Tutorial: Create a managed compute environment using Amazon EKS resources - AWS Batch

Tutorial: Create a managed compute environment using Amazon EKS resources

Complete the following steps to create a mangaed compute environment using Amazon Elastic Kubernetes Service (Amazon EKS) resources.

  1. Open the AWS Batch console at https://console.aws.amazon.com/batch/.

  2. From the navigation bar, select the AWS Region to use.

  3. In the navigation pane, choose Compute environments.

  4. Choose Create.

  5. For Compute environment configuration, choose Amazon Elastic Kubernetes Service (Amazon EKS).

  6. For Name, specify a unique name for your compute environment. The name can be up to 128 characters in length. It can contain uppercase and lowercase letters, numbers, hyphens (-), and underscores (_).

  7. For Instance role, choose an existing instance profile that has the required IAM permissions attached.

    Note

    To create a compute environment in the AWS Batch console, choose an instance profile that has the eks:ListClusters and eks:DescribeCluster permissions.

  8. For EKS cluster, choose an existing Amazon EKS cluster.

  9. For Namespace, enter a Kubernetes namespace to group your AWS Batch processes in the cluster.

  10. (Optional) Expand Tags. Choose Add tag and then enter a key-value pair.

  11. Choose Next page.

  12. (Optional) For Use EC2 Spot Instances, turn on Enable using Spot instances to use Amazon EC2 Spot Instances.

  13. (Spot only) For Maximum % on-demand price, choose the maximum percentage that a Spot Instance price can be when compared with the On-Demand price for that instance type before instances are launched. For example, if your maximum price is 20%, then the Spot price must be less than 20% of the current On-Demand price for that EC2 instance. You always pay the lowest (market) price and never more than your maximum percentage. If you leave this field empty, the default value is 100% of the On-Demand price.

  14. (Spot only) For Spot fleet role, choose the Amazon EC2 Spot fleet IAM role for the SPOT compute environment.

    Important

    This role is required if the allocation strategy is set to BEST_FIT or not specified.

  15. (Optional) For Minimum vCPUs, choose the minimum number of vCPUs that your compute environment maintains, regardless of job queue demand.

  16. (Optional) For Maximum vCPUs, choose the maximum number of vCPUs that your compute environment can scale out to, regardless of job queue demand.

  17. For Allowed instance types, choose the Amazon EC2 instance types that can be launched. You can specify instance families to launch any instance type within those families (for example, c5, c5n, or p3). Or, you can specify specific sizes within a family (for example, c5.8xlarge). Metal instance types aren't in the instance families. For example, c5 doesn't include c5.metal. You can also choose optimal to select instance types (from the C4, M4, and R4 instance families) because you need that match the demand of your job queues.

    Note

    When you create a compute environment, the instance types that you select for the compute environment must share the same architecture. For example, you can't mix x86 and ARM instances in the same compute environment.

    Note

    AWS Batch scales GPUs based on the required amount in your job queues. To use GPU scheduling, the compute environment must include instance types from the p2, p3, p4, p5, g3, g3s, g4, or g5 families.

    Note

    Currently, optimal uses instance types from the C4, M4, and R4 instance families. In AWS Regions that don't have instance types from those instance families, instance types from the C5, M5, and R5 instance families are used.

  18. (Optional) Expand Additional configuration.

    1. (Optional) For Placement group, enter a placement group name to group resources in the compute environment.

    2. For Allocation strategy, choose BEST_FIT_PROGRESSIVE.

    3. (Optional) For Amazon Machine Images (AMIs) Configuration, choose Add amazon machine images (amis) configuration. Then, choose an Image Type, enter an Image ID override, and Kubernetes version.

      Important

      To use a custom AMI, choose the image type and then enter the custom AMI ID in the Image ID override box.

      Note

      If the Image ID override isn't specified for each Image type, AWS Batch selects a recent Amazon ECS optimized AMI. If no Image type is specified, the default is a Amazon Linux 2 for non-GPU, non AWS Graviton instance.

      Amazon Linux 2

      Default for all AWS Graviton-based instance families (for example, C6g, M6g, R6g, and T4g) and can be used for all non-GPU instance types.

      Amazon Linux 2 (GPU)

      Default for all GPU instance families (for example, P4 and G4) and can be used for all non AWS Graviton-based instance types.

    4. (Optional) For Launch template, choose an existing launch template.

    5. (Optional) For Launch template version, enter $Default, $Latest, or a version number.

  19. Choose Next page.

  20. For Virtual Private Cloud (VPC) ID, choose a VPC where to launch the instances.

  21. For Subnets, choose the subnets to use. By default, all subnets within the selected VPC are available.

    Note

    AWS Batch on Amazon EKS supports Local Zones. For more information, see Amazon EKS and AWS Local Zones in the Amazon EKS User Guide.

  22. (Optional) For Security groups, choose a security group to attach to your instances. By default, the default security group for your VPC is selected.

  23. Choose Next page.

  24. For Review, review the configuration steps. If you need to make changes, choose Edit. When you're finished, choose Create compute environment.