pages-2 | Java desktop application for easy and flexible monoming | Audio Utils library

Turns out it is a fudged up mistake of mine, where I specify the phpmyadmin's container port to be 3000, while the default image port opens at 80. After changing the containerPort and phpmyadmin-service's targetPort to 80, it opens the phpmyadmin's page.

So sorry for kkopczak and AndD for the fuss and also big thanks for trying to help! :)

The large number of Evicted pods suggests you've set the resource requests too low. An 8x difference between requests and limits "feels" very large to me.

Given your setup, the kubectl describe node output looks about right to me. Notice that the resource requests are very close to 100%: Kubernetes will keep scheduling pods on a node until its resource requests get up to 100%, and whatever the corresponding limits are, they are. So if you've managed to schedule 7x 256 MiB request pods, that would request 1,792 MiB of memory (88% of a 2 GiB node); and if each pod specifies a limit of 2 GiB, then the total limits would be 7x 2048 MiB or 14,336 MiB (700% of the physical capacity).

If the actual limits are that much above the physical capacity of the system, and the pods are actually using that much memory, then the system will eventually run out of memory. When this happens, a pod will get Evicted; which pod depends on how much its actual usage exceeds its request, even if it's within its limit. Node-pressure Eviction in the Kubernetes documentation describes the process in more detail.

Setting these limits well is something of an art. If the requests and limits are equal, then the pod will never be evicted (its usage can't exceed its requests); but in this case if the pod isn't using 100% of its requested memory then the node will be underutilized. If they're different then it's easier to schedule pods on fewer nodes, but the node will be overcommitted, and something will get evicted when actual memory usage increases. I might set the requests to the expected (observed) steady-state memory usage, and the limits to the highest you'll ever expect to see in normal operation.

Your code is correct. And TreeTable does show all columns, you just miss the horizontal scroll at bottom of the grid.

To fix the situation, you need to

• init UI in container ( currently it is atached to the body ). To do so you need to add container property to the UI configuration

In most cases, this is happening due to excess of log messages are consuming the storage. Solution for that would be to configure the Docker logging driver to limit the amount of saved logs:

The nvidia-gpu-device-plugin should be installed in the GPU node as well. You should see nvidia-gpu-device-plugin DaemonSet in your kube-system namespace.

It should be automatically deployed by Google, but if you want to deploy it on your own, run the following command: kubectl apply -f https://raw.githubusercontent.com/kubernetes/kubernetes/master/cluster/addons/device-plugins/nvidia-gpu/daemonset.yaml

It will install the GPU plugin in the node and afterwards your pods will be able to consume it.

Intel Xeon E5-2620 is Sandy Bridge CPU which officially supports AVX and not AVX2.

DPDK 20.11 meson build, ninja -C build will generate code with AVX instructions and not AVX2. But (Based on the live debug) PKTGEN forces the compiler to add AVX2 to be inserted, thus causing illegal instruction.

Solution: edit meson.build in line 22

from

Occam's razor says that the reason you're seeing an 80 GB root volume rather than the 8 GB volume that you selected is because you're looking at the wrong instance. You may disagree with this, but if there's a bug in the AWS Console that replaces small drives with much larger ones, I would expect to hear screams of outrage on Hacker News.

The missing SSD is much easier to explain: you have to format and mount the volume before use.

If you run the lsblk command, you should see the volume:

Your link goes to a webpage. Use a direct link or proper directory

Try this:

According to the AWS documentation IP addresses per network interface per instance type the t2.micro only has 2 Network Interfaces and 2 IPv4 addresses per interface.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/using-eni.html#AvailableIpPerENI

There is limitation on AWS EKS to schedule the pod : https://github.com/awslabs/amazon-eks-ami/blob/master/files/eni-max-pods.txt

you can remove this limit if want : https://medium.com/@swazza85/dealing-with-pod-density-limitations-on-eks-worker-nodes-137a12c8b218