Creating a distributed high-availability cluster

1. Sign in to the BigAnimal portal.

2. On the Overview or Clusters page, select Create New Cluster.

3. On the Create Cluster page, start with the Cluster Info tab.

Cluster Info tab

1. Select the type of cluster to deploy.

   • Distributed High Availability creates a cluster, powered by EDB Postgres Distributed, with up to two data groups spread across multiple cloud regions to deliver higher performance and faster recovery.
     
     

   If you want to create a single-node or primary/standby high-availability cluster, follow the Single Node or Primary/Standby High Availability page.

   See Supported cluster types for more information about the different cluster types.

   Note

   You can't switch from a single-node or primary/standby high-availability cluster to a distributed high-availability cluster or vice versa.

2. Select the type of cloud account for your cluster. You can choose BigAnimal's cloud account or set up your own. For more information, see Deployment options.

   Note

   If you use BigAnimal's cloud account, your estimated cloud infrastructure costs are calculated into your cluster's estimated monthly price shown at the bottom of the page.

3. Select Next: Cluster Settings

Cluster Settings tab

1. In the Cluster Name field, enter the name for your cluster.

2. In the Password field, enter a password for your cluster. This is the password for the user edb_admin.

3. Under Tags, select +.

4. To assign an existing tag, in the search bar under Tags, enter a tag name. To add a new tag, instead select + Add Tag.

5. Select Next: Data Groups.

Data Groups Tab

1. Go to the Nodes Settings tab for the first Data Group. In the Nodes section, select Two Data Nodes or Three Data Nodes.

   For more information on node architecture, see Distributed high availability.

2. In the Provider & Region section, select the provider and region where you want to deploy your cluster.

   Tip

   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. If you're interested in deploying a cluster to a region that isn't currently available, contact Support.

3. In the Database Type section:

   1. Select the type of Postgres you want to use in the Postgres Type field:

      • EDB Postgres Advanced Server is EDB's Oracle-compatible database offering. View a quick demonstration of Oracle compatibility on BigAnimal.

      • EDB Postgres Extended Server is EDB's advanced logical replication, PostgreSQL-compatible database offering.

4. In the Postgres Version list, select 14, 15, or 16 as the version of Postgres that you want to use.

5. In the Instance Type section:

   1. Select the category that works best for your applications and workload:

      • Memory optimized for large data sets
      • Compute optimized for compute bound applications
      • General purpose if you don't require memory or compute optimization

   2. Select the instance series and size. See Sizes for virtual machines in Azure, Amazon EC2 Instance Types, or the Google Cloud Machine families resource and comparison guide for information to help you choose the appropriate instance type.

      Note

      When provisioning a cluster, some CPU and memory resources are reserved for use by BigAnimal and your cloud provider. For example, when using Kubernetes, provisioning a server with 8GB of memory yields only about 6GB of memory after accounting for the requirements of Kubernetes and BigAnimal.

      Tip

      To maximize your disk size for AWS, select R5b as your instance and then io2 Block Express as your storage to get a maximum disk size of 64 TB and 256,000 IOPS.

6. In the Storage section:

   Tip

   When choosing your storage options, for most workloads, consider using at least 20GB of storage.

   By default, the Database Storage volume stores the Postgres data and the write-ahead logs (WAL) together. If you want to improve write performance for WAL files, you can allocate separate storage volume for the WAL files. To allocate separate storage volume for WAL files, select Use a separate storage volume for Write-Ahead Logs. Then select the volume type, size, IOPS, and disk throughput separately for Database Storage and Write-Ahead Logs Storage. If you allocate separate storage volume for the WAL files, you have to pay cloud infrastructure costs for the second volume. Once separate storage volume is allocated for WAL files, you can't remove it from the cluster settings later on.

   From the Volume Type list, select your volume type.

   • For Azure, in Volume Type, select Premium SSD or Ultra Disk. Compared to Premium SSD volumes, ultra disks offer lower-latency, high-performance options and direct control over your disk's input/output operations per second (IOPS). For BigAnimal, we recommend using ultra disks for workloads that require the most demanding performance. See Using Azure ultra disks for more information.

