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Glean does not currently support GovCloud regions.

Required AWS Services

When deciding on deployment region for your Glean deployment, you must ensure that all AWS services required by Glean are present.
ServiceRequired
Amazon AthenaYes
Amazon Bedrock and Bedrock RuntimeNo - Required only if Claude is the selected LLM
AWS Certificate Manager (ACM)Yes
AWS CloudFormationYes
AWS CloudTrailNo - Only used by debug roles for troubleshooting and can be blocked
AWS CodeBuildYes
DynamoDBYes (only used for Terraform state locking)
Amazon Elastic Block Store (Amazon EBS)Yes
Amazon Elastic Compute Cloud (Amazon EC2)Yes
Amazon Elastic Container Registry (Amazon ECR and DKR)Yes
Amazon Elastic Kubernetes Service (Amazon EKS)Yes
Amazon ElastiCacheYes
Elastic Load Balancing/Application Load Balancing (ELB/ALB)Yes
GlueYes
AWS Key Management Service (AWS KMS)Yes
AWS IAMYes
AWS LambdaYes
Amazon CloudWatch Metrics and LogsYes
Amazon Relational Database Service (Amazon RDS & Performance Insights)Yes
AWS Resource Access Manager (RAM)No - only if sharing TGW for on-prem connectivity
Amazon Simple Storage Service (Amazon S3)Yes
Amazon SageMakerYes (see below for specifics)
AWS Secrets ManagerYes
AWS SignerYes
Amazon Simple Notification Service (Amazon SNS)Yes
Amazon Simple Queue Service (Amazon SQS)Yes
STSYes
AWS Systems Manager (Session Manager only w/ SSM Messages and EC2 Messages)Yes
Amazon TextractNo
Amazon Virtual Private Cloud (Amazon VPC)Yes
AWS WAFv2Yes

Amazon Bedrock

Amazon Bedrock is only required if you wish to use Anthropic’s Claude models for your organization’s selected LLM. If so, you must ensure that the following models are present in Bedrock for your selected region (Glean does not support the region if these models are not available):
  • Claude 3.5 Sonnet (V1)
  • Claude 3 Haiku
  • Amazon Titan Embeddings G1 - Text
More information: Model Support by AWS Region (docs.aws.amazon.com)

Amazon SageMaker

For Amazon Sagemaker, Glean requires that the following resource types be available in region:
  • ml.p3.16xlarge (NVIDIA V100 Multi GPU machines)
  • ml.g4dn.xlarge
  • ml.m5.2xlarge (deployments under 50M documents)
  • ml.m5.4xlarge (deployments over 50M documents)
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