Scaling disk, RAM, and CPU
The Shared Compute hosting model supports more fine-grained resource allocations that are not shown in the UI to maintain clarity. For more information, see Hosting models.
To scale an Isolated Compute host flavor instance, set the relevant hostflavor
parameter to the Isolated Compute
size you're targeting, such as "b3c.4x16.encrypted". As this includes CPU and RAM allocation selections, do not separately select CPU and RAM.
To scale a Shared Compute host flavor instance between the minimum CPU value and 2 CPU, set the CPU to 0 and scale
the RAM allocation using the following commands in this documentation. The CPU value will scale as a ratio of 1 CPU : 8 GB RAM, up to 2 CPU. To scale above 2 CPU, set the CPU and RAM allocations to your target allocation. For both, make sure
to include the relevant hostflavor
parameter of "multitenant".
To scale an Isolated Compute host flavor instance, set the relevant host_flavor
parameter to the Isolated
Compute size you're targeting, such as "b3c.4x16.encrypted". As this includes CPU and RAM allocation selections, do not separately select CPU and RAM.
To scale a Shared Compute host flavor instance between the minimum CPU value and 2 CPU, set the CPU to 0 and scale
the RAM allocation using the following commands. The CPU value will scale as a ratio of 1 CPU : 8 GB RAM, up to 2 CPU. To scale above 2 CPU, set the CPU and RAM allocations to your target allocation. For both, make sure to include the relevant
host_flavor
parameter of "multitenant".
To scale an Isolated Compute host flavor instance, set the relevant host_flavor
parameter
to the Isolated Compute size you're targeting, such as "b3c.4x16.encrypted". As this includes CPU and RAM allocation selections, do not separately select CPU and RAM.
To scale a Shared Compute host flavor instance between the minimum CPU value and 2 CPU, set the CPU to
0 and scale the RAM allocation using the following commands. The CPU value will scale as a ratio of 1 CPU : 8 GB RAM, up to 2 CPU. To scale above 2 CPU, set the CPU and RAM allocations to your target allocation. For both, make sure to include
the relevant host_flavor
parameter of "multitenant".
You can manually adjust the amount of resources available to your IBM Cloud® Databases for MySQL deployment to suit your workload and the size of your data.
Resource breakdown
Databases for MySQL deployments have three data members in a cluster, and resources are allocated to members equally. For example, the minimum storage of a MySQL deployment is 20,480 MB, which equates to an initial size of 6,826 MB per member. The minimum RAM for a MySQL deployment is 3072 MB, which equates to an initial allocation of 1024 MB per member.
Billing is based on the total amount of resources that are allocated to the service.
Disk
Your disk allocation must be enough to store all of your data. Your data is replicated to all data members so the total amount of disk that you use is at least three times the size of your data set.
Disk allocation also affects the performance of the disk, with larger disks having higher performance. Baseline input/output operations per second (IOPS) performance for disk is 10 IOPS for each GB. Scale disk to increase the IOPS that your deployment can handle.
You cannot scale down storage.
RAM
If you find that your deployment is suffering from performance issues due to a lack of memory, you can scale the amount of RAM allocated to it. Your disk allocation must be sufficient to store all your data, which is replicated to all data members, so the total amount of disk you use is at least three times the size of your data set. The amount of memory allocated to the database's shared buffer pool is not adjusted automatically when you scale your deployment. It's recommended to be set to 25% of the deployment's total memory.
vCPU
If you find that your database workloads need more CPU resources, you can scale the amount of CPU allocated to your service. If your database instance is on an Isolated Compute hosting model, select the CPU x RAM configuration that matches your resource needs. If your database instance is on a Shared Compute or Dedicated Core hosting model, select the CPU allocation that you want for your database.
Old style dedicated core instances are deprecated, and will be removed in May 2025. Learn more about the new hosting models here.
