Features
Service Workbench is designed from the ground up to make it easy for you to install the application and get running quickly.
Serverless Framework and Projects
Service Workbench on AWS is a serverless environment that is deployed using an event-driven API framework. Its components are spread across Lambda instances, static webpages using CloudFront and Amazon S3. It uses Amazon Cognito for authentication. Service Workbench relies on Service Catalog to host and manage CloudFormation templates that defines the workspaces. Service Workbench is deployed using the Serverless Framework and contains five serverless projects, described in Table 1.
| Serverless Project | Description |
|---|---|
| solution/backend/ | Code for the backend API and services. |
| solution/infrastructure/ | Code for creating the required AWS infrastructure. |
| solution/machine-images/ | The machine images for Research Workspaces. |
| solution/post-deployment/ | Code that executes upon completion of deployment of the solution to seed data bases and configure few options. |
| solution/ui/ | Code for web-based user interface. |
Table 1: Serverless Projects
For more information on Service Workbench architecture, refer to Architecture overview
Continuous Integration/Continuous Delivery
The Service Workbench solution includes a Continuous Integration/Continuous Delivery feature:
cicd/cicd-pipeline/serverless.ymlcicd/cicd-source/serverless.yml
Easy Installation
You can run the Service Workbench installation from your local machine or an Amazon Elastic Compute Cloud (Amazon EC2) instance. The installation involves the following:
- If you are deploying Service Workbench from Amazon EC2, create an instance with an appropriate instance profile. We recommend that you test the instance size requirements before deploying it.
- On your Amazon EC2 instance, (or local machine) install the node and node-based software.
- Download and unpack the Service Workbench code.
- Choose a Stage Name.
- Optionally, edit the configuration file.
- Run the main deployment script:
environment-deploy.sh. - Run the post-deployment script:
master-account-deploy.sh. - Log in and add an AWS account to your Service Workbench deployment.
- Create local user accounts.