Deployment types
Development Instance
Development instance is available in Cube Cloud for free, no credit card required. Your free trial is limited to 2 development instances and only 1,000 queries per day. Upgrade to any tier (opens in a new tab) to unlock all features.
Development Instances are designed for development use-cases only. This makes it easy to get started with Cube Cloud quickly, and also allows you to build and query pre-aggregations on-demand.
Development Instances do not provide high-availability nor do they guarantee fast response times. Development Instances also hibernate after 10 minutes of inactivity, which can cause the first request after hibernation to take additional time to process. They also have limits on the maximum number of queries per day and the maximum number of Cube Store Workers. We strongly advise not using a development instance in a production environment, it is for testing and learning about Cube only and will not deliver a production-level experience for your users.
You can try a Cube Cloud development instance by signing up for Cube Cloud (opens in a new tab) to try it free (no credit card required).
Production Cluster
Production cluster is available in Cube Cloud on all tiers (opens in a new tab).
Production Clusters are designed to support high-availability production workloads. It consists of several key components, including starting with 2 Cube API instances, 1 Cube Refresh Worker and 2 Cube Store Routers - all of which run on dedicated infrastructure. The cluster can automatically scale to meet the needs of your workload by adding more components as necessary; check the Scalability section below.
Production multi-cluster
You can deploy a production multi-cluster in Cube Cloud, which allows for larger amounts of data as well as load balancing for multi-tenant deployments with over 1,000 tenants.
Production multi-cluster is available in Cube Cloud on Enterprise Premier (opens in a new tab) tier. Contact us (opens in a new tab) for details.
Cube Cloud routes traffic between clusters based on
contextToAppId().
Each cluster is billed separately, and all clusters can use auto-scaling to match demand.
Scalability
Cube Cloud also allows adding additional infrastructure to your deployment to increase scalability and performance beyond what is available with each Production Deployment.
Cube Store Worker
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.
To change the number of Cube Store Workers in a deployment, go to the deployment’s Settings screen, and open the Configuration tab. From this screen, you can set the number of Cube Store Workers from the dropdown:
Cube API Instance
With a Production 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 Production Cluster, 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:
Switching between deployment types
To switch a deployment's type, go to the deployment's Settings screen and select from the available options: