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CloudTik

CloudTik is a cloud scale platform for distributed analytics and AI on public cloud providers including AWS, Azure, GCP, and so on. CloudTik enables users or enterprises to easily create and manage analytics and AI platform on public clouds, with out-of-box optimized functionalities and performance, and to go quickly to focus on running the business workloads in hours or in even minutes instead of spending months to construct and optimize the platform.

CloudTik provides:

  • Scalable, robust, and unified control plane and runtimes for all public clouds
  • Out of box optimized runtimes for analytics and AI (Spark, ...)
  • Support of major public cloud providers - AWS, Azure, GCP, Kubernetes (EKS, AKS, and GKE) and more
  • A fully open architecture and open-sourced solution

Getting Started with CloudTik

1. Preparing Python environment

CloudTik requires a Python environment on Linux. We recommend using Conda to manage Python environments and packages.

If you don't have Conda installed, please refer to dev/install-conda.sh to install Conda on Linux.

git clone https://github.com/oap-project/cloudtik.git && cd cloudtik
bash dev/install-conda.sh

Once Conda is installed, create an environment with a specific Python version as below. CloudTik currently supports Python 3.7, 3.8, 3.9. Take Python 3.7 for example,

conda create -n cloudtik -y python=3.7
conda activate cloudtik

2. Installing CloudTik

Execute the following pip commands to install CloudTik on your working machine for specific cloud providers.

Take AWS for example,

# if running CloudTik on aws
pip install -U "cloudtik[aws] @ https://d30257nes7d4fq.cloudfront.net/downloads/cloudtik/cloudtik-0.9.1-cp37-cp37m-manylinux2014_x86_64.whl"

Replace cloudtik[aws] with clouditk[azure] or cloudtik[gcp] if you want to create clusters on Azure or GCP. Use cloudtik[all] if you want to manage clusters with all supported Cloud providers.

The following table shows the installation links for latest CloudTik wheels of supported Python versions.

Linux Installation
Python 3.9 pip install -U "cloudtik[aws] @ https://d30257nes7d4fq.cloudfront.net/downloads/cloudtik/cloudtik-0.9.1-cp39-cp39-manylinux2014_x86_64.whl"
Python 3.8 pip install -U "cloudtik[aws] @ https://d30257nes7d4fq.cloudfront.net/downloads/cloudtik/cloudtik-0.9.1-cp38-cp38-manylinux2014_x86_64.whl"
Python 3.7 pip install -U "cloudtik[aws] @ https://d30257nes7d4fq.cloudfront.net/downloads/cloudtik/cloudtik-0.9.1-cp37-cp37m-manylinux2014_x86_64.whl"

3. Authentication to Cloud Providers API

After CloudTik is installed on your working machine, you need to configure or log into your Cloud account to authenticate the cloud provider CLI on this machine.

AWS

First, install AWS CLI (command line interface) on your working machine. Please refer to Installing AWS CLI for detailed instructions.

After AWS CLI is installed, you need to configure AWS CLI about credentials. The quickest way to configure it is to run aws configure command, and you can refer to Managing access keys to get AWS Access Key ID and AWS Secret Access Key.

More details for AWS CLI can be found in AWS CLI Getting Started.

Azure

After CloudTik is installed on your working machine, login to Azure using az login. Refer to Sign in with Azure CLI for more details.

GCP

If you use service account authentication, follow Creating a service account to create a service account on Google Cloud.

A JSON file should be safely downloaded to your local computer, and then set the GOOGLE_APPLICATION_CREDENTIALS environment variable as described in the Setting the environment variable on your working machine.

If you are using user account authentication, refer to User Guide: Login to Cloud for details.

4. Creating a Workspace for Clusters.

Once you authenticated with your cloud provider, you can start to create a Workspace.

CloudTik uses Workspace concept to easily manage shared Cloud resources such as VPC network resources, identity and role resources, firewall or security groups, and cloud storage resources. By default, CloudTik will create a workspace managed cloud storage (S3 for AWS, Data Lake Storage Gen 2 for Azure, GCS for GCP) for use without any user configurations. Within a workspace, you can start one or more clusters with different combination of runtime services.

Create a configuration workspace yaml file to specify the unique workspace name, cloud provider type and a few cloud provider properties.

