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AWS

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W&B recommends fully managed deployment options such as W&B SaaS Cloud or W&B Dedicated Cloud deployment types. W&B fully managed services are simple and secure to use, with minimum to no configuration required.

W&B recommends using the W&B Server AWS Terraform Module to deploy the platform on AWS.

The module documentation is extensive and contains all available options that can be used. We will cover some deployment options in this document.

Before you start, we recommend you choose one of the remote backends available for Terraform to store the State File.

The State File is the necessary resource to roll out upgrades or make changes in your deployment without recreating all components.

The Terraform Module will deploy the following mandatory components:

  • Load Balancer
  • AWS Identity & Access Management (IAM)
  • AWS Key Management System (KMS)
  • Amazon Aurora MySQL
  • Amazon VPC
  • Amazon S3
  • Amazon Route53
  • Amazon Certificate Manager (ACM)
  • Amazon Elastic Loadbalancing (ALB)
  • Amazon Secrets Manager

Other deployment options can also include the following optional components:

  • Elastic Cache for Redis
  • SQS

Pre-requisite permissions​

The account that will run the Terraform needs to be able to create all components described in the Introduction and permission to create IAM Policies and IAM Roles and assign roles to resources.

General steps​

The steps on this topic are common for any deployment option covered by this documentation.

  1. Prepare the development environment.

    • Install Terraform
    • We recommend creating a Git repository with the code that will be used, but you can keep your files locally.

  2. Create the terraform.tfvars file.

    The tvfars file content can be customized according to the installation type, but the minimum recommended will look like the example below.

    namespace                  = "wandb"
    license                    = "xxxxxxxxxxyyyyyyyyyyyzzzzzzz"
    subdomain                  = "wandb-aws"
    domain_name                = "wandb.ml"
    zone_id                    = "xxxxxxxxxxxxxxxx"
    allowed_inbound_cidr       = ["0.0.0.0/0"]
    allowed_inbound_ipv6_cidr  = ["::/0"]

    Ensure to define variables in your tvfars file before you deploy because the namespace variable is a string that prefixes all resources created by Terraform.

The combination of subdomain and domain will form the FQDN that W&B will be configured. In the example above, the W&B FQDN will be wandb-aws.wandb.ml and the DNS zone_id where the FQDN record will be created.

Both allowed_inbound_cidr and allowed_inbound_ipv6_cidr also require setting. In the module, this is a mandatory input. The proceeding example permits access from any source to the W&B installation.

  1. Create the file versions.tf

    This file will contain the Terraform and Terraform provider versions required to deploy W&B in AWS

    provider "aws" {
      region = "eu-central-1"

      default_tags {
        tags = {
          GithubRepo = "terraform-aws-wandb"
          GithubOrg  = "wandb"
          Enviroment = "Example"
          Example    = "PublicDnsExternal"
        }
      }
    }

    Please, refer to the Terraform Official Documentation to configure the AWS provider.

    Optionally, but highly recommended, you can add the remote backend configuration mentioned at the beginning of this documentation.

  2. Create the file variables.tf

    For every option configured in the terraform.tfvars Terraform requires a correspondent variable declaration.

    variable "namespace" {
      type        = string
      description = "Name prefix used for resources"
    }

    variable "domain_name" {
      type        = string
      description = "Domain name used to access instance."
    }

    variable "subdomain" {
      type        = string
      default     = null
      description = "Subdomain for accessing the Weights & Biases UI."
    }

    variable "license" {
      type = string
    }

    variable "zone_id" {
      type        = string
      description = "Domain for creating the Weights & Biases subdomain on."
    }

    variable "allowed_inbound_cidr" {
     description = "CIDRs allowed to access wandb-server."
     nullable    = false
     type        = list(string)
    }

    variable "allowed_inbound_ipv6_cidr" {
     description = "CIDRs allowed to access wandb-server."
     nullable    = false
     type        = list(string)
    }

Deployment - Recommended (~20 mins)​

This is the most straightforward deployment option configuration that will create all Mandatory components and install in the Kubernetes Cluster the latest version of W&B.

  1. Create the main.tf

    In the same directory where you created the files in the General Steps, create a file main.tf with the following content:

    module "wandb_infra" {
      source  = "wandb/wandb/aws"
      version = "~>2.0"

      namespace   = var.namespace
      domain_name = var.domain_name
      subdomain   = var.subdomain
      zone_id     = var.zone_id

      allowed_inbound_cidr           = var.allowed_inbound_cidr
      allowed_inbound_ipv6_cidr      = var.allowed_inbound_ipv6_cidr

      public_access                  = true
      external_dns                   = true
      kubernetes_public_access       = true
      kubernetes_public_access_cidrs = ["0.0.0.0/0"]
    }

    data "aws_eks_cluster" "app_cluster" {
      name = module.wandb_infra.cluster_id
    }

    data "aws_eks_cluster_auth" "app_cluster" {
      name = module.wandb_infra.cluster_id
    }

    provider "kubernetes" {
      host                   = data.aws_eks_cluster.app_cluster.endpoint
      cluster_ca_certificate = base64decode(data.aws_eks_cluster.app_cluster.certificate_authority.0.data)
      token                  = data.aws_eks_cluster_auth.app_cluster.token
    }

    module "wandb_app" {
      source  = "wandb/wandb/kubernetes"
      version = "~>1.0"

      license                    = var.license
      host                       = module.wandb_infra.url
      bucket                     = "s3://${module.wandb_infra.bucket_name}"
      bucket_aws_region          = module.wandb_infra.bucket_region
      bucket_queue               = "internal://"
      database_connection_string = "mysql://${module.wandb_infra.database_connection_string}"

      # If we dont wait, tf will start trying to deploy while the work group is
      # still spinning up
      depends_on = [module.wandb_infra]
    }

    output "bucket_name" {
      value = module.wandb_infra.bucket_name
    }

    output "url" {
      value = module.wandb_infra.url
    }

  2. Deploy W&B

    To deploy W&B, execute the following commands:

    terraform init
    terraform apply -var-file=terraform.tfvars

Enable REDIS​

Another deployment option uses Redis to cache the SQL queries and speed up the application response when loading the metrics for the experiments.

