This topic describes the deployment architecture of Dremio on Azure Kubernetes Service (AKS).
High availability is dependent on the Kubernetes infrastructure. If any of the Kubernetes pods go down for any reason, Kubernetes brings up another pod to replace the pod that is out of commission.
- The Dremio master-coordinator and slave-coordinator pods are each StatefulSet. If the master-coordinator pod goes down, it recovers with the associated persistent volume and Dremio metadata preserved.
- The Dremio executor pods are a StatefulSet with an associated persistent volume. Slave-coordinator pods do not have a persistent volume. If an executor pod goes down, it recovers with the associated persistent volume and data preserved.
Load balancing distributes the workload from Dremio's web (UI and REST) client and ODBC/JDBC clients. All web and ODBC/JDBC clients connect to a single endpoint (load balancer) rather than directly to an individual pod. These connections are then distributed across available coordinator (master-coordinator and slave-coordinator) pods.
For More Information
- Deploying Dremio on AKS
- Customizing AKS Deployment
- Administering Dremio on AKS
- Kubernetes Troubleshooting