Deploy a New Server With Plesk Control Panel - Part 2

Deploy a New Server With Plesk Control Panel - Part 2

In this second part, we will deploy a new server with plesk panel in vultr cloud server.

This blog will have miltipart series

  1. Create new wordpress website in your local system

    We have done first part. If you have not done you can follow link below:

    https://medium.com/@nutanbhogendrasharma/setup-plesk-panel-and-deploy-wordpress-website-in-virtual-private-server-part-1-29abd1e64105

  2. Deploy a new server with plesk control panel

  3. Setup plesk control panel for wordpress website

  4. Deploy Wordpress website through plesk panel in vultr VPS

Login to Vultr.com account

You have to login in https://my.vultr.com/.

If you don't have account in vultr.com you can create in https://www.vultr.com/.

Deploy a new server

Click on + Sign -> Click on "Deploy a new server"

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Choose Server -> Select Cloud Compute

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You can choose CPU & Storage Technology according to your choice.

I have selected "intel Regular Performance".

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Server location also you can choose according to your choice. I have selected a "New York" server location.

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Select Plesk(Web Admin SE) in Marketplace Apps.

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Select Server size -> $10/month

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Other thing is not required right now. Write Server HostName and Label. Then click on "Deploy Now".

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It will take few seconds to setup a server. After that we can see it is in running status.

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Click on server and you will get all details of server. We need to note that details:

  1. IP address: 104.156.224.76

  2. Username: root

  3. Password: xxxxxxxxxxx

  4. Plesk url: https://104.156.224.76:8443/login

     4.1 User:  root
     4.2 Password: same as root

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We deployed a server with plesk panel. In next section we will setup plesk control panel for wordpress website.

In [ ]:
 

Machine Learning

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  2. TensorFlow Deep Learning Model With IRIS Dataset
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  11. TensorFlow Build Custom Convolutional Neural Network With MNIST Dataset
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  1. How to Parallelize and Distribute Collection in PySpark
  2. Role of StringIndexer and Pipelines in PySpark ML Feature - Part 1
  3. Role of OneHotEncoder and Pipelines in PySpark ML Feature - Part 2
  4. Feature Transformer VectorAssembler in PySpark ML Feature - Part 3
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PyTorch

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  2. Image Classification with PyTorch
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  4. Training an Image Classifier in Pytorch

Natural Language Processing

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  2. Handling Text For Machine Learning
  3. Extracting Text From PDF File in Python Using PyPDF2
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