Application logs (roadmap)
Searchable, filterable container logs directly in the dashboard, with the relevant lines surfaced automatically when a deployment goes degraded.
Every deployment on Ownkube has a live health read-out. No extra tools, no config, no scraping to set up.
Open any deployment from your dashboard and watch the Overview tab update in real time.
On the Overview tab of a deployment:
healthy, syncing, degraded, or paused3 / 3)Status updates stream into the dashboard as rollouts happen. You don’t refresh. The page does.
On the Advanced own-cloud path, where you run in your own AWS account, each cluster has its own telemetry. On Ownkube-hosted compute there’s no cluster to watch: the deployment health above is the whole picture. Open a cluster from your dashboard to see a live telemetry strip:
The cluster detail page also shows an at-a-glance list of every deployment on the cluster with its health status.
Kicking off a deploy shows a progression like this in real time:
If a health probe fails, the status surfaces the failure immediately. No log-diving to find it.
| Status | What it means |
|---|---|
| Healthy | All replicas passing health checks, live config matches saved config |
| Syncing | A change is rolling out; new replicas starting, old ones draining |
| Degraded | At least one replica is failing health checks or crash-looping |
| Paused | Deployment is set to 0 replicas; no containers running |
| Deleting | Deployment is being removed |
The next round of monitoring covers application logs, metrics dashboards, and alerting. These are on the roadmap:
Application logs (roadmap)
Searchable, filterable container logs directly in the dashboard, with the relevant lines surfaced automatically when a deployment goes degraded.
Metrics dashboards (roadmap)
CPU, memory, request rate, and latency trend lines per deployment.
Alerting (roadmap)
Plain-English alerts on deployment failures, resource thresholds, or health flaps, so you don’t have to dig through logs to understand what happened.
Cost anomaly detection (roadmap)
Surface unexpected spend jumps before they become monthly surprises. Example: “EKS data-transfer-out 4x higher than 7-day baseline. Investigate before month-end.”