The event driven platform is focussed on the delivery of real time data from back end systems to edge-connected applications, in a scalable and highly efficient manner.

Key to the application are proprietary delta compression techniques, coupled with the ability to transform and manipulate JSON data in-flight, providing tailored consumer views with a fine-grained security model.

Diffusion is available as cloud hosted SaaS product⁠, and also as a self-hosted distribution.

This is the official docker image of the self-hosted Diffusion server, with default configuration and security, and a trial license.

⁠  Usage

⁠Start a Diffusion instance in one line:

docker run --name my-dockerised-diffusion -p 8080:8080 -d pushtechnology/docker-diffusion:latest

...where --name specifies a name for your running container, and -d instructs background running.

(Optionally, specify a different release version - see 'tags')

Once the docker container is running, clients can connect to the Diffusion server on port 8080, and the browser based management console can be accessed at localhost:8080⁠

Default management console admin credentials are, principal: admin, password: password

⁠Or, step by step:

⁠Pull the image

docker pull pushtechnology/docker-diffusion:latest

⁠Locate the image identifier of the downloaded image

docker images

⁠Run the image

docker run -p 8080:8080 <diffusion_image_id>

⁠  Supported tags

The latest Diffusion server release, and the latest release of each currently supported product version are available as follows:

• Latest Diffusion release - latest⁠

• Latest Diffusion 6.11 release - 6.11⁠, 6.11.2⁠

• Latest Diffusion 6.10 release - 6.10⁠, 6.10.6⁠

• Latest Diffusion 6.9 release - 6.9⁠, 6.9.8⁠

• Latest Diffusion 6.8 release - 6.8⁠, 6.8.11⁠

(For more specific release versions please refer to the 'tags' tab above)

⁠  Further information

Full Diffusion server documentation is published here⁠

(and within, more detailed docker image guidance⁠)

Links to wider product documentation, including an AI based assistant, can be found here⁠