Connect GCP account
Connect your Google Cloud Platform account to Sedai to enable AI-driven, autonomous cloud management. Follow our guide for seamless configuration.
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Connect your Google Cloud Platform account to Sedai to enable AI-driven, autonomous cloud management. Follow our guide for seamless configuration.
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Was this helpful?
Sedai currently supports the following GCP cloud resources:
Dataflow BETA
Google Kubernetes Engine (GKE)
Sedai individually connects to Kubernetes clusters, so GKE clusters are displayed independent of their corresponding GCP account. To connect your GKE workloads, we recommend deploying within your cluster, but you can also setup with .
To connect your GCP account, log in to Sedai and navigate to Settings > Integrations. In the upper righthand corner, select the Add Integration button and select Cloud Provider from the side drawer.
You will need to provide the Project ID and Region (found in the home page of your GCP console) as well as create a new service account and provide its JSON.
Once completed click save and you will be prompted to integrate Google Monitoring (by default, Sedai maps but you can optionally customize these). Enter the same Project ID and service account JSON from the previous step and click save.
From your GCP console click IAM & Admin, then select Service Accounts in the left-hand menu and click Create Service Account. Enter details and click continue.
Add the following roles to grant access:
Dataflow Viewer (roles/dataflow.viewer)
Compute Viewer (roles/compute.viewer)
Monitoring Viewer (roles/monitoring.viewer)
Once saved, navigate to the Keys section of the new service account and click the Add key dropdown to create a new key. Select JSON key as the type and create.
Lists all Dataflow jobs ()
Lists all compute instances & regions ()
Grants access to Cloud Monitoring metrics ()