PostgreSQL host classes before June 20, 2023
The host class determines the computing power allocated for each host in a cluster. When you change the host class for a cluster, all existing hosts change accordingly.
The host class also determines which disk types are available:
- s1, s2, m2:
network-ssd
,network-hdd
,local-ssd
,network-ssd-nonreplicated
. - c3, s3, m3:
network-ssd
,network-hdd
,network-ssd-nonreplicated
. - b1, b2:
network-ssd
,network-hdd
.
The available storage size does not depend on the host class. For more information on storage limitations, see Quotas and limits.
Available host classes
Hosts in Managed Service for PostgreSQL clusters are deployed on Yandex Compute Cloud VMs. You can create these VMs on any platforms Compute Cloud supports. See Platforms for a detailed description.
The full list of possible host configurations on each platform is provided below.
Configuration types:
-
s1, s2, s3: Standard configurations with a 4:1 RAM GB to vCPU ratio.
-
m2, m3: Configurations with an increased RAM GB to vCPU ratio (8:1). These configurations may be useful for clusters with higher cache requirements.
-
c3: Configurations with a reduced RAM GB to vCPU ratio (2:1). These configurations may be useful for clusters with higher processor performance requirements.
-
b1, b2: Сonfigurations with a guaranteed vCPU share under 100%. This host class is intended for test load, while the minimum recommended host configuration for production solutions is two vCPUs with a guaranteed share of 50%.
Note
Hosts with a guaranteed vCPU share under 50% cannot be used in multi-host clusters.
Host class name | Number of CPUs | CPU performance | RAM, GB | Disk size, GB |
---|---|---|---|---|
Intel Broadwell | ||||
b1.nano | 2 | 5% | 2 | 10 - 25 |
b1.micro | 2 | 20% | 2 | 10 - 50 |
b1.medium | 2 | 50% | 4 | 10 - 512 |
s1.micro | 2 | 100% | 8 | 10 - 10230 |
s1.small | 4 | 100% | 16 | 10 - 10230 |
s1.medium | 8 | 100% | 32 | 10 - 10230 |
s1.large | 16 | 100% | 64 | 10 - 10230 |
s1.xlarge | 32 | 100% | 128 | 10 - 10230 |
Intel Cascade Lake | ||||
b2.nano | 2 | 5% | 2 | 10 - 25 |
b2.micro | 2 | 20% | 2 | 10 - 50 |
b2.medium | 2 | 50% | 4 | 10 - 512 |
m2.micro | 2 | 100% | 16 | 10 - 10230 |
m2.small | 4 | 100% | 32 | 10 - 10230 |
m2.medium | 6 | 100% | 48 | 10 - 10230 |
m2.large | 8 | 100% | 64 | 10 - 10230 |
m2.xlarge | 12 | 100% | 96 | 10 - 10230 |
m2.2xlarge | 16 | 100% | 128 | 10 - 10230 |
m2.3xlarge | 24 | 100% | 192 | 10 - 10230 |
m2.4xlarge | 32 | 100% | 256 | 10 - 10230 |
m2.5xlarge | 40 | 100% | 320 | 10 - 10230 |
m2.6xlarge | 48 | 100% | 384 | 10 - 10230 |
m2.7xlarge | 56 | 100% | 448 | 10 - 10230 |
m2.8xlarge | 64 | 100% | 512 | 10 - 10230 |
s2.micro | 2 | 100% | 8 | 10 - 10230 |
s2.small | 4 | 100% | 16 | 10 - 10230 |
s2.medium | 8 | 100% | 32 | 10 - 10230 |
s2.large | 12 | 100% | 48 | 10 - 10230 |
s2.xlarge | 16 | 100% | 64 | 10 - 10230 |
s2.2xlarge | 24 | 100% | 96 | 10 - 10230 |
s2.3xlarge | 32 | 100% | 128 | 10 - 10230 |
s2.4xlarge | 40 | 100% | 160 | 10 - 10230 |
s2.5xlarge | 48 | 100% | 192 | 10 - 10230 |
s2.6xlarge | 64 | 100% | 256 | 10 - 10230 |
Intel Ice Lake | ||||
s3-c2-m8 | 2 | 100% | 8 | 10 - 10230 |
s3-c4-m16 | 4 | 100% | 16 | 10 - 10230 |
s3-c8-m32 | 8 | 100% | 32 | 10 - 10230 |
s3-c12-m48 | 12 | 100% | 48 | 10 - 10230 |
s3-c16-m64 | 16 | 100% | 64 | 10 - 10230 |
s3-c24-m96 | 24 | 100% | 96 | 10 - 10230 |
s3-c32-m128 | 32 | 100% | 128 | 10 - 10230 |
s3-c40-m160 | 40 | 100% | 160 | 10 - 10230 |
s3-c48-m192 | 48 | 100% | 192 | 10 - 10230 |
s3-c64-m256 | 64 | 100% | 256 | 10 - 10230 |
s3-c80-m320 | 80 | 100% | 320 | 10 - 10230 |
s3-c96-m576 | 96 | 100% | 576 | 10 - 10230 |
m3-c2-m16 | 2 | 100% | 16 | 10 - 10230 |
m3-c4-m32 | 4 | 100% | 32 | 10 - 10230 |
m3-c6-m48 | 6 | 100% | 48 | 10 - 10230 |
m3-c8-m64 | 8 | 100% | 64 | 10 - 10230 |
m3-c12-m96 | 12 | 100% | 96 | 10 - 10230 |
m3-c16-m128 | 16 | 100% | 128 | 10 - 10230 |
m3-c24-m192 | 24 | 100% | 192 | 10 - 10230 |
m3-c32-m256 | 32 | 100% | 256 | 10 - 10230 |
m3-c40-m320 | 40 | 100% | 320 | 10 - 10230 |
m3-c48-m384 | 48 | 100% | 384 | 10 - 10230 |
m3-c56-m448 | 56 | 100% | 448 | 10 - 10230 |
m3-c64-m512 | 64 | 100% | 512 | 10 - 10230 |
m3-c80-m640 | 80 | 100% | 640 | 10 - 10230 |
c3-c2-m4 | 2 | 100% | 4 | 10 - 10230 |
c3-c4-m8 | 4 | 100% | 8 | 10 - 10230 |
c3-c8-m16 | 8 | 100% | 16 | 10 - 10230 |
c3-c12-m24 | 12 | 100% | 24 | 10 - 10230 |
c3-c16-m32 | 16 | 100% | 32 | 10 - 10230 |
c3-c24-m48 | 24 | 100% | 48 | 10 - 10230 |
c3-c32-m64 | 32 | 100% | 64 | 10 - 10230 |
c3-c40-m80 | 40 | 100% | 80 | 10 - 10230 |
c3-c48-m96 | 48 | 100% | 96 | 10 - 10230 |
c3-c64-m128 | 64 | 100% | 128 | 10 - 10230 |
c3-c80-m160 | 80 | 100% | 160 | 10 - 10230 |
c3-c96-m192 | 96 | 100% | 192 | 10 - 10230 |