     • For Premium SSD, in Volume Properties, select the type and amount of storage needed for your cluster. See Azure Premium SSD storage types for more information.

     • For ultra disk, in Volume Properties, select the disk size and IOPS for your cluster. BigAnimal calculates disk throughput based on your IOPS settings, but you have the option of updating the value.

       Important

       While setting the required IOPS for the disk that you selected, consider the VM limits that are tied to the VM size that you selected. See Ultra disk IOPS for more information.

   • For AWS, in Volume Type, select General Purpose SSD (GP3), io2, or io2 Block Express.

     Note

     io2 Block Express is available for selected instance types, such as R5b. However, you can't switch between io2 and io2 Block Express after creating your cluster.

     In Volume Properties, select the disk size for your cluster, and configure the IOPS.

   • For Google Cloud, in Volume Type, select SSD Persistent Disk.

     In Volume Properties, select the disk size for your cluster.

     Note

     When provisioning database storage, not all of the storage space you specify is available for holding your data. Some space is reserved for other purposes. For a full explanation of the structure of a Postgres data directory, see Database File Layout. You can make more storage space available for data if you specify separate storage for WAL.

7. In the Network, Logs, & Telemetry section:

   In Connectivity Type, specify whether to use private or public networking. Networking is set to Public by default. Public means that any client can connect to your cluster's public IP address over the internet. Optionally, you can limit traffic to your public cluster by specifying an IP allowlist, which allows access only to certain blocks of IP addresses. To limit access, add one or more classless inter-domain routing (CIDR) blocks in the IP Allowlists section. CIDR is a method for allocating IP addresses and IP routing to a whole network or subnet. If you have any CIDR block entries, access is limited to those IP addresses. If none are specified, all network traffic is allowed.

   Private networking allows only IP addresses in your private network to connect to your cluster.

   If you're using private networking and you're using BigAnimal's cloud account, you must enter your cloud service provider's account information. BigAnimal uses it to auto-approve your private endpoints and also to provide access for logging and telemetry. To enable you to create your private endpoint, BigAnimal provides you with the corresponding service name, which you can use to connect to your cluster privately.

   See Cluster networking architecture for more information.

8. In the Backups section:

   Change the default database backup retention period of 30 days using the Retention Time controls. You can configure the retention period to a number of days, weeks, or months. The retention period must be between 1-180 days, 1-25 weeks, or 1-6 months.

   BigAnimal deletes backups older than the retention period.

9. In the Maintenance section:

   The Custom Maintenance Window is enabled and set for a weekly 60-minute maintenance window in which maintenance upgrades occur for the cluster. You can change the maintenance window to a time that works best for you.

   Note

   Typically, maintenance updates take only a few minutes to complete.

   For more information, see Periodic maintenance.

10. Select Next: DB Configuration

11. In the Parameters section on the DB Configuration tab, you can update the value of the database configuration parameters for the data group as needed.

    To update the parameter values, see Modifying your database configuration parameters.

12. Select Create: Data Group. The data group preview appears.

13. To finish creating your cluster, select Create Cluster. If you want to create a second data group, select Add a Data Group.

Creating a second data group

After creating the first data group, you can create a second data group for your distributed high-availability cluster by selecting Add a Data Group before you create the cluster.

By default, the settings for your first data group populate the second data group's settings. However, you can change certain settings if you want to. Just know that your changes can change the settings for the entire cluster. That being said, the database type and cloud provider must be consistent across both data groups.

The data groups and the witness group must all be in different regions. Otherwise, you can choose the second data group's settings as needed.

When choosing the number of data nodes for the second data group, see Distributed high availability for information on node architecture.

What’s next

After you create your cluster, use these resources to learn about cluster use and management:

• Using your cluster
• Managing Postgres access

Related CLI commands

For information on related CLI commands, see:

• Managing clusters using the CLI
• PGD CLI on BigAnimal
• Maintenance windows CLI command

• On this page
• Cluster Info tab
• Cluster Settings tab
• Data Groups Tab
• Creating a second data group
• What’s next
• Related CLI commands