Amazon FSx Construct Library

---

End-of-Support

AWS CDK v1 has reached End-of-Support on 2023-06-01. This package is no longer being updated, and users should migrate to AWS CDK v2.

For more information on how to migrate, see the Migrating to AWS CDK v2 guide.

Amazon FSx provides fully managed third-party file systems with the native compatibility and feature sets for workloads such as Microsoft Windows–based storage, high-performance computing, machine learning, and electronic design automation.

Amazon FSx supports two file system types: Lustre and Windows File Server.

FSx for Lustre

Amazon FSx for Lustre makes it easy and cost-effective to launch and run the popular, high-performance Lustre file system. You use Lustre for workloads where speed matters, such as machine learning, high performance computing (HPC), video processing, and financial modeling.

The open-source Lustre file system is designed for applications that require fast storage—where you want your storage to keep up with your compute. Lustre was built to solve the problem of quickly and cheaply processing the world's ever-growing datasets. It's a widely used file system designed for the fastest computers in the world. It provides submillisecond latencies, up to hundreds of GBps of throughput, and up to millions of IOPS. For more information on Lustre, see the Lustre website.

As a fully managed service, Amazon FSx makes it easier for you to use Lustre for workloads where storage speed matters. Amazon FSx for Lustre eliminates the traditional complexity of setting up and managing Lustre file systems, enabling you to spin up and run a battle-tested high-performance file system in minutes. It also provides multiple deployment options so you can optimize cost for your needs.

Amazon FSx for Lustre is POSIX-compliant, so you can use your current Linux-based applications without having to make any changes. Amazon FSx for Lustre provides a native file system interface and works as any file system does with your Linux operating system. It also provides read-after-write consistency and supports file locking.

Installation

Import to your project:

import aws_cdk.aws_fsx as fsx

Basic Usage

Setup required properties and create:

# vpc: ec2.Vpc


file_system = fsx.LustreFileSystem(self, "FsxLustreFileSystem",
    lustre_configuration=fsx.LustreConfiguration(deployment_type=fsx.LustreDeploymentType.SCRATCH_2),
    storage_capacity_gi_b=1200,
    vpc=vpc,
    vpc_subnet=vpc.private_subnets[0]
)

Connecting

To control who can access the file system, use the .connections attribute. FSx has a fixed default port, so you don't need to specify the port. This example allows an EC2 instance to connect to a file system:

# file_system: fsx.LustreFileSystem
# instance: ec2.Instance


file_system.connections.allow_default_port_from(instance)

Mounting

The LustreFileSystem Construct exposes both the DNS name of the file system as well as its mount name, which can be used to mount the file system on an EC2 instance. The following example shows how to bring up a file system and EC2 instance, and then use User Data to mount the file system on the instance at start-up:

import aws_cdk.aws_iam as iam

# vpc: ec2.Vpc

lustre_configuration = {
    "deployment_type": fsx.LustreDeploymentType.SCRATCH_2
}

fs = fsx.LustreFileSystem(self, "FsxLustreFileSystem",
    lustre_configuration=lustre_configuration,
    storage_capacity_gi_b=1200,
    vpc=vpc,
    vpc_subnet=vpc.private_subnets[0]
)

inst = ec2.Instance(self, "inst",
    instance_type=ec2.InstanceType.of(ec2.InstanceClass.T2, ec2.InstanceSize.LARGE),
    machine_image=ec2.AmazonLinuxImage(
        generation=ec2.AmazonLinuxGeneration.AMAZON_LINUX_2
    ),
    vpc=vpc,
    vpc_subnets=ec2.SubnetSelection(
        subnet_type=ec2.SubnetType.PUBLIC
    )
)
fs.connections.allow_default_port_from(inst)

# Need to give the instance access to read information about FSx to determine the file system's mount name.
inst.role.add_managed_policy(iam.ManagedPolicy.from_aws_managed_policy_name("AmazonFSxReadOnlyAccess"))

mount_path = "/mnt/fsx"
dns_name = fs.dns_name
mount_name = fs.mount_name

inst.user_data.add_commands("set -eux", "yum update -y", "amazon-linux-extras install -y lustre2.10", f"mkdir -p {mountPath}", f"chmod 777 {mountPath}", f"chown ec2-user:ec2-user {mountPath}", f"echo \"{dnsName}@tcp:/{mountName} {mountPath} lustre defaults,noatime,flock,_netdev 0 0\" >> /etc/fstab", "mount -a")

Importing

An FSx for Lustre file system can be imported with fromLustreFileSystemAttributes(stack, id, attributes). The following example lays out how you could import the SecurityGroup a file system belongs to, use that to import the file system, and then also import the VPC the file system is in and add an EC2 instance to it, giving it access to the file system.

sg = ec2.SecurityGroup.from_security_group_id(self, "FsxSecurityGroup", "{SECURITY-GROUP-ID}")
fs = fsx.LustreFileSystem.from_lustre_file_system_attributes(self, "FsxLustreFileSystem",
    dns_name="{FILE-SYSTEM-DNS-NAME}",
    file_system_id="{FILE-SYSTEM-ID}",
    security_group=sg
)

vpc = ec2.Vpc.from_vpc_attributes(self, "Vpc",
    availability_zones=["us-west-2a", "us-west-2b"],
    public_subnet_ids=["{US-WEST-2A-SUBNET-ID}", "{US-WEST-2B-SUBNET-ID}"],
    vpc_id="{VPC-ID}"
)

inst = ec2.Instance(self, "inst",
    instance_type=ec2.InstanceType.of(ec2.InstanceClass.T2, ec2.InstanceSize.LARGE),
    machine_image=ec2.AmazonLinuxImage(
        generation=ec2.AmazonLinuxGeneration.AMAZON_LINUX_2
    ),
    vpc=vpc,
    vpc_subnets=ec2.SubnetSelection(
        subnet_type=ec2.SubnetType.PUBLIC
    )
)

fs.connections.allow_default_port_from(inst)

FSx for Windows File Server

The L2 construct for the FSx for Windows File Server has not yet been implemented. To instantiate an FSx for Windows file system, the L1 constructs can be used as defined by CloudFormation.

Metadata

Release files for aws-cdk.aws-fsx 1.204.0

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Source distribution for aws-cdk.aws-fsx 1.204.0
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