KCP | Thread | DevOps library

When you create azure app server, the default options of Publish is Code which use sandbox environment.

So the webapp created by default not support Registration-free Com.

But Azure App Service supports Windows Containers, you can customize the container.

You need to helm install (or upgrade) using the --wait flag:

--wait: Waits until all Pods are in a ready state, PVCs are bound, Deployments have minimum (Desired minus maxUnavailable) Pods in ready state and Services have an IP address (and Ingress if a LoadBalancer) before marking the release as successful. It will wait for as long as the --timeout [...]

Make sure that your pods have Liveness and Readiness checks. Using the --wait the release will only return successfully after these checks are passing.

Here you are storing data into 2d array. So, each row will store a sequence of char or a string . like usernames[0] = "Lebron" and so on. So, array length will be 5 . But you are trying to print 20 elements. that will give you runtime error.

here is the solution that will work for you.

They could be replaced with the search method. WHERE clause will be converted to a search domain, ORDER BY will be replaced with order parameter (order='read_date desc') and the LIMIT clause is available as a parameter (limit='1').

For example, the second select query could be replaced with:

Kubernetes preserves the node stability instead the resource provisioning, the memory available is not calculate based on free -m command, as the documentation mention:

The value for memory.available is derived from the cgroupfs instead of tools like free -m. This is important because free -m does not work in a container, and if users use the node allocatable feature, out of resource decisions are made local to the end user Pod part of the cgroup hierarchy as well as the root node. This script reproduces the same set of steps that the kubelet performs to calculate memory.available. The kubelet excludes inactive_file (i.e. # of bytes of file-backed memory on inactive LRU list) from its calculation as it assumes that memory is reclaimable under pressure.

You could use the script mentioned above to check your memory available in the nodes and if there's no available resource you will need to increase the cluster size adding a new node.

Additionally, you can check the documenation page for more information about resources limits

I am not sure what you mean by "different payload types" since you only have a single @KafkaListener. @KafkaListener at the class level can have @KafkaHandler at the method level for different payload types.

In any case, there is only one error handler per container so you would need a different container factory for each error handler (same thing for the recovery callback).

We recently added an errorHandler on the @RabbitListener in spring-amqp ...

The route table doesn't have route for tunl0 interface. You can include the environement IP_AUTODETECTION_METHOD on calico.yaml file under the calico-node section.

I think what may work for you is to make another column in your query, that is col_1 || sum(of all at that col_1 value).

So all rows with col_1 = A would have this column be 'A 4' or something like 'Sum of all A is 4' whatever you want.

Then display this in an interactive report, and set a break on this new column.

Then you will have the query neatly sorted into blocks with different col_1 values and the sum of the blocks under that value next to it.

This will require the rewrite of the query, actually just a small addition to it. But we cant help with that since you did not post the query.

EDIT:

Now that you added the query I noticed another thing you might be able to do

It's just a simple syntax mistake. Just use server instead of this.server inside v-for loop.