Google Compute Engine
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Google Compute Engine is an
infrastructure-as-a-service (IaaS) offering that allows clients to run
workloads on Google's infrastructure. The Compute Engine provides a scalable
number of virtual machines (VMs) to serve as large compute clusters for that
purpose.
GCE can be
managed through a RESTful API, command line interface (CLI) or Web console.
GCE's application program interface (API) provides administrators with
virtual machine (VMs), DNS servers and load balancing capabilities. VMs are
available in a number of CPU and RAM configurations and Linux distributions,
including Debian and CentOS. Customers may use their own system images for
custom virtual machines. Data at rest is encrypted using the AEC-128-CBC
algorithm.
GCE's scalable number of allowed instances
makes it possible for an administrator to create clusters with thousands of
virtual CPUs. GCE allows administrators to select the region and zone where
certain data resources will be stored and used. Currently, GCE has three
regions: United States, Europe and Asia. Each region has two availability
zones and each zone supports either Ivy Bridge or Sandy Bridge processors.
GCE also offers a suite of tools for administrators to create advanced
networks on the regional level. GCE instances must be within a network to
ensure that only instances within the same network can see each other by
default.
Compute Engine is a pay-per-usage service
with a 10-minute minimum. There are no up-front fees or time-period
commitments. GCE competes with Amazon's Elastic Compute Cloud (EC2) and
Microsoft Azure.
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In
addition to this blog, I have authored the premiere book on
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Tuesday, August 5, 2014
Netiquette IQ Tecnical Term of The Day - Google Compute Engine
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