GCP configuration options
ThoughtSpot can be deployed in your GCP environment by deploying compute (VM) instances in your VPC as well as an underlying persistent storage infrastructure. Currently two configuration modes are supported by ThoughtSpot:
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Mode 1: Compute VMs + SSD Persistent Disk storage-only
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Mode 2: Compute VMs + SSD Persistent Disk and Google Cloud Storage (GCS).
For more information about Persistent Storage, see Zonal Persistent SSD disks in Google’s Cloud documentation.
For more information about Google Cloud Storage, see Cloud Storage Buckets in Google’s Cloud documentation.
All GCP VMs (nodes) in a ThoughtSpot cluster must be in the same zone (and, therefore, also in the same region). ThoughtSpot does not support deploying VMs (nodes) of the same cluster across different zones. For more information, see Regions and Zones in Google’s Cloud documentation.
ThoughtSpot GCP instance types
When choosing an instance type, ensure that it uses Intel CPUs.
VMs with Persistent Disk-only storage
Per VM user data capacity |
Instance type |
CPU/RAM |
Recommended per-VM |
Required boot volume capacity |
208 GB |
n1-highmem-64 |
64/416 |
2x 1 TB |
200 GB for each node |
312 GB |
n1-highmem-96 |
96/624 |
2x 1.5 TB |
200 GB for each node |
100 GB |
n1-highmem-32 |
32/208 |
2X 400 GB |
200 GB for each node |
20 GB |
n1-highmem-16 |
16/122 |
2X 400 GB |
200 GB for each node |
180 GB |
n1-standard-96 |
96/330 |
2X 1 TB |
200 GB for each node |
VMs with Persistent Disk and Google Cloud storage
Per VM user data capacity |
Instance type |
CPU/RAM |
Recommended per-VM |
Required boot volume capacity |
208 GB |
n1-highmem-64 |
64/416 |
1X 500 GB |
200 GB for each node |
312 GB |
n1-highmem-96 |
96/624 |
1X 500 GB |
200 GB for each node |
100 GB |
n1-highmem-32 |
32/208 |
1X 500 GB |
200 GB for each node |
20 GB |
n1-highmem-16 |
16/122 |
1X 500 GB |
200 GB for each node |
180 GB |
n1-standard-96 |
96/330 |
1X 500 GB |
200 GB for each node |
For most instances, the per VM recommended user data capacity is set at 50% of the available RAM on the instance. However, in the case of our 16CPU/122GB RAM and 32CPU/208GB RAM instances, we support user data sizes below those numbers to budget for application overhead.
