diff --git a/docs/docs/deployment/deployment/index.md b/docs/docs/deployment/deployment/index.md index f62177d729..e3b358a2bd 100644 --- a/docs/docs/deployment/deployment/index.md +++ b/docs/docs/deployment/deployment/index.md @@ -29,12 +29,13 @@ _**Note**: You can create your own machine image if you do not wish to use the o To deploy the machine images SDC, follow the steps outlined in the readme file located in `main/solution/machine-images/README.md`. Additionally, perform the following actions: 1. Install Packer 1.6.0 by using [pkenv](https://github.com/iamhsa/pkenv). Packer 1.6.0 creates a custom AMI that is uploaded to the Service Workbench deployment. -2. Fetch the package with `curl` or `wget`, unzip the package, and copy it to the `directory /usr/local/bin`. -3. Change directory to `/main/solution/machine-images`. -4. Run the command below. The command takes approximately 15 minutes to complete: +2. Change directory to `/main/solution/machine-images`. +3. Run the command below. The command takes approximately 15 minutes to complete: ``` -`pnpx sls build-image -s ` +pnpx sls build-image -s ``` +- ** If the above command does not work, you might have to fetch the custom AMI package created in step 1 with `curl` or `wget`, unzip the package, and copy it to the `directory /usr/local/bin`. Resume from step 2.** + For examples of how to build a custom AMI, refer to the following scripts: – `config/infra/packer-ec2--workspace.json` diff --git a/main/end-to-end-tests/README.md b/main/end-to-end-tests/README.md index 94abf334b3..557e38ada7 100644 --- a/main/end-to-end-tests/README.md +++ b/main/end-to-end-tests/README.md @@ -12,6 +12,8 @@ To run the E2E tests, you will need the following items: - Username and password of an admin for the Service Workbench environment - Username and password of a researcher for the Service Workbench environment - A project set up for that researcher that can launch EC2 workspaces and Sagemaker workspaces + - Within that project, a study where the researcher is admin + - Within that project, a study where the researcher is not an admin - A configured EC2 workspace - A configured Sagemaker workspace