Snow Owl Docs
9.x
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  • Introduction
  • Quick Start
    • Create your first Resource
    • Import SNOMED CT
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    • Next steps
  • Setup and Administration
    • Plan your deployment
      • Technology stack
      • Hardware requirements
      • Software requirements
    • Configuration
      • Release package
      • Folder structure
      • Get SSL certificate (optional)
      • Preload dataset (optional)
      • Configure Elastic Cloud (optional)
      • System settings
      • Spin up the service
    • Upgrade Snow Owl
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      • Backup
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    • Advanced installation methods
      • Install Snow Owl
        • Using an archive
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      • System configuration
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      • Configure Snow Owl
      • Start Snow Owl
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    • Advanced configuration
      • Setting JVM options
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      • SNOMED CT API
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  • Snow Owl with a co-located Elasticsearch cluster
  • Snow Owl with a managed Elasticsearch cluster
  • Cloud VMs
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  1. Setup and Administration
  2. Plan your deployment

Hardware requirements

Last updated 1 year ago

Snow Owl with a co-located Elasticsearch cluster

For installations where Snow Owl and Elasticsearch are co-located, we recommend the following hardware specifications:

Snow Owl & co-located ES
Cloud
Dedicated

vCPU

8

8

Memory

32 GB

32 GB

I/O performance

>= 5000 IOPS SSD

>= 5000 IOPS SSD

Disk space

200 GB

200 GB

Snow Owl with a managed Elasticsearch cluster

For installations where Snow Owl connects to a managed Elasticsearch cluster at we recommend the following hardware specifications:

Snow Owl
Cloud
Dedicated

vCPU

8 (compute optimized)

8

Memory

16 GB

16 GB

I/O performance

OS: balanced disk

TS file storage: local SSD

OS: HDD / SSD

TS file storage: SSD

Disk space

OS: 20 GB

TS file storage: 100 GB

OS: 20 GB

TS file storage: 100 GB

Elasticsearch @ elastic.co

vCPU

8 (compute optimized)

Memory

4 GB

I/O performance

handled by elastic.co

Disk space

180 GB

In case Snow Owl is planned to be used with resource-intensive workloads (large code system upgrades, frequent classification of terminologies, bulk authoring) an 8 vCPU / 4 GB Elasticsearch cluster might not be sufficient. Consider increasing the size of the hosted Elasticsearch instance gradually, so that finding the sweet spot will be straightforward.

Cloud VMs

Here are a few examples of which Virtual Machine types could be used for hosting the Terminology Server at the three most popular Cloud providers (including but not limited to):

Cloud Provider
VM type

GCP

AWS

Azure

elastic.co
c2d-highcpu-8
c5d-2xlarge
F8s v2