release | Release tooling for OpenShift | Continuous Deployment library

Would be great if someone can help me understand how flock functions. Lets says I have the below scenario:

I am wondering how I can create something like this using JavaScript and A-frame (https://aframe.io).

I would like to create an onload function called load() that will check the value of a variable x and if x is one, the gltf with the id of 1 will show and the gltf's with the id of 2 and 3 will not be visible. The same goes for gltf's 2 and 3. How can I acomplish this? My code:

Turns out you can't have comments in JSON files, and it's a bit awkward to have people refer to some documentation telling them what line to copy/paste in and where in order to achieve this.

I think I can make a python script to copy/paste in one of two package.json files depending on what flags they pass in, but that feels overcomplicated.

I think I can include both dependencies (under different names) but that would create a requirement for both to be available, which is not good either.

Looking for ideas/thoughts on a good way to accomplish this. I have a release and dev version of the same dependency and I often need to swap between the two. Would like to improve the workflow beyond just having a notepad on the side with the two lines pasted in it...

I ran into less than ideal inlining behavior of the .NET JIT compiler. The following code is stripped of its context, but it demonstrates the problem:

I'm trying to parallelize a merge-sort algorithm. What I'm doing is dividing the input array for each thread, then merging the threads results. The way I'm trying to merge the results is something like this:

I am querying a database for an item using R2DBC and Spring Integration. I want to extend the transaction boundary a bit to include a handler - if the handler fails I want to roll back the database operation. But I'm having difficulty even establishing transactionality explicitly in my integration flow. The flow is defined as

I have a generator object, that loads quite big amount of data and hogs the I/O of the system. The data is too big to fit into memory all at once, hence the use of generator. And I have a consumer that all of the CPU to process the data yielded by generator. It does not consume much of other resources. Is it possible to interleave these tasks using threads?

For example I'd guess it is possible to run the simplified code below in 11 seconds.

I have run a topology, and I used the Meter type in metric Reporting API v2. In the execute method I mark this metric. So it will mark an event whenever the execute method is called. But when I compare this value with the __execute-count, I see huge differences. Does anyone know why this happens?

These are the values from my log which are gathered at the same time:

9:v7 __execute-count {v0:v7=44500}
9:v7 tuple_inRate.count 664129

Update: When I use the mark method on the Meter metric, I will get different results in comparison with the Counter metric. But still, I do not understand why the values from the counter metric (tuple counter) are not the same as the __execute-count.

This question is related to Azure MSIX Build and Package task only has Release and Debug configurations

We have a WinForms project that has an MSIX installer. Manually, we can successfully create

1. An MSIXBUNDLE and deploy it to Kudu
2. An MSIX and deploy it to an Azure VM through a VHDX. We have manually convert the MSIX to a VHDX first

We are now trying to automate the build and release process to create the VHDX. However, we are getting a blank screen when the VHDX is mounted using a process that we have already validated. The only thing different is the build method (i.e., MSBuild versus VS Publish).

How do we create a working VHDX in Azure CI Build Pipeline?

Below is the YAML.