With the newly launched beta of Custom Machine Types for Google’s Compute Engine, Google promised that it will bring an end to the days when “major cloud buyers force you to overbuy”. Google has promised that under its new system users can buy the exact amount of processing power and memory that they need for their VM.
The new system, explained in a Google blog, aims to improve the experience for customers when buying a new virtual machine in the cloud. Google says it wants to replace the old system, where users have to choose from a menu of pre-configured CPU and RAM options on machines that are never quite adjusted right to fit the user. Since VMs usually come in multiples of two, Google explained, customers frequently have to buy eight CPUs, even when they only need six.
The Custom Machine Types system will let users buy virtual CPU (vCPU) and RAM in smaller units (Gigibytes rather than Gigabytes) and give customer more options to adjust the number of cores and memory as needed. If a customer’s bottom line expands, the cloud can be ‘let out’ accordingly. In another tailoring option, Google has introduced smaller units of charging (with per-minute billing) in a bid to create more accurate metering of the customer’s consumption of resources.
In the US every vCPU hour will cost $0.03492 and every GiB of RAM will cost $0.00468 per hour. The price for Europe and Asia, however, is a slightly higher rate $0.03841 per vCPU hour. Rates will decrease on bulk purchasing however.
Support is available in Google’s command line tools and through its application programming interface (API) and Google says it will create a special graphical interface for its virtual machine shop in its Developer Console. Developers can specify their choice of operating system for their tailored VM, with the current options being CentOS, CoreOS, Debian, OpenSUSE and Ubuntu.
Meanwhile, elsewhere in the Google organisation, it is working with content deliverer Akamai Technologies to reduce hosting and egress costs and improve performance for Akamai customers taking advantage of Google Cloud Platform.