Cube Cloud also allows adding additional infrastructure to your deployment to increase scalability and performance beyond what is available with each Dedicated deployment.Documentation Index
Fetch the complete documentation index at: https://cubed3-docs-cub-2416-update-semantic-snowflake-semantic-vie.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
Auto-scaling of API instances
With a Dedicated deployment, 2 Cube API Instances are included. That said, it is very common to use more, and additional API instances can be added to your deployment to increase the throughput of your queries. A rough estimate is that 1 Cube API Instance is needed for every 5-10 requests-per-second served. Cube API Instances can also auto-scale as needed. To change how many Cube API instances are available in the Dedicated deployment, go to the deployment’s Settings screen, and open the Configuration tab. From this screen, you can set the minimum and maximum number of Cube API instances for a deployment:Sizing Cube Store workers
Cube Store Workers are used to build and persist pre-aggregations. Each Worker has a maximum of 150GB of storage; additional Cube Store workers can be added to your deployment to both increase storage space and improve pre-aggregation performance. A minimum of 2 Cube Store Workers is required for pre-aggregations; this can be adjusted. For a rough estimate, it will take approximately 2 Cube Store Workers per 4 GB of pre-aggregated data per day.Idle workers will automatically hibernate after 10 minutes of inactivity, and
will not consume CCUs until they are resumed. Workers are resumed automatically
when Cube receives a query that should be accelerated by a pre-aggregation, or
when a scheduled refresh is triggered.