- #Scal v2 update accidently updated drivers#
- #Scal v2 update accidently updated update#
- #Scal v2 update accidently updated registration#
- #Scal v2 update accidently updated software#
- #Scal v2 update accidently updated mac#
We always strive to make our products better, and this new tool is an innovative step towards making your firmware updates as quick, user-friendly, and seamless as possible. We’re excited to present our new firmware updating tool for your Cardo unit: the CARDO UPDATE.
#Scal v2 update accidently updated update#
#Scal v2 update accidently updated mac#
#Scal v2 update accidently updated drivers#
Looking for audio drivers for Dolby Home Theater® v4, Dolby Advanced Audio v2, Windows® 8, or Windows 10 You can find them by visiting the support section of your PC or tablet manufacturers website.
#Scal v2 update accidently updated registration#
The HPA reconciliation gets the current replicas from the deployment, but then the algorithm gets the number of Pods from the podList.We’ve improved the registration flow for a smoother ride. Support for Dolby Home Theater v4 or Dolby Advanced Audio v2 audio drivers. I believe the source of the problem is that the Deployment spec is not representing the actual number of running/terminating pods. This keeps happening until either more Pods start to have metrics (and they bring down the average making the HPA scale down) or until we reach 10 replicas in which case the usage ratio is 0.91 (1 pod underutilised and 9 pods at 100%) and the HPA decides to return the current deployment replicas. This is why we get a message like %s above target Now we have 3 Pods running (1 running, 1 starting and 1 terminating).
#Scal v2 update accidently updated software#
For vendor applications, obtain updated software from the vendor. For custom applications, we recommend that you update the library, rebuild, and redeploy the application. Versions below this number are vulnerable to one or more serious and remotely exploitable CVEs. I tried to keep this issue as simple as possible but adding a long terminationGracePeriodSeconds increases the Pod count up to 8 or 10 sometimes.Īfter triggering a rolling update, the deployment scales up to 4: The problem seems to happen when the outdated Pod is deleted, and it gets more exaggerated if the Pod takes longer to shut down. The custom metric that it scales on may not available at Pod startup, as it is generated per Pod with a rate function, and the Prometheus scrape interval is 30 seconds. This seems to be related to the fact that it scales on a custom metrics, as the same does not occur when scaling only on CPU. The deployment has a maxSurge of 1 and a maxUnavailable of 0, and while the deployment is completely idle at 1 replica, a rolling update makes it scale up to 4 replicas or more very rapidly, and then scales down gradually. I have been experiencing some strange behaviour on the HPA v2 on v1.14.9, where it scales up a deployment unnecessarily during rolling updates.