View PhoenixAI clusters
PhoenixAI displays all of the clusters created within your PhoenixAI Cloud account on its console. You can get an overview of all clusters or dive down into the details of each individual cluster.
Scale a PhoenixAI cluster
PhoenixAI supports scaling clusters both vertically and horizontally. As your workloads grow or drop, you can view the details about a cluster and then decide whether to scale your cluster to maintain the necessary performance levels at minimum costs.
Release a PhoenixAI cluster
If you no longer need a PhoenixAI cluster, you can release it to save costs.
Suspend and resume a PhoenixAI cluster
PhoenixAI allows suspending a cluster to avoid unnecessary costs during idle time. Once your cluster is suspended, PhoenixAI does not charge you with CCUs for your suspended cluster any more. Also, you no longer need to pay your cloud provider for the virtual machines on which your cluster runs.
Manage Resource Tags and Labels
Tags (for AWS and Azure) and labels (for GCP) are Key = Value metadata attached to cloud resources (such as compute instances, storage volumes, and load balancers) PhoenixAI provisioned for you. Once applied, they are synchronized to the underlying cloud provider, enabling you to identify, categorize, filter, search, and allocate costs for resources within the cloud provider console.
Open a PhoenixAI cluster
PhoenixAI supports accessing a PhoenixAI cluster on your web browser. By opening a PhoenixAI cluster on your web browser, you can access PhoenixAI Studio, and run queries, manage data catalogs, view query history, monitor cluster status, and check audit logs in it.
Enable Arrow Flight for a PhoenixAI Cluster
PhoenixAI supports connections via Apache Arrow Flight SQL protocol.
Connect from a client application to a PhoenixAI cluster
You can connect to PhoenixAI clusters from your client application to query and visualize the data in your data lakes and relational databases.
Warehouses
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Configure Static Parameters
Under certain circumstances, you may need to configure Coordinator Node or Compute Node static parameters to achieve better query or loading performance or satisfy certain requirements. Unlike dynamic parameters, which can be configured and adjusted by running SQL commands and take effect with no downtime, modifications to static parameters can take effect only after the cluster or warehouse is restarted. To facilitate this process, PhoenixAI allows cluster administrators to configure static parameters from the PhoenixAI Cloud console.