How do I scale with Cloud Servers? You have several options:
1. Scale In or Out: Scale out by taking an image of your Cloud Server and then adding new Cloud Servers based on that image. Scale In by deleting Cloud Servers to remove computing capacity. Scaling in or out is frequently used for web servers.
2. Scale Up or Down - You can increase the size of your server image (e.g. CPU, disk, memory) or you can resize down. Scaling up or down is frequently used for database servers. Note: Windows Cloud Servers cannot be resized down.
How much CPU do I get?For Windows images, each Cloud Server is assigned a number of virtual cores based on the size of the Cloud Server. A 1 GB Cloud Server receives 1 virtual core, 2 GB and 4 GB Cloud Servers receive 2 virtual cores, 8 GB and 15.5 GB Cloud Servers receive 4 virtual cores, and 30GB Cloud Servers receive 8 virtual cores . Each of these cores is given equal weight when allocating CPU cycles.
For Linux distributions, each Cloud Server is assigned four virtual cores (for servers up to 15GB) or eight virtual cores for the 30GB server size. The amount of CPU cycles allocated to these cores is weighted based on the size of the Cloud Server.
All Cloud Servers receive a guaranteed minimum amount of CPU cycles with the ability to burst when excess cycles are available.
Can I upgrade my storage without upgrading the entire plan? Currently, Cloud Servers are tied to specific CPU, memory and storage. At this time, you would have to upgrade these together.
Currently, you would have to upgrade the RAM in order to get more storage and vice versa.
Can Cloud Files be mounted as storage?Cloud Files is not block level storage, so it cannot be mounted. Customers do use Cloud Files to offload static files, such as media files for example. Typically media files do not change and will not need to be written to as a database would.
Can I import my own image or export an image on a Server? At this time, you would have to pick from our Linux distributions or Windows images. You can save an image and use it within cloud; however, you would not be able to export it.