This section is an overview of the ThoughtSpot AI-Driven analytics platform hosted on the VMware VSphere Hypervisor (ESXi) 6.5 environment.
About ThoughtSpot on VMware
The VMware virtualization platform provides highly scalable and efficient memory and CPU resources management that can be used by ThoughtSpot instances. Additionally, the VMware virtualization environment is an easy transition between development and production environments. The following diagram shows the components of a VMware and ThoughtSpot architecture:
Your database capacity will determine the number of ThoughtSpot instances and the instance network/storage requirements. In addition, you can scale your ThoughtSpot VMs as your dataset size grows.
ThoughtSpot Engineering has performed extensive testing of the ThoughtSpot platform on VMware for the best performance, load balancing, scalability, and reliability. Based on this testing, ThoughtSpot recommends the following minimum specifications for an individual VMware ESXi host machine:
|Per VM user data capacity||CPU/RAM||Data disk||Required root volume capacity|
|20 GB||16/128 GB||2x400 GB||200 GB for each node|
|100 GB||32/256 GB||2X400 GB||200 GB for each node|
|256 GB||72/512 GB||3X1 TB||200 GB for each node|
|Note: All cores must be hyperthreaded. 200 GB SSD boot disk required for all configurations.|
All virtualization hosts should have VMware VSphere Hypervisor (ESXi) 6.5 installed.
ThoughtSpot provides a VMware template (OVF) together with a VMDK (Virtual Machine Disk) file for configuring a VM. VMDK is a file format that describes containers for virtual hard disk drives to be used in virtual machines like VMware Workstation or VirtualBox. OVF is a platform-independent, efficient, extensible, and open packaging distribution format for virtual machines.
The ThoughtSpot VM configuration uses thin provisioning and sets the recommended reserved memory, among other important specifications. You can obtain these files from your ThoughtSpot Customer Success Engineer.
Questions or comments?
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