Scaling considerations
-
Scaling your deployment up might cause your databases to restart. If you scale RAM or CPU and your deployment needs to be moved to a host with more capacity, then the databases are restarted as part of the move.
-
Scaling down RAM or CPU does not trigger database restarts.
-
Disk cannot be scaled down.
-
Scaling between hosting models (Shared Compute, Isolated Compute, and Dedicated Cores) moves your deployment to new hosts. Your databases are restarted as part of that move. As your deployment is moved to a new host, this can also take longer than just adding more resources. For more information, see Shared Compute and Isolated Compute.
-
Similarly, drastically increasing RAM or Disk can take longer than smaller increases to account for provisioning more underlying hardware resources.
-
Scaling operations are logged in IBM Cloud® Activity Tracker Event Routing.
-
If you find consistent trends in resource usage or would like to set up scaling when certain resource thresholds are reached, check out enabling autoscaling on your deployment.
Review current resources and hosting model
In the Resources tab, you find the Hosting model and Resource allocations tiles. These tiles reflect your current resources and hosting model. Select Configure to adjust the settings in each tile.
Scaling in the UI
In the Resources tab of the UI, select Configure on the Resource allocations tile. This opens up a panel where you can adjust your resources.
If your database is on the Isolated Compute hosting model, you will then see a "Host sizes" table, where you can select the vCPU and RAM configuration per member for your database.
If you are on the Shared Compute hosting model, you see the Small configuration, providing 0.5 vCPU and 4 GB RAM per member; the Small Custom option; or Custom configuration. Small Custom indicates that your database was scaled with the CLI, API, or Terraform, which provides more fine-grained resource scaling, along with an option for automatically allocated vCPU pro-rated against RAM value. On the UI, you can scale to Small and Custom, but are not able to scale to the fine-grained values provided by the CLI, API, or Terraform. With Custom, drag the slider or adjust the value in the input box to select your database's per member vCPU and RAM values.
The "Disk (GB/member)" slider is your disk selection per member. Drag the slider or adjust the number in the input box to change the number of GB disk. Note that Disk is tied to IOPS at 1 GB = 10 IOPS.
Members is the number of members of your database. For MySQL, members are set to 3.
Review your total estimated cost in the calculator on the bottom. Note that if you have grandfathered costs, also known as legacy pricing structure, scaling your database instance removes some or all of your legacy pricing. For more information on grandfathering and when it ends, see the Hosting models transition timeline.
Click Apply changes to trigger this scaling operation.
Switch to and between hosting models in the UI
In the Resources tab of the UI, select Configure on the Hosting model tile. This opens up a panel where you can adjust your hosting model selection.
The first option available is Select your hosting model. Here, you can switch to a different hosting model.
Below, you will see the options to also adjust the resources of the new hosting model you've selected. Follow the instructions in the previous section, "Scaling in the UI" to adjust your resources.
Click Apply changes to trigger this scaling operation.
Review current resources and hosting model
The Cloud Databases CLI plug-in supports viewing and scaling the resources on your deployment. To scale any of the available resource groups, use cdb deployment-groups-set
command.
For example, with the following command you can view the resource groups for a deployment named "example-deployment". Note that this command will also reveal if your database is a Shared Compute or Isolated Compute instance through the hostflavor
attribute. If the hostflavor
is null, it
is on an old style hosting model.
ibmcloud cdb deployment-groups example-deployment
The command produces the following output:
Group member
Count 3
|
+ Memory
| Allocation 3072mb
| Allocation per member 1024mb
| Minimum 1024mb
| Step Size 256mb
| Adjustable true
| Cpu Enforcement Ratio Ceiling 49152mb
| Cpu Enforcement Ratio 8192mb
|
+ CPU
| Allocation 6
| Allocation per member 3
| Minimum 6
| Step Size 2
| Adjustable true
|
+ HostFlavor
| ID multitenant
| Name
| HostingSize
|
+ Disk
| Allocation 15360mb
| Allocation per member 5120mb
| Minimum 15360mb
| Step Size 15360mb
| Adjustable true
The deployment has three members, with 3072 MB of RAM and 15360 MB of disk allocated in total. The "per member" allocation is 1024 MB of RAM and 5120 MB of disk. The minimum value is the lowest the total allocation can be set. The step size is the smallest amount by which the total allocation can be adjusted.
