Teradata Database Scale Out and Scale In - Teradata Software for AWS

Teradata Vantageā„¢ on AWS (DIY) Installation and Administration Guide

Product
Teradata Vantage on AWS
Release Number
5.08
Published
November 2018
Language
English (United States)
Last Update
2018-11-07
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lifecycle
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Product Category
Cloud

[Base, Advanced, and Enterprise tiers only] You can add or remove instances from an existing system. Adding instances is referred to as scale out. Removing instances is referred to as scale in. Scale out and scale in supports only EBS data storage. A system can always be scaled in after it is scaled out.

Scale out does the following:
  • Increases the performance of the system by adding more CPU and memory, and increases the storage bandwidth by decreasing the data volumes managed per node.
  • Increases the node count by provisioning additional instances and other resources causing an increase in infrastructure and software costs.
  • Consumes additional subnet space. The subnet must have enough IP addresses for the new instances being added to the system.
  • Migrates EBS data volumes from existing instances to new instances.
Scale in does the following:
  • Decreases the performance of the system by removing CPU and memory, and decreases the storage bandwidth by increasing the data volumes managed per node.
  • Decreases the node count by terminating instances that are no longer needed and associated resources causing a decrease in infrastructure and software costs.
  • Migrates EBS data volumes from the instances that are removed to the remaining instances.

The database capacity and AMP count does not change. When scaling out and scaling in, the number of AMPs gets redistributed evenly across the instances.

If either scale out or scale in cannot complete successfully, the process automatically attempts to roll back the operation and restore the original configuration. If rollback fails, contact Teradata Customer Support.

To scale out or scale in, see the following instructions:
Action Instructions
To scale out at deployment
To scale in at deployment You cannot scale in at deployment, only after deployment.
To scale out after deployment Scaling Out a System
To scale in after deployment Scaling In a System