Google Allows Developers to Create Compute Instances on its Cloud Platform

obrBy Vladimir Covic24 Nov'15 2015-11-21T03:00:12+00:00Google+

Thanks to Google, developers will now be able to create their own compute instances using custom configurations of virtual CPUs and memory located on Google’s cloud.

Google developer day
Google developer day©

The new feature Google rolled out to enable users to make new compute instances is called Custom Machine Types.

Building New Compute Instances via Custom Machine Types

These instances can have anywhere from just one, up to 32 virtual CPUs and developers can add up to 6.5GiB of memory per vCPU. 1GiB equals about 1.074 “regular” gigabytes.

With this, users can now build custom instances that will allow them to create the most suitable configuration for their apps and save some money for extra capabilities.

Where Will These Custom Instances Work?

At the moment, as Sami Iqram, Google Product Manager said, these compute instances are in beta version and only work on the following:

  • Ubuntu
  • Debian
  • OpenSUSE
  • CoreOS
  • CentOS

As for the price, Google revealed on its blog that it will be based on hourly usage per virtual CPU, as well as per GiB of memory. Naturally, this means that an 8 vCPU with 20GiB of memory will cost twice as much as a 4 vCPU with 10GiB memory.

More Options for Users to Compute Instances

By doing this, Google is essentially giving a wider array of options for developers to build compute instances. This can put the company ahead of its competitors (if only for a while), as they only offer a limited menu from which to choose their instances.

PlanPrice PlanStorageDetails
100GB
$ 1.99 Monthly
$23.88 1 Year
100 GB
1TB
$ 9.99 Monthly
$119.88 1 Year
1000 GB
10TB
$ 199.99 Monthly
$2,399.88 1 Year
10000 GB

The move can also be seen as a good way by Google to bring those users who are a bit more conscious about their budget.

What do you think of Google’s offer to developers to compute instances with custom configurations of vCPUs and memory on its cloud platform? Start a conversation in the comments and share your thoughts.

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