About Scaling Up Your Resources
You can scale the resources provided by default with Oracle Energy and Water Data Intelligence based on your workload.
An activated subscription enables a cloud account administrator and service administrator to create the following types of instances:
- Development/Test
- Additional test (ATE)
- Production
The development/test and ATE instances typically have smaller capacity compared to the production instance. These instances are different in the following ways:
- The development instance and ATE are for testing with a subset of data such as the last one (1) year as opposed to the full history, as well as a subset of concurrent business users.
- The development instance is to develop or test reports and customizations before deploying them in the production instance for business users.
- The production instance is for production-level business needs, such as all historical data and all business users.
- The production instance has higher resources and therefore higher performance.
- Oracle monitors the production instances to ensure a satisfactory level of service for the predefined content.
Prior to scaling these instances, note the following:
- You must speak to your sales representative if you want to scale up compute and storage resources on Oracle Autonomous Data Warehouse and Oracle Analytics Cloud instance
- You can't scale down below the provisioned capacity.
- You might need to scale up the Oracle Analytics Cloud instance
associated with your Oracle Energy and Water Data Intelligence instance in
scenarios such as these:
- Extensive semantic model extensions
- Extensive custom reports
- Use of large custom data sets
- Merge of external applications into the Oracle Energy and Water Data Intelligence semantic model.
- Sluggish report performance due to many concurrent users
- You can monitor the Oracle Analytics Cloud instance associated with your Oracle Energy and Water Data Intelligence instance using the Metrics option. For more information, see Monitor Metrics in the Oracle Analytics Cloud.
- You might need to scale up the Oracle Autonomous Data Warehouse
instance associated with your Oracle Energy and Water Data Intelligence
instance in scenarios such as these:
- Extensive use of data warehouse tools such as Oracle Machine Learning (OML) and Application Express (APEX)
- Custom data that exceeds 50 GB
- Extensive custom queries
- Use of custom apps or tools against the database
- Many concurrent users running reports
- You can monitor your Oracle Autonomous Data Warehouse instance using the Performance Hub and Metrics Explorer options. See Monitor and Manage Database Performance andMonitor Metrics in the Oracle Autonomous Data Warehouse documentation.
- You can scale up the development/test instance and ATE in scenarios such as these:
- Testing customizations before deploying them to the production instance.
- Stress-testing that requires temporarily scaling up the instance.
- Bringing additional volumes of data into the development/test instance and ATE.
You must speak to your sales representative if you want to scale up any of your compute and storage resources.