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Deployment

Time to deploy: Approximately 60 minutes

The steps will be done in TRE project account where the Amazon Machine Images need to be created. You can choose to do this in centralised account if using the centralised AMI management capability of SWB.

Log in to the EC2 instance

  • Logon to AWS the management console for TRE project account.

  • Follow these instructions to learn how to connect via SSM to the EC2 instance created in Step 1A.

  • Run the following command to initialise your environment:

    sudo -iu ec2-user

Download repo

  • Download the source code repo using below command. You would need to provide your git credentials if required.

    git clone https://github.com/HicResearch/treehoose-ec2-builder.git /home/ec2-user/tmp/tre/src

Bootstrap CDK app

  • Run below commands to create and activate virtual environment for the CDK application.

    cd /home/ec2-user/tmp/tre/src/treehoose-ec2-builder
python3 -m venv .venv
source .venv/bin/activate

  • Install the dependencies

    pip install -r requirements.txt

  • Bootstrap the CDK app

    Ensure that you have the correct AWS CLI credentials configured for the account in which you want to deploy the stacks. Alternatively pass the correct profile using --profile PROFILE_NAME in all cdk commands

    alias cdk="npx aws-cdk@2.x"
cdk bootstrap aws://ACCOUNT-NUMBER/REGION

Region will be the region in which you want to deploy the infrastructure

Update configuration for CDK app

  • Update below parameters in cdk.json file.

    al2_config>base_image_id : On the deployment instance run below command to get the AMI id and use the appropriate LTS AMI id

    aws ec2 describe-images --filters "Name=name,Values=amzn2*MATE*" --query "Images[*].[ImageId,Name,Description]"

    ubuntu_config>base_image_id : On the deployment instance run below command to get the AMI id and use the appropriate LTS AMI id

    aws ec2 describe-images --filters "Name=name,Values=ubuntu*server*" --query "Images[*].[ImageId,Name,Description]"

    vpc_id : The id of the vpc created by deployment instance template. Use this from the CloudFormation output of stack TREDeploymentInstance

    subnet_id : The id of the subnet created by deployment instance template. Use this from the CloudFormation output of stack TREDeploymentInstance

    Optionally, you can also update the root_volume_size and instance_types parameters for each pipeline based on the requirements.

    Add the required tags inside resource_tags.

Deploy Image Builder Pipelines

  • Deploy Al2MateImagebuilderPipeline stack which will deploy the image builder pipeline to create an AMI with Amazon Linux 2 with MATE UI, xrdp setup, Libreoffice apps and Firefox installed.

    cdk deploy --all

Run the image builder pipeline

You can automate the image builder pipeline by updating the code in cdk application. Currently once the pipeline is created you will need to run the image builder pipeline manually.

Follow these instructions to run image builder pipeline.

Once the image builder pipeline is completed an AMI will be available for use. If the image builder pipeline runs into error, logs are available in CloudWatch.

Add new products to service workbench

Cloudformation templates to add the new workspace types as products in Service workbench are available in Service Catalog Products folder.

# copy templates
cp /home/ec2-user/tmp/tre/src/treehoose-ec2-builder/service-catalog-products/*.yml /home/ec2-user/tmp/service-workbench-on-aws-5.2.7/addons/addon-base-raas/packages/base-raas-cfn-templates/src/templates/service-catalog

# change permissions
chmod 664 /home/ec2-user/tmp/service-workbench-on-aws-5.2.7/addons/addon-base-raas/packages/base-raas-cfn-templates/src/templates/service-catalog/*

Follow these instructions to add the workspace types as custom products.

Example config

  {
    filename: 'al2-mate',
    displayName: 'Amazon Linux 2 Desktop',
    description: `* An Amazon Linux 2 Desktop instance with MATE gui and RDP access`,
  },
  {
    filename: 'ubuntu-mate',
    displayName: 'Ubuntu Desktop',
    description: `* An Ubuntu Desktop instance with MATE gui and RDP access`,
  }

Redeploy service workbench

Run below command to re-deploy service workbench

cd /home/ec2-user/tmp/service-workbench-on-aws-5.2.7
./scripts/environment-deploy.sh treprod