Resources and scaling in the CLI
The cdb deployment-groups-set
command allows either the total RAM or total disk allocation to be set in MB. For example, to scale the memory of the "example-deployment" to 4096 MB of RAM for each memory member (for a total
memory of 12288 MB), you use the command:
ibmcloud cdb deployment-groups-set example-deployment member --memory 12288
Determine the hosting model of your database
Use the following command to review the value of the hostflavor
attribute. This will be null if the database is on a deprecated hosting model (not Shared or Isolated Compute).
ibmcloud cdb groups <deployment_id> --json
Switching to and between hosting models in the CLI
If your database is a Shared Compute instance, you can adjust the memory, CPU, and disk options with the following command. If your database is not on Shared Compute, this command will also move a database from a different hosting model to the Shared Compute hosting model.
ibmcloud cdb deployment-groups-set <deploymentid> <groupid> [--memory <val>] [--cpu <val>] [--disk <val>] [--hostflavor multitenant]
For example, use the following to scale to a Shared Compute instance or scale up your Shared Compute instance:
ibmcloud cdb deployment-groups-set crn:abc ... xyz:: member --memory 24576 --cpu 6 --hostflavor multitenant
If your database is an Isolated Compute instance, memory and CPU are adjusted together by selecting the Isolated Compute size (see all sizes in Table 1). Disk is scaled separately. If your database is not on Isolated Compute, this command will also move a database from a different hosting model to the Isolated Compute hosting model.
Note that since the host flavor selection includes CPU and RAM sizes (b3c.4x16.encrypted
is 4 CPU and 16 RAM), this request does not accept both an Isolated size selection and separate CPU and RAM allocation selections.
ibmcloud cdb deployment-groups-set <deploymentid> <groupid> [--disk <val>] [--hostflavor <hostflavor>]
For example, use the following to scale to an Isolated Compute instance or scale up your Isolated Compute instance:
ibmcloud cdb deployment-groups-set crn:abc ... xyz:: member --hostflavor b3c.8x32.encrypted
The hostflavor
parameter
The hostflavor
parameter defines your compute sizing. To provision a Shared Compute instance, specify multitenant
. To provision an Isolated Compute instance, input the appropriate value for your desired CPU and RAM
configuration.
Host flavor | hostflavor value |
---|---|
Shared Compute | multitenant |
4 CPU x 16 RAM | b3c.4x16.encrypted |
8 CPU x 32 RAM | b3c.8x32.encrypted |
8 CPU x 64 RAM | m3c.8x64.encrypted |
16 CPU x 64 RAM | b3c.16x64.encrypted |
32 CPU x 128 RAM | b3c.32x128.encrypted |
30 CPU x 240 RAM | m3c.30x240.encrypted |
Review current resources and hosting model
The Foundation Endpoint shown on the Overview panel Deployment details of your service provides the base URL to access this deployment through the API. Use it with the /groups
endpoint if you need to manage
or automate scaling programmatically.
To view the current and scalable resources on a deployment, use the /deployments/{id}/groups endpoint. Note that this command
will also reveal if your database is a Shared Compute or Isolated Compute instance through the host_flavor
attribute. If the host_flavor
is null, it is on an old style hosting model.
curl -X GET -H "Authorization: Bearer $APIKEY" 'https://api.{region}.databases.cloud.ibm.com/v5/ibm/deployments/{id}/groups'
To scale the memory of a deployment to 4096 MB of RAM for each memory member (for a total memory of 12288 MB), use the following command:
curl -X PATCH 'https://api.{region}.databases.cloud.ibm.com/v5/ibm/deployments/{id}/groups/member' \
-H "Authorization: Bearer $APIKEY" \
-H "Content-Type: application/json" \
-d '{"memory": {
"allocation_mb": 12288
}
}'
For more information, see the API reference.
