skyplane-nightly 0.2.0.dev20221008

Skyplane efficiently transports data between cloud regions and providers.

🔥 Blazing fast bulk data transfers between any cloud 🔥

Skyplane is a tool for blazingly fast bulk data transfers in the cloud. Skyplane manages parallelism, data partitioning, and network paths to optimize data transfers, and can also spin up VM instances to increase transfer throughput.

You can use Skyplane to transfer data:

• Between buckets within a cloud provider
• Between object stores across multiple cloud providers
• Between local storage and cloud object stores

Skyplane supports all major public clouds including AWS, Azure, and GCP. It can also transfer data between any combination of these clouds:

Getting started

Installation

We recommend installation from PyPi: pip install skyplane[aws] To install support for all clouds, run: pip install skyplane[aws,azure,gcp]

GCP support on the M1 Mac: If you are using an M1 Mac with the arm64 architecture and want to install GCP support for Skyplane, you will need to install as follows GRPC_PYTHON_BUILD_SYSTEM_OPENSSL=1 GRPC_PYTHON_BUILD_SYSTEM_ZLIB=1 pip install skyplane[aws,gcp]

Authenticating with cloud providers

To transfer files from cloud A to cloud B, Skyplane will start VMs (called gateways) in both A and B. The CLI therefore requires authentication with each cloud provider. Skyplane will infer credentials from each cloud providers CLI. Therefore, log into each cloud.

Setting up AWS credentials

To set up AWS credentials on your local machine, first install the AWS CLI.

After installing the AWS CLI, configure your AWS IAM access ID and secret with aws configure (more details).

Setting up GCP credentials

To set up GCP credentials on your local machine, first install the gcloud CLI.

After installing the gcloud CLI, configure your GCP CLI credentials with gcloud auth as follows

$ gcloud auth login
$ gcloud auth application-default login

Ensure the GCP Compute Engine, Storage Engine, Cloud Resource Manager, and IAM APIs are enabled for the project.

Setting up Azure credentials

To set up Azure credentials on your local machine, first install the Azure CLI.

After installing the Azure CLI, configure your Azure CLI credentials with az login as follows:

$ az login

Skyplane should now be able to authenticate with Azure although you may need to pass your subscription ID to skyplane init later.

Importing cloud credentials into Skyplane

After authenticating with each cloud provider, you can run skyplane init to create a configuration file for Skyplane.

$ skyplane init

skyplane init output

$ skyplane init

====================================================
 _____ _   ____   _______ _       ___   _   _  _____
/  ___| | / /\ \ / / ___ \ |     / _ \ | \ | ||  ___|
\ `--.| |/ /  \ V /| |_/ / |    / /_\ \|  \| || |__
 `--. \    \   \ / |  __/| |    |  _  || . ` ||  __|
/\__/ / |\  \  | | | |   | |____| | | || |\  || |___
\____/\_| \_/  \_/ \_|   \_____/\_| |_/\_| \_/\____/
====================================================


(1) Configuring AWS:
    Loaded AWS credentials from the AWS CLI [IAM access key ID: ...XXXXXX]
    AWS region config file saved to /home/ubuntu/.skyplane/aws_config

(2) Configuring Azure:
    Azure credentials found in Azure CLI
    Azure credentials found, do you want to enable Azure support in Skyplane? [Y/n]: Y
    Enter the Azure subscription ID: [XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX]:
    Azure region config file saved to /home/ubuntu/.skyplane/azure_config
    Querying for SKU availbility in regions
    Azure SKU availability cached in /home/ubuntu/.skyplane/azure_sku_mapping

(3) Configuring GCP:
    GCP credentials found in GCP CLI
    GCP credentials found, do you want to enable GCP support in Skyplane? [Y/n]: Y
    Enter the GCP project ID [XXXXXXX]:
    GCP region config file saved to /home/ubuntu/.skyplane/gcp_config

Config file saved to /home/ubuntu/.skyplane/config

Using Skyplane

The easiest way to use Skyplane is to use the CLI. skyplane cp supports any local path or cloud object store destination as an argument.

# copy files between two AWS S3 buckets
$ skyplane cp -r s3://... s3://...

# copy files from an AWS S3 bucket to a GCP GCS bucket
$ skyplane cp -r s3://... gs://...

# copy files from a local directory to/from a cloud object store
$ skyplane cp -r /path/to/local/files gs://...

Skyplane also supports incremental copies via skyplane sync:

# copy changed files from S3 to GCS
$ skyplane sync s3://... gcs://...

skyplane sync will diff the contents of the source and destination and only copy the files that are different or have changed. It will not delete files that are no longer present in the source so it's always safe to run skyplane sync.

Accelerating transfers

Use multiple VMs

With default arguments, Skyplane sets up a one VM (called gateway) in the source and destination regions. We can further accelerate the transfer by using more VMs.

To double the transfer speeds by using two VMs in each region, run:

$ skyplane cp -r s3://... s3://... -n 2

⚠️ If you do not have enough vCPU capacity in each region, you may get a InsufficientVCPUException. Either request more vCPUs or reduce the number of parallel VMs.

Stripe large objects across multiple VMs

Skyplane can transfer a single large object across multiple VMs to accelerate transfers. Internally, Skyplane will stripe the large object into many small chunks which can be transferred in parallel.

To stripe large objects into multiple chunks, run:

$ skyplane cp -r s3://... s3://... --max_chunk_size_mb 16

⚠️ Large object transfers are only supported for transfers between AWS S3 buckets at the moment.