Take AWS for example,

# A unique identifier for the workspace.
workspace_name: example-workspace

# Cloud-provider specific configuration.
provider:
    type: aws
    region: us-west-2
    # Use allowed_ssh_sources to allow SSH access from your client machine
    allowed_ssh_sources:
      - 0.0.0.0/0

NOTE: 0.0.0.0/0 in allowed_ssh_sources will allow any IP addresses to connect to your cluster as long as it has the cluster private key. For more security, you need to change from 0.0.0.0/0 to restricted CIDR ranges for your case.

Use the following command to create and provision a Workspace:

cloudtik workspace create /path/to/your-workspace-config.yaml

Check example/cluster folder for more Workspace configuration file examples.

If you encounter problems on creating a Workspace, a common cause is that your current login account for the cloud doesn't have enough privileges to create some resources such as VPC, storages, public ip and so on. Make sure your current account have enough privileges. An admin or owner role will give the latest chance to have all these privileges.

5. Starting a cluster with Spark runtime

Now you can start a cluster running Spark by default:

cloudtik start /path/to/your-cluster-config.yaml

A typical cluster configuration file is usually very simple thanks to design of CloudTik's templates with inheritance.

Take AWS for example,

# An example of standard 1 + 3 nodes cluster with standard instance type
from: aws/standard

# Workspace into which to launch the cluster
workspace_name: example-workspace

# A unique identifier for the cluster.
cluster_name: example

# Cloud-provider specific configuration.
provider:
    type: aws
    region: us-west-2

auth:
    ssh_user: ubuntu
    # Set proxy if you are in corporation network. For example,
    # ssh_proxy_command: "ncat --proxy-type socks5 --proxy your_proxy_host:your_proxy_port %h %p"

available_node_types:
    worker.default:
        # The minimum number of worker nodes to launch.
        min_workers: 3

This example can be found in CloudTik source code folder example/cluster/aws/example-standard.yaml.

You need only a few key settings in the configuration file to launch a Spark cluster.

As for auth above, please set proxy if your working node is using corporation network.

auth:
    ssh_user: ubuntu
    ssh_proxy_command: "ncat --proxy-type socks5 --proxy <your_proxy_host>:<your_proxy_port> %h %p"

The cluster key will be created automatically for AWS and GCP if not specified. The created private key file can be found in .ssh folder of your home folder. For Azure, you need to generate an RSA key pair manually (use ssh-keygen -t rsa -b 4096 to generate a new ssh key pair). and configure the public and private key as following,

auth:
    ssh_private_key: ~/.ssh/my_cluster_rsa_key
    ssh_public_key: ~/.ssh/my_cluster_rsa_key.pub

Refer to example/cluster directory for more cluster configurations examples.

6. Managing clusters

CloudTik provides very powerful capability to monitor and manage the cluster.

Cluster status and information

Use the following commands to show various cluster information.

# Check cluster status with:
cloudtik status /path/to/your-cluster-config.yaml

# Show cluster summary information and useful links to connect to cluster web UI.
cloudtik info /path/to/your-cluster-config.yaml
cloudtik head-ip /path/to/your-cluster-config.yaml
cloudtik worker-ips /path/to/your-cluster-config.yaml

Attach to the cluster head (or specific node)

Connect to a terminal of cluster head node.

cloudtik attach /path/to/your-cluster-config.yaml

Execute and Submit Jobs

Execute a command via SSH on cluster head node or a specified node.

cloudtik exec /path/to/your-cluster-config.yaml [command]

Manage Files

Upload files or directories to cluster.

cloudtik rsync-up /path/to/your-cluster-config.yaml [source] [target]

Download files or directories from cluster.

cloudtik rsync-down /path/to/your-cluster-config.yaml [source] [target]

7. Tearing Down

Terminate a Cluster

Stop and delete the cluster.

cloudtik stop /path/to/your-cluster-config.yaml

Delete the Workspace

Delete the workspace and all the network resources within it.

cloudtik workspace delete /path/to/your-workspace-config.yaml

Be default, the managed cloud storage will not be deleted. Add --delete-managed-storage option to force deletion of manged cloud storage.

For more information as to the commands, you can use cloudtik --help or cloudtik [command] --help to get detailed instructions.