Determine the hosting model of your database
Use the following command to review the value of the host_flavor
attribute. This will be null if the database is on a deprecated hosting model (not Shared or Isolated Compute).
curl -X GET https://api.{region}.databases.cloud.ibm.com/v5/ibm/deployments/{id}/groups
-H 'Authorization: Bearer <>' \
Switching to and between hosting models in the API
To scale any Cloud Databases Shared Compute instance, use the the following command, setting host_flavor
to multitenant
. If your database is not on Shared Compute, this command will also move a database from a different
hosting model to the Shared Compute hosting model.
curl -X PATCH https://api.{region}.databases.cloud.ibm.com/v5/ibm/deployments/{id}/groups/member
-H 'Authorization: Bearer <>'
-H 'Content-Type: application/json'
-d '{"host_flavor": {"id": "multitenant"},
"cpu": {"allocation_count": 3},
"memory": {"allocation_mb": 12288}
}' \
To scale any instance into a Cloud Databases Isolated Compute instance or to scale to a different Isolated Compute size, use the host_flavor
parameter, this time set to the desired Isolated Compute size. Available hosting sizes
and their host_flavor
value parameters are listed in Table 1. For example, {"host_flavor": "b3c.4x16.encrypted"}
. Note that since the host flavor selection
includes CPU and RAM sizes (b3c.4x16.encrypted
is 4 CPU and 16 RAM), this request does not accept both, an Isolated size selection and separate CPU and RAM allocation selections. Scale with the Cloud Databases API scaling endpoint, with a command like:
curl -X PATCH https://api.{region}.databases.cloud.ibm.com/v5/ibm/deployments/{id}/groups/member
-H 'Authorization: Bearer <>'
-H 'Content-Type: application/json'
-d '{"host_flavor": {"id": "b3c.4x16.encrypted"}}' \
CPU and RAM allocation is not allowed when provisioning or scaling through Isolated Compute. Specify mulitenant
for the host_flavor
parameter to have independent CPU and RAM selections.
CPU and RAM autoscaling is not supported on Cloud Databases Isolated Compute. Disk autoscaling is available. If you have provisioned an Isolated instance or switched over from a deployment with autoscaling, keep an eye on your resources using IBM Cloud® Monitoring integration, which provides metrics for memory, disk space, and disk I/O utilization. To add resources to your instance, manually scale your deployment.
The host flavor
parameter
The host_flavor
parameter defines your compute sizing. To provision a Shared Compute instance, specify multitenant
. To provision an Isolated Compute instance, input the appropriate value for your desired CPU and RAM
configuration.
Host flavor | host_flavor value |
---|---|
Shared Compute | multitenant |
4 CPU x 16 RAM | b3c.4x16.encrypted |
8 CPU x 32 RAM | b3c.8x32.encrypted |
8 CPU x 64 RAM | m3c.8x64.encrypted |
16 CPU x 64 RAM | b3c.16x64.encrypted |
32 CPU x 128 RAM | b3c.32x128.encrypted |
30 CPU x 240 RAM | m3c.30x240.encrypted |
Review current resources and hosting model
Review resource allocations to your database by checking your terraform scripts for cpu { allocation_count = }
, memory {allocation_mb = }
, and disk { allocation_mb = }
. Review the host_flavor
setting to determine if your database is a Shared Compute or Isolated Compute style hosting model. If host_flavor
does not exist, your database is on an old style hosting model.
