# PerfectScale Autoscaler Objects' Events

<table><thead><tr><th width="116">Event name</th><th width="139">Object</th><th width="110">Event type</th><th width="127">Event message</th><th>Description</th></tr></thead><tbody><tr><td><code>RefObjectNotFound</code></td><td><p></p><p><code>WorkloadAutomationConfig</code></p></td><td><code>Warning</code></td><td>Workload specified in TargetRef not found.</td><td>The event indicates that the K8s object specified in the TargetRef of the <code>Workload Automation Config</code> does not exist. The event could appear only in the config creation stage.</td></tr><tr><td><code>UpdatingWorkload</code></td><td><code>WorkloadAutomationStatus</code> (k8s object associated with the workload, e.g. <code>Job/CronJob</code>)</td><td><code>Normal</code></td><td>Received new resource recommendations for <code>{objectNamespace}</code>/<code>{objectName}</code></td><td><p>This event is applicable only to non-restartable workloads, such as <code>Jobs</code> and <code>CronJobs</code>.</p><p>The event indicates that new resource recommendations have been applied to <code>WorkloadAutomationStatus</code> (moved from <code>target</code> to <code>current</code> section).</p><p>Since the autoscaler cannot restart such workloads, new recommendations will be applied to pods during the next pod creation scheduled by K8s.</p></td></tr><tr><td><code>RestartingWorkload</code></td><td><code>WorkloadAutomationStatus</code> (k8s object associated with the workload, e.g. <code>Deployment/DaemonSet/StatefulSet</code>)</td><td><code>Normal</code></td><td>Received new resource recommendations for <code>{objectNamespace}</code>/<code>{objectName}</code></td><td><p>The event is only relevant for the restartable workloads (e.g., <code>Deployment</code>/<code>DaemonSet</code>/<code>StatefulSet</code>).</p><p>The event indicates that new resource recommendations have been applied to <code>WorkloadAutomationStatus</code> (moved from <code>target</code> to <code>current</code> section), AND autoscaler started rollout-restart for the workload (to apply the new recommendations).</p><p>Restart is needed for pod re-creation to apply the new recommendations.</p></td></tr><tr><td><code>RestartFailed</code></td><td><code>WorkloadAutomationStatus</code> (k8s object associated with the workload, e.g. <code>Deployment/DaemonSet/StatefulSet</code>)</td><td><code>Warning</code></td><td>Failed to restart <code>{objectNamespace}</code>/<code>{objectName}</code>: <code>{errorMessage}</code></td><td><p>The event is only relevant for restartable workloads (e.g., <code>Deployment</code>/<code>DaemonSet</code>/<code>StatefulSet</code>).</p><p>The event indicates that the restart failed from the autoscaler perspective. Possible reasons:</p><ul><li>We failed to start the restart process (the k8s client returned an error on the http patch request).</li><li>The deadline for restarting all pods has been exceeded (means not all pods have our latest <code>restartedAt</code> annotation and have running state).</li></ul></td></tr><tr><td><code>MutatingPod</code></td><td><code>WorkloadAutomationStatus</code></td><td><code>Normal</code></td><td>Applying PerfectScale recommendations to <code>{podNamespace}</code>/<code>{podName}</code></td><td>The event indicates that recommendations for the specified pod exist and can be applied (no R1 happened, etc.).</td></tr><tr><td><code>MutatedPod</code></td><td><code>WorkloadAutomationStatus</code></td><td><code>Normal</code></td><td>Successfully applied PerfectScale recommendations to <code>{podNamespace}</code>/<code>{podName}</code></td><td>The event indicates that recommendations for the specified pod were properly converted to JSON and returned to k8s. Therefore, recommendations should be applied to the pod.</td></tr><tr><td><code>MutatePodFailed</code></td><td><code>WorkloadAutomationStatus</code></td><td><code>Warning</code></td><td>Failed to apply PerfectScale recommendations to <code>{podNamespace}</code>/<code>{podName}</code></td><td>The event indicates that recommendations for the specified pod can not be properly converted to JSON and, as a result - were not returned to K8s. Therefore, recommendations will not be applied to the pod.</td></tr></tbody></table>


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