Infra console

Map K3s workloads to environments, register image artifacts, release, scale, restart and roll back Deployments, and record AI runs with devopspadctl.

• What is the Infra console?

  The Infra console organizes K3s and Kubernetes apps by environment, with nodes, artifacts, releases, Pods, logs, metrics, events and config on one screen.

• Connect K3s workloads to the Infra console

  Use the Connect K3s wizard to read workloads from a namespace and map them to an environment and application. Only a local mapping is saved.

• Map environments and apps in project.yaml

  project.yaml maps each environment to a saved cluster connection and namespace and each application to a Pod label selector. Format, rules and examples.

• See every node in a K3s cluster

  The Nodes page lists every node of the selected environment's cluster with Ready status, roles, internal and external IPs, CPU, memory, OS and version.

• Register an image as an artifact

  Register an existing image by its immutable sha256 digest so you can release it. DevOpsPad does not build, push or verify images in your registry.

• Release a new image to a Deployment

  Release a registered image to one container of an existing Deployment. DevOpsPad runs a server-side dry-run, takes a Lease and waits for the rollout.

• Scale or restart a Deployment

  Change a Deployment's replicas between 0 and 1,000 or trigger a rolling restart from the Infra console, after reviewing a dry-run plan.

• Roll back to a previous image version

  Roll a Deployment container back to the image digest of an earlier successful release. A new plan is checked against the current state first.

• View and edit an app's ConfigMaps

  See the environment variables, mounts and ConfigMaps an app actually uses, edit ConfigMap text with conflict checks, and edit host Nginx config over SSH.

• Check Pod CPU and memory usage

  The Monitoring page shows current CPU (mCPU) and memory (MiB) for an app's Pods from metrics-server, with the sample time. There is no history.

• Use the devopspadctl command-line tool

  devopspadctl validates release specs, lists fleets, inspects and attaches cluster workloads, and records AI build and release runs in a local project.

• Record AI builds and releases in DevOpsPad

  Let an AI agent report build and release steps with devopspadctl runs record. Successful builds become artifacts; records are idempotent and validated.