machine | Machine setup | Configuration Management library

State of the application:

• A single virtual machine which runs an apache server.
• Application exposed via the virtual machine's public IP (not behind a loadbalancer)

I have an healthprobe endpoint running that needs probed every few seconds to see if the app is up, and trigger an alert in case it is not.

What are my options? I want to get the healthprobe up and running first, before I move to a virtual machine scale set and a load balancer.

I am creating a virtual test ATM machine and I just finished the login and registration system that will bring you to a new screen with your balance, username, and a sign-out button. So far I have the button and the username finished. The way I am storing the usernames is by creating a .txt file with all of the usernames, passwords, and their balances in the format of:

I'm implementing Testing Library with Puppeteer and I was trying to use an environment variable, DEBUG_PRINT_LIMIT, to limit the length of the HTML printed to console in case of failure.

But for some reasons, the variable environment is just ignored by the library...

My project:

package.json

I have some local packages hosted on my own machine, I would like to include a copy of them in distribution of other packages that depends on them. When installing a local package, pip freeze shows something like

I have the following piece of code in a shiny app. My goal is to generate the choices for the "cutFamily2" selectInput widget based on what the user chose for the "machine2" selectInput.

If I use corte2() instead of eval(paste0("corte",2)) on the observerEvent the app runs properly. The problem is that I want to use the paste0() because the integer "2" in eval(paste0("corte",2)) will be an argument of a function (function(data,n)) so I can easily generate corte1, corte2 and so on.

When I run it using eval(paste0("corte",2)) I am getting the "error in $: $ operator is invalid for atomic vectors" and the app won't even run. I tried to use enframe() to convert it to a tibble, then the app runs, but I get a "Unknown or uninitialised column: CutFamily" error and the SelectInput choices will be empty. I also tried [[ instead, but nothing.

Any ideas on how to solve the problem?

I have two grid setup's

1. Local grid setup (hub and nodes are running in my local machine) and my local machine connected to network#1

2. VM grid setup (hub and nodes are running in my virtual machine) and my virtual machine connected to network#2

When I execute the scripts I need to pass the IP address as a parameter. Here, I can run my scripts successfully in local machine(code is available in local machine) by passing the network#1 IP address but if I pass the network#2 IP address (VM IP address) to local machine then I am getting below exception,

org.openqa.selenium.remote.UnreachableBrowserException: Could not start a new session. Possible causes are invalid address of the remote server or browser start-up failure.

As per my knowledge, hub and nodes should be connected to same network. Cannot we run the scripts by passing the VM IP address to local machine?

Trace:

I would like to know whether there is a recommended way of measuring execution time in Tensorflow Federated. To be more specific, if one would like to extract the execution time for each client in a certain round, e.g., for each client involved in a FedAvg round, saving the time stamp before the local training starts and the time stamp just before sending back the updates, what is the best (or just correct) strategy to do this? Furthermore, since the clients' code run in parallel, are such a time stamps untruthful (especially considering the hypothesis that different clients may be using differently sized models for local training)?

To be very practical, using tf.timestamp() at the beginning and at the end of @tf.function client_update(model, dataset, server_message, client_optimizer) -- this is probably a simplified signature -- and then subtracting such time stamps is appropriate?

I have the feeling that this is not the right way to do this given that clients run in parallel on the same machine.

Thanks to anyone can help me on that.

Hello my favorite people!

I am trying to send an email after submitting a form, with the AUTO INCREMENT number attached to the email because the AUTO INCREMENT number is the clients Job Card Reference Number. So far i have successfully created the insert script which inserts the data into the database perfectly, and also sends the email too. But does not attach the AUTO INCREMENT number into the email. The INT(11) AUTO INCREMENT primary key is "job_number" in my MySQL database.

Here is my insert page:

I am trying to run a simple parallel program on a SLURM cluster (4x raspberry Pi 3) but I have no success. I have been reading about it, but I just cannot get it to work. The problem is as follows:

I have a Python program named remove_duplicates_in_scraped_data.py. This program is executed on a single node (node=1xraspberry pi) and inside the program there is a multiprocessing loop section that looks something like: