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Cloud Service - Removing - Cloud Service Hosted docs
Under Cloud Service, the following topics are edited - index.mdx - Planning - your cloud account WIP Creating a Cluster -
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advocacy_docs/edb-postgres-ai/cloud-service/getting_started/creating_cluster/creating_a_cluster.mdx

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@@ -72,19 +72,14 @@ The following options aren't available when creating your cluster:
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2. Select the number of standby replicas for your primary/standby high-availability cluster.
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3. Select the type of cloud account for your cluster. You can choose EDB Hosted Cloud Service or Your Cloud Account. For more information, see [Deployment options](/edb-postgres-ai/cloud-service/getting_started/planning/choosing_your_deployment/).
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!!! Note
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If you use EDB Hosted Cloud Service, your estimated cloud infrastructure costs are calculated into your cluster's estimated monthly price shown at the bottom of the page.
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4. Select the cloud provider and region for your cluster. If you're using your account and haven't connected it to EDB Postgres AI Console yet, see [Connecting to your cloud](/edb-postgres-ai/cloud-service/getting_started/your_cloud_account/connecting_to_your_cloud/).
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3. Select the cloud provider and region for your cluster. If you're using your account and haven't connected it to EDB Postgres AI Console yet, see [Connecting to your cloud](/edb-postgres-ai/cloud-service/getting_started/your_cloud_account/connecting_to_your_cloud/).
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!!! Tip
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For the best performance, we strongly recommend that this region be the same as your other resources that communicate with your cluster. For a list of available regions, see [Supported regions](/edb-postgres-ai/cloud-service/references/supported_regions/). If you're interested in deploying a cluster to a region that isn't currently available, contact [Support](/edb-postgres-ai/cloud-service/support_services/).
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5. Select **Next: Cluster Settings** to continue to specify the required settings for your cluster.
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4. Select **Next: Cluster Settings** to continue to specify the required settings for your cluster.
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## Cluster Settings tab
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2. In the **Postgres Version** list, select the version of Postgres that you want to use. See [Database version policy](/edb-postgres-ai/cloud-service/references/supported_database_versions/) for more information.
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6. In the **Instance Type** section:
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6. In the **Instance Size** section:
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1. Select the category that works best for your applications and workload:
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advocacy_docs/edb-postgres-ai/cloud-service/getting_started/index.mdx

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indexCards: simple
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description: High-level description of the tasks needed to get started with EDB Postgres AI Cloud Service.
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navigation:
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- overview
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- planning
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- your_cloud_account
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- creating_cluster
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- /biganimal/latest/getting_started/overview/
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---
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EDB Postgres AI Cloud Service provides hosted and managed Postgres database clusters within the EDB Postgres AI platform.
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EDB Postgres AI Cloud Service provides managed Postgres database clusters within the EDB Postgres AI platform.
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## Get an EDB Account
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To get started with EDB Postgres AI Cloud Service databases you will need an EDB Postgres AI account.
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Create an EDB account. For more information, see [Create an EDB account](../../console/using/introduction/#accessing-the-edb-postgres-ai-console). After setting up the account, you can access all of the features and capabilities of the EDB Postgres AI console.
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EDB Postgres AI Cloud Service can host your database for you on AWS, GCP, or Azure managing the infrastructure and billing in one place - this is using EDB Hosted Cloud Service - or you can use your own cloud account to have databases deployed into your own cloud - this is using Your Cloud Account.
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With EDB Postgres AI Cloud Service, you can use your own cloud account to have databases deployed into your own cloud and manage by EDB.
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If you want to use your cloud account, go to our [Getting Started with your cloud account](your_cloud_account/getting_started_with_your_cloud_account) section which covers the steps needed to prepare your cloud account for Cloud Service clusters.
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For the rest of this Getting Started section, we will use EDB Hosted Cloud Service databases, because they are easy to deploy and do not require any management work on the cloud provider. The same steps apply to both EDB Hosted and Your Cloud Account databases.
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For more information to use your cloud account, go to our [Getting Started with your cloud account](your_cloud_account/getting_started_with_your_cloud_account) section which covers the steps needed to prepare your cloud account for Cloud Service clusters.
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## Creating a database cluster
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advocacy_docs/edb-postgres-ai/cloud-service/getting_started/planning/choosing_your_deployment/edb_hosted_cloud_service.mdx

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advocacy_docs/edb-postgres-ai/cloud-service/getting_started/planning/choosing_your_deployment/index.mdx

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advocacy_docs/edb-postgres-ai/cloud-service/getting_started/planning/index.mdx

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indexCards: simple
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description: To manage your databases, plan and choose your deployment, cluster type and EDB Postgres database.
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navigation:
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- choosing_your_deployment
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- your_cloud_account
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- choosing_cluster_type
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- choosing_postgres_distro
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redirects:
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---
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navTitle: Your Cloud Account
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title: Choosing Your Cloud Account
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navTitle: Deploying with Your Cloud Account
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title: Deploying with Your Cloud Account
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description: "EDB Postgres AI Cloud Service is able to manage an EDB Postgres database in your cloud."
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---
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To deploy database clusters with Your Cloud Account:
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- Understand what it means to use [Your Cloud Account](#your-cloud-account).
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- Understand the requirements of [deploying a cluster with Your Cloud Account](#deploying-a-cluster-with-your-cloud-account).
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- To learn about the pricing, see [Pricing and billing](/edb-postgres-ai/cloud-service/references/pricing_and_billing/).
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## Your Cloud Account
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advocacy_docs/edb-postgres-ai/cloud-service/getting_started/your_cloud_account/connecting_to_your_cloud/index.mdx

