Lightnode: Batch deployment in one minute, unlimited startup! Global nodes start at $7, billed by the hour, and get $5 for the first charge

How about LightNode? LightNode is a VPS service provider founded in 2002 and headquartered in Hong Kong. It has 18 nodes around the world, with a minimum monthly payment of $7.71, billed by the hour, and you can open unlimited instances by recharging $10. The first deposit will be randomly given away with $5~20.

Many people need the same deployment production environment when using VPS. If you upload and build them one by one, it will be time-consuming and labor-intensive. If the merchant supports custom images, rapid batch deployment can be achieved through custom images. LightNode has a custom image function. Let’s teach you how to use a custom image and deploy it to a VPS.

Click the link to register and get a 50% discount on a permanent account

Notes:

1. You need to manually build the machine for the first time

2. Custom images need to select the same region

3. The custom image is only generated for the data on the system disk, not the data on the data disk.

1. Open the LightNode official website to register or log in. Official website link: www.lightnode.com

2. Click Deploy Instance and purchase a machine first. Here we can see that there is currently no custom image in the image, because we need to configure this node once before the custom image will appear.

3. After the machine is successfully created, click Server Details

4. Click Custom Image on the server details page, enter the image name, and then click Create Custom Image, and you’re done

5. Find the image just now in Product - Image on the left, and click Deploy Resources in the operation on the right. You can also click Custom Image on the machine purchase interface and select the uploaded image for deployment.

Note: Custom images only support the same region

Summary: Use custom images with LightNode to pay on time, and you can open unlimited instances for 10 yuan. It can indeed achieve rapid batch deployment, and it is highly efficient and saves a lot of time and server costs.

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