Scaling with Terraform
Before executing a Terraform script on an existing instance, use the terraform plan
command to compare the current infrastructure state with the desired state defined in your Terraform files. Any alteration to the resource_group_id
,
service plan
, version
, key_protect_instance
, key_protect_key
, backup_encryption_key_crn
attributes recreates your instance. For a list of current argument references with the
Forces new resource
specification, see the ibm_database Terraform Registry.
Scale your instance by adjusting your Terraform script for the resource you're interested in. In the following example, cpu
, memory
, and disk
allocations are specified. Note that if you have a host flavor
selected (Isolated Compute or Shared Compute Multitenant), keep the host flavor selection in your script.
To implement your change, run terraform apply
.
data "ibm_resource_group" "group" {
name = "<your_group>"
}
resource "ibm_database" "<your_database>" {
name = "<your_database_name>"
plan = "standard"
location = "eu-gb"
service = "databases-for-mysql"
resource_group_id = data.ibm_resource_group.group.id
tags = ["tag1", "tag2"]
adminpassword = "password12"
group {
group_id = "member"
cpu {
allocation_count = 6
}
memory {
allocation_mb = 24576
}
disk {
allocation_mb = 256000
}
}
users {
name = "user123"
password = "password12"
}
allowlist {
address = "172.168.1.1/32"
description = "desc"
}
}
output "ICD MySQL database connection string" {
value = "http://${ibm_database.test_acc.ibm_database_connection.icd_conn}"
}
Switching to and scaling hosting models in Terraform
Select the hosting model you want your database to be scaled to. You can change this later.
To scale your Databases for MySQL instance to the Shared Compute hosting flavor, set the "host_flavor"
parameter to multitenant
. This works if you want to scale to the Shared Compute hosting flavor, or if
you want to keep the host flavor and scale your resources. To implement your change, run terraform apply
.
See the following example:
data "ibm_resource_group" "group" {
name = "<your_group>"
}
resource "ibm_database" "<your_database>" {
name = "<your_database_name>"
plan = "standard"
location = "eu-gb"
service = "databases-for-mysql"
resource_group_id = data.ibm_resource_group.group.id
tags = ["tag1", "tag2"]
adminpassword = "password12"
group {
group_id = "member"
host_flavor {
id = "multitenant"
},
cpu {
allocation_count = 6
}
memory {
allocation_mb = 24576
}
disk {
allocation_mb = 256000
}
}
users {
name = "user123"
password = "password12"
}
allowlist {
address = "172.168.1.1/32"
description = "desc"
}
}
output "ICD MySQL database connection string" {
value = "http://${ibm_database.test_acc.ibm_database_connection.icd_conn}"
}
Scale your Databases for MySQL instance to Isolated Compute with the same "host_flavor"
parameter, set to the desired Isolated size. This command works to scale your database instance to a different Isolated Compute size,
as well as to move from another host flavor to the Isolated Compute host flavor. Available hosting sizes and their host_flavor value
parameters are listed in Table 1. For example,
{"host_flavor": "b3c.4x16.encrypted"}
. Note that since the host flavor selection includes CPU and RAM sizes (b3c.4x16.encrypted
is 4 CPU and 16 RAM), this request does not accept both an Isolated
size selection and separate CPU and RAM allocation selections.
To implement your change, run terraform apply
.
data "ibm_resource_group" "group" {
name = "<your_group>"
}
resource "ibm_database" "<your_database>" {
name = "<your_database_name>"
plan = "standard"
location = "eu-gb"
service = "databases-for-mysql"
resource_group_id = data.ibm_resource_group.group.id
tags = ["tag1", "tag2"]
adminpassword = "password12"
group {
group_id = "member"
host_flavor {
id = "b3c.8x32.encrypted"
}
disk {
allocation_mb = 256000
}
}
users {
name = "user123"
password = "password12"
}
allowlist {
address = "172.168.1.1/32"
description = "desc"
}
}
output "ICD MySQL database connection string" {
value = "http://${ibm_database.test_acc.ibm_database_connection.icd_conn}"
}