In this article
Overview
SnapLogic support for the Groundplex (also known as an on-premise Snaplex) on a Docker container empowers customers to optimize IT infrastructure costs while benefiting from containerized technology.
The SnapLogic Docker image is based on CentOS 7. Since we host the Docker image in the Docker Hub, you need to perform a pull operation to retrieve the latest Docker image.
Prerequisites
- Familiarity with the SnapLogic Snaplex installation process.
- Review the Groundplex requirements.
- Depending on your OS, review Groundplex installation for Linux or Windows.
Installing Groundplex in a Dockerized Container
Retrieve the latest Docker image from Docker Hub using the following pull command:
- In SnapLogic Manager, navigate to your target Groundplex instance and click it to display the Update dialog.
- In the Downloads tab, click in the Configuration option to download the .slpropz file for your Groundplex node.
After downloading the configuration file, you are ready to launch your Groundplex as a Docker container.
Running a Snaplex Node from Docker
To run the Snaplex node from Docker:
- Create a local directory <Configuration_Path>/etc, and add the slpropz configuration file to the folder, ensuring that the file extension is .slpropz.
- Create an empty log folder <Log_Path>/log. The JCC logs are written to this directory.
Enter the following command to create and run the latest version of the Docker container image:
where:
- -p enables port mapping, so that you can use the local dashboard and FeedMaster. You can also use other Docker networks, if required.
- -v enables you to specify the Docker volume to use. Store the <Snaplex_Name>.slpropz in the /opt/snaplogic/etc directory.
For this command to work, you need to complete the following tasks:
- Expose ports 8090 and 8081 for standard Snaplex nodes.
- Expose port 8084 for FeedMaster nodes.
- Mount the configuration file to the /opt/snaplogic/etc directory.
Example
Depending on how you install Docker, you may need to use sudo. For more information on the Docker run
command, see Docker Run.