Learn how to connect either self-hosted or managed clusters to Sedai.
Sedai integrates individual Kubernetes clusters. To integrate a cluster, Sedai requires access to control plane APIs so it can view the current state of workloads and optionally make changes (such as modifying configurations like CPU, memory, etc). Sedai additionally needs access to monitoring data APIs to query metrics (such as usage, traffic, and performance) for its analysis and ML models.
Once connected, Sedai discovers stateless workloads, Deployments, StatefulSets, ReplicaSets, Jobs, CronJobs, Services, and Volumes.
Sedai currently supports autonomous mode for stateless workloads but will only generate recommendations for stateful workloads.
How to integrate
For clusters managed through a cloud provider, we recommend deploying Sedai's Smart Agent to ensure secure, uninterrupted access: