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I have an application runs on Azure Cloud, and it shows that picohelper blocks hundreds of threads, which is triggered by unknown reasons. What could be the reasons that could trigger picohelper to block many threads on Azure ?
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I'm new to azure machine learning and following the exercise from MS (https://learn.microsoft.com/en-us/training/modules/use-automated-machine-learning/6-exercise). when it comes to deploying the model, I saw there are 4 options. Wondering what's the difference between these 4 and what is the best practice to select the correct method?
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I have a client who wants to block Linux users from accessing the website since they account for 1/5 of traffic and are clearly bots.
Has anyone successfully done this? Not too sure where to begin.
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My back-end app has two separate node processes. One for serving api requests, and another to process background tasks (eg. send email).
I think that is what projects like Rabbit.JS is built for. It's using the RabbitMQ messaging system which is pretty popular for these types of tasks.
http://www.squaremobius.net/rabbit.js/
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currently I am using w32tm /resync in windows to reset the time to default timezone but how would i be able to do it in Linux?
After looking at technet, I suspect the closest solutions are ntpd or sntp. For example, you might use the internet cluster of ntp servers.
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I was planning to use a windows service to write a file periodically with c# 4.0. Are there any other options to do this?
You could use a console application, and the Windows Task Scheduler to execute your application on a periodic schedule. This would allow you to change your schedule easily, after deployment.