Top 10 Amazon WorkSpaces Configuration for Large Scale Enterprise Deployment
This is a list of my top 10 features to configure for a large scale Amazon WorkSpaces deployment. This is based on my experience with working on many different deployments.
Published Nov 8, 2024
Deploying Amazon WorkSpaces in a large-scale enterprise requires careful planning to ensure performance, security, and user satisfaction. Here are the top ten features to configure for a successful deployment:
Integrate with your existing AD for seamless user management and policy enforcement. Ensure AD Domain Controllers are extended onto AWS within the AWS region. Use AWS AD Connector and apply Group Policies for consistency.
Enhance security by requiring multiple verification factors. Integrate a RADIUS server with AD Connector and use AWS MFA. When using SAML 2.0 integration, ensure your identity provider (IdP) supports MFA. This allows users to authenticate through their existing SAML 2.0 IdP, leveraging MFA policies already in place.
Protect data at rest and in transit. Enable volume encryption with AWS KMS. You can opt to use Customer Managed Keys for KMS for additional control.
Maintain health and security with continuous monitoring. Use Amazon CloudWatch for performance metrics and AWS CloudTrail for API call logging. Enable Amazon CloudWatch automatic Dashboard for WorkSpaces.
Standardize configurations with custom images and bundles. Create a separate WorkSpaces directory for Image Management and assign a dedicated Active Directory organization unit (OU). Block group policy inheritance from this OU to ensure the imaging workspaces does not receive GPO policies. Then create AD user to dedicate for master image creation and update. This simplifies updates and ensures consistency.
Optimize costs by stopping WorkSpaces when not in use and starting them as needed. Configure these settings to reduce idle resource costs. Deploy the Amazon WorkSpaces Cost Optimizer to analyzes all of your Amazon WorkSpaces usage data and automatically converts the WorkSpace to the most cost-effective billing option (hourly or monthly).
Ensure efficient performance by tuning settings based on user needs. Keep Amazon WorkSpaces client applications updated for best performance. For applications requiring real-time communication, configure settings for optimized audio and video performance. This includes enabling bi-directional audio, webcam redirection, and using high-quality headsets
Ensure effective communication with proper network setup. Use a dedicated VPC for the WorkSpaces deployment which allow you to apply specific security and governance policies tailored to WorkSpaces. Use AWS Transit Gateway and AWS Direct Connect for reliable connections.
Using AWS CloudFormation or HashiCorp Terraform Infrastructure as Code (IaC) is a powerful approach to automate the deployment of Amazon WorkSpaces, ensuring consistency, scalability, and efficiency. By defining infrastructure and configuration in version-controlled templates, IaC allows for the automated provisioning and management of Amazon WorkSpaces environments.
Protect data with regular snapshots and a disaster recovery plan. Ensure you can restore WorkSpaces and data in case of failure. Deploy WorkSpaces across multiple AWS Regions to ensure that if one region experiences an outage, users can be redirected to WorkSpaces in another region. This can be managed using cross-Region redirection and DNS failover routing policies
These are a short list of 10 features I always recommend for large scale deployment. Configuring these features ensures a secure, efficient, and scalable Amazon WorkSpaces deployment. Implement these best practices to enhance security, compliance, user experience, and operational efficiency.
If you have other features not listed here, please share in the comments!