There it offer the industry-leading local SSD performance

There are several could service that
provide by Google such as compute, storage and database, networking, identity
and security, and internet. These services are require user to pay for the
usage, the price is depends on the usage of sub services that user choose on
each main services or the time of using the service such as hourly or monthly.

The service that our
group decide to choose is the Compute service. Compute is like virtual computer
that using internet which usually known as “the cloud”. Furthermore, the
examples for compute cloud services are virtual computer engine and app engine.
The sub services that exist in Google compute cloud service such as Compute
Engine, App Engine, Kubernetes Engine and Cloud FuntionsBETA.

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There are three major
types of cloud service that commonly been issued by many company such as
infrastructure-as-a-service(IaaS), platform-as-a-service(PaaS), and
software-as-a-service(SaaS). IaaS is the fundamental category of cloud
computing services. It allow you to rent a IT infrastructure such as virtual
machines(VMs), storage, network, operating systems without buying a physical
component for saving cost purpose. While, PaaS is the cloud computing services
that supply an environment for developing, testing, delivering and managing
software applications. The objective is to help the developers to create web or
mobile apps in a short period. Other that, SaaS is a way that provides software