downtime | response time monitor powered by GitHub Action | Continous Integration library

Let's suppose we have these 3 Dataframes with 'Start' & 'End' Dates of a certain task.

Is there a fundamental minimum height for a highcharts heatmap?

What we're trying to achieve is a very wide heatmap, that is 1 cell tall and 4,032 to 4,462 cells wide, with the chart pushed out the edge of the frame.

Charts options are currently:

We utilizing Azure app services with linux os and we deploying containerized .net core application to the service. The deployment runs using Set-AzWebApp function from Az.Websites ps module. One of the parameters passed to the function is containerimagename which provides a new container version to the service. There is a separate CI process that builds the docker image and pushes it into ACR. When the Set-AzWebApp runs as a part of release pipeline and the new container is deployed I couldn't see any downtime to the service, meaning running health check endpoint returns 200 in browser and the service seems to be available all the time. But my test is unreliable in a sense that I am just pinging health check which is very simple endpoint that exercises service middleware only without running data base request or some other logic.

According to my understanding the service needs to recycle itself to accept a new version of the image and the question is would the consumer of the service expirience any downtime during the recycle, also what happens with requests that run during recycle process?

I want to undo all changes on remote repository so that it represents the state as it was after commit id bd5bf14, how can I achieve this?

This is my current graph:

At my company, we have a dashboard showing all Virtual Machines on Azure, highlighting any missing Windows or Linux Patches, then marking VMs with missing patches over 30 days old as non-compliant, to alert teams to patch the VM (auto patching is not always an option due to the downtime). We now want to add VM ScaleSet VMs to this wallboard, but I cannot see how. The Microsoft Monitoring agent doesn't seem to be installed on any of the ScaleSet VMs, so I cannot see how to query them. Currently with the standard VMs I query using log analytics queries.

Is there any solution to this without having to ask the dev teams to install the monitoring agent on all the scalesets VMs (if that's even possible).

how to copy non duplicate elements from multiple arrays which will be dynamic

I want to make length of each graphmonthdata same. for example graphmonthdata[2] length is 4 so i want to make its length whichever is highest length in nested array with missing values from another nested array and vice versa. basically all nested array should have same length and same elements by adding missing elements from another nested array

in javascript or c# please help Thank You!

example nested array

looking for some help on one scenario. i have one OLTP application(app1) which frequently reads metadata table, This table has only 2k records. Another application(app2) needs to refresh(remove and insert 2k records again) metadata table few times in a day.

Since there there is no downtime how do i refresh the metadata table?

one option i can think of is:

1. Add column "ACTIVE" to metadata table(initial load put 1 as Active)
2. app1 while reading always use Active=1
3. app2: 1st insert new metadata with Active=0
4. app2: 2nd Delete Active=1
5. app2: 3rd update all rows Active=1
6. app2: finally commit

I'm not very convinced above option, is there any alternative option?

I am trying to add all the rows so it can be seen like this, it must add only (1) in Uptime, (2) in Downtime, (3) in PM.

I have a collection like this