You need to add the option create_elasticache_subnet = true to the same main.tf file we worked on in Recommended Deployment to enable the cache.

module "wandb_infra" {
  source  = "wandb/wandb/aws"
  version = "~>2.0"

  namespace   = var.namespace
  domain_name = var.domain_name
  subdomain   = var.subdomain
  zone_id     = var.zone_id
    **create_elasticache_subnet = true**
}
[...]

Enable message broker (queue)​

Deployment option 3 consists of enabling the external message broker. This is optional because the W&B brings embedded a broker. This option doesn't bring a performance improvement.

The AWS resource that provides the message broker is the SQS, and to enable it, you will need to add the option use_internal_queue = false to the same main.tf that we worked on the Recommended Deployment

module "wandb_infra" {
  source  = "wandb/wandb/aws"
  version = "~>2.0"

  namespace   = var.namespace
  domain_name = var.domain_name
  subdomain   = var.subdomain
  zone_id     = var.zone_id
  **use_internal_queue = false**

[...]
}

Other deployment options​

You can combine all three deployment options adding all configurations to the same file. The Terraform Module provides several options that can be combined along with the standard options and the minimal configuration found in Deployment - Recommended

Manual configuration​

To use an Amazon S3 bucket as a file storage backend for W&B, you will need to:

you'll need to create a bucket, along with an SQS queue configured to receive object creation notifications from that bucket. Your instance will need permissions to read from this queue.

Create an S3 Bucket and Bucket Notifications​

Follow the procedure bellow to create an Amazon S3 bucket and enable bucket notifications.

  1. Navigate to Amazon S3 in the AWS Console.
  2. Select Create bucket.
  3. Within the Advanced settings, select Add notification within the Events section.
  4. Configure all object creation events to be sent to the SQS Queue you configured earlier.

Enterprise file storage settings

Enable CORS access. Your CORS configuration should look like the following:

<?xml version="1.0" encoding="UTF-8"?>
<CORSConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/">
<CORSRule>
    <AllowedOrigin>http://YOUR-W&B-SERVER-IP</AllowedOrigin>
    <AllowedMethod>GET</AllowedMethod>
    <AllowedMethod>PUT</AllowedMethod>
    <AllowedHeader>*</AllowedHeader>
</CORSRule>
</CORSConfiguration>

Create an SQS Queue​

Follow the procedure below to create an SQS Queue:

  1. Navigate to Amazon SQS in the AWS Console.
  2. Select Create queue.
  3. From the Details section, select a Standard queue type.
  4. Within the Access policy section, add permission to the following principals:
  • SendMessage
  • ReceiveMessage
  • ChangeMessageVisibility
  • DeleteMessage
  • GetQueueUrl

Optionally add an advanced access policy in the Access Policy section. For example, the policy for accessing Amazon SQS with a statement is as follows:

{
    "Version" : "2012-10-17",
    "Statement" : [
      {
        "Effect" : "Allow",
        "Principal" : "*",
        "Action" : ["sqs:SendMessage"],
        "Resource" : "<sqs-queue-arn>",
        "Condition" : {
          "ArnEquals" : { "aws:SourceArn" : "<s3-bucket-arn>" }
        }
      }
    ]
}

Grant Permissions to Node Running W&B​

The node where W&B server is running must be configured to permit access to Amazon S3 and Amazon SQS. Depending on the type of server deployment you have opted for, you may need to add the following policy statements to your node role:

{
   "Statement":[
      {
         "Sid":"",
         "Effect":"Allow",
         "Action":"s3:*",
         "Resource":"arn:aws:s3:::<WANDB_BUCKET>"
      },
      {
         "Sid":"",
         "Effect":"Allow",
         "Action":[
            "sqs:*"
         ],
         "Resource":"arn:aws:sqs:<REGION>:<ACCOUNT>:<WANDB_QUEUE>"
      }
   ]
}

Configure W&B server​

Finally, configure your W&B Server.

  1. Navigate to the W&B settings page at http(s)://YOUR-W&B-SERVER-HOST/system-admin.
  2. Enable the **Use an external file storage backend option/
  3. Provide information about your Amazon S3 bucket, region, and Amazon SQS queue in the following format:
  • File Storage Bucket: s3://<bucket-name>
  • File Storage Region (AWS only): <region>
  • Notification Subscription: sqs://<queue-name>

  1. Select Update settings to apply the new settings.

Upgrade your W&B version​

Follow the steps outlined here to update W&B:

  1. Add wandb_version to your configuration in your wandb_app module. Provide the version of W&B you want to upgrade to. For example, the following line specifies W&B version 0.48.1:

    module "wandb_app" {
        source  = "wandb/wandb/kubernetes"
        version = "~>1.0"

        license       = var.license
        wandb_version = "0.48.1"
    info

    Alternatively, you can add the wandb_version to the terraform.tfvars and create a variable with the same name and instead of using the literal value, use the var.wandb_version

  2. After you update your configuration, complete the steps described in the Deployment section.

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