CockroachDB Cloud manages distributed SQL clusters, and this integration gives an AI agent in Neotask a way to handle provisioning, monitoring, and configuration for those clusters directly from conversation. Ask it to spin up a new cluster with a given region and node count, and it can carry out that provisioning step without you opening the console yourself. Ask it how a cluster is performing right now, and it can pull current monitoring data instead of you switching over to a separate dashboard mid-task while trying to hold context on something else. It also handles administrative operations against both self-hosted and cloud-managed CockroachDB deployments, so configuration changes that would normally mean digging through the console's settings pages can instead be requested in plain language and confirmed back to you once complete. For a team running distributed SQL in production, that means less time spent clicking through cluster dashboards during routine checks and more time spent actually deciding what the cluster needs to run well under load. It also means a newer team member can ask the agent basic status questions about a cluster without needing to first learn every corner of the console themselves, which shortens the ramp-up time on distributed database operations considerably, and reduces how often a routine question turns into an interruption for whoever normally owns the console.
| Provision cluster | Create a new CockroachDB Cloud cluster with a specified region and configuration |
| Monitor cluster health | Pull current performance and health metrics for a cluster |
| Configure cluster settings | Adjust node count, region, or other cluster-level configuration |
| Run administrative operations | Execute administrative tasks against self-hosted or cloud-managed deployments |
| Review cluster status | Check the current state of an existing cluster before making changes |
| List active clusters | Pull an overview of all clusters currently provisioned under an account |
A developer asks the agent to provision a small CockroachDB Cloud cluster in a specific region for a staging environment. The agent handles the provisioning, confirms the configuration once it's live, and reports back the connection details, cutting out several manual steps in the console. It also checks that the cluster's node count matches what was requested before marking the task complete, and it lists any other staging clusters already running under the account in case one could have been reused instead. The developer ends up with a ready-to-use cluster and connection string in the time it would have taken to just log into the console. A week later, the same developer asks the agent whether that staging cluster is still being used, and gets a straight answer based on recent activity before deciding whether to decommission it.
During an on-call incident, an engineer asks the agent to check the health of the production cluster. The agent pulls current monitoring data, reports on node status and any anomalies, and gives the engineer a starting point for the investigation without needing to open the CockroachDB Cloud console mid-incident. It can also list other active clusters in the account in case the issue is affecting more than one, and it flags whether any recent configuration change coincides with when the anomaly started. That timeline detail often points the engineer straight at the likely cause. Once the fix is applied, the engineer asks the agent to recheck cluster health a few minutes later to confirm the anomaly has actually cleared before closing out the incident.
Yes, administrative operations can be run against self-hosted deployments as well as cloud-managed clusters, so the same conversation can cover both environments.
You direct what changes to make, and the agent carries them out as instructed within your Neotask workflow, reporting back once each change is applied.
It can pull current monitoring and health data for a cluster, which is useful context when investigating an incident under time pressure and without extra logins to manage.
It handles common provisioning, monitoring, and configuration tasks from conversation, though some deep console-only workflows may still require the console directly for now.
Both. A solo developer can use it to manage a single cluster, and a team can use it to check status or make configuration changes without everyone needing full console access.
Yes, you can ask it for an overview of active clusters under your account before deciding what to change or whether a new one is even needed.