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- /biganimal/latest/getting_started/02_connecting_to_your_cloud/ #generated for BigAnimal URL path removal branch
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---
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Use these techniques to connect your cloud if you're using Your Cloud Account as your [deployment option](/edb-postgres-ai/cloud-service/getting_started/planning/choosing_your_deployment/).
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Use these techniques to connect to your cloud account.
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## Cloud Service access requirements
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1. Open your cloud provider shell in your browser.
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2. Create a BigAnimal CLI credential:
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2. Create a Cloud Service CLI credential:
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```shell
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biganimal credential create --name <cred>

advocacy_docs/edb-postgres-ai/cloud-service/getting_started/your_cloud_account/preparing_cloud_account/index.mdx

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- preparing_gcp
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When using Your Cloud Account, each time you create a cluster, you must ensure the readiness of your cloud to work with EDB Postgres AI. You need to perform this check only if you're not using EDB's Cloud Service as your [deployment option](/edb-postgres-ai/cloud-service/getting_started/planning/choosing_your_deployment/).
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When using Your Cloud Account, each time you create a cluster, you must ensure the readiness of your cloud to work with EDB Postgres AI.

advocacy_docs/edb-postgres-ai/cloud-service/getting_started/your_cloud_account/preparing_cloud_account/preparing_aws.mdx

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- arn:aws:iam::aws:policy/ServiceQuotasFullAccess
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EDB Postgres AI Cloud Service requires you to check the readiness of your AWS account before you deploy your clusters. (You don't need to perform this check if you're using the EDB Hosted Cloud Service as your [deployment option](/edb-postgres-ai/cloud-service/getting_started/planning/choosing_your_deployment/).) The checks that you perform ensure that your AWS account is prepared to meet your clusters' requirements and resource limits, such as:
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EDB Postgres AI Cloud Service requires you to check the readiness of your AWS account before you deploy your clusters. The checks that you perform ensure that your AWS account is prepared to meet your clusters' requirements and resource limits, such as:
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- Is the AWS CLI configured to access your AWS account?
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- Is there a sufficient limit on the number of vCPUs and Network Load Balancers (NLBs) left in your region?

advocacy_docs/edb-postgres-ai/cloud-service/getting_started/your_cloud_account/preparing_cloud_account/preparing_azure/01_understanding_qotas_in_azure.mdx

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- /biganimal/latest/getting_started/preparing_cloud_account/01_preparing_azure/01_understanding_qotas_in_azure/ #generated for BigAnimal URL path removal branch
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Follow these Cloud Service requirements and recommended resource limits in Azure.
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Follow these EDB Postgres AI Cloud Service requirements and recommended resource limits in Azure.
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## Azure resource provider registrations
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Cloud Service creates and manages some of the resources using resource providers. For example, if you want to store keys, you need the Microsoft.KeyVault resource provider. This resource provider offers a resource type called *vaults* for creating the key vault. For more information, see [Azure resource providers and types](https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/resource-providers-and-types).
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EDB Postgres AI Cloud Service creates and manages some of the resources using resource providers. For example, if you want to store keys, you need the Microsoft.KeyVault resource provider. This resource provider offers a resource type called *vaults* for creating the key vault. For more information, see [Azure resource providers and types](https://docs.microsoft.com/en-us/azure/azure-resource-manager/management/resource-providers-and-types).
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To prevent failures while creating your clusters, ensure that each of the following Azure resource providers are registered in your Azure subscription.
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## Public IP addresses limits
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Every cloud service cluster with public network access is assigned a single public IP address, and this IP address counts against the quota for both basic and standard IP address types in a region. Cloud Service can't create more clusters if the IP address limit is reached.
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Every Cloud Service cluster with public network access is assigned a single public IP address, and this IP address counts against the quota for both basic and standard IP address types in a region. Cloud Service can't create more clusters if the IP address limit is reached.
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### Recommended limit
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- A cluster running on an E{N}sv3 instance without HA enabled uses exactly {N} ESv3 cores.
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Cloud Service requires an additional eight Dv4 virtual machine cores per region for management resources.
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EDB Postgres AI Cloud Service requires an additional eight Dv4 virtual machine cores per region for management resources.
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Cloud Service requires an additional six Dv4 virtual machine cores per region for periodic maintenance upgrades.
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EDB Postgres AI Cloud Service requires an additional six Dv4 virtual machine cores per region for periodic maintenance upgrades.
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### Recommended limits
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Cloud Service recommends the following per region when requesting virtual machine resource limit increases:
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EDB Postgres AI Cloud Service recommends the following per region when requesting virtual machine resource limit increases:
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- Total Regional vCPUs: minimum of 50 per designated region
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- Standard Dv4 Family vCPUs: minimum of 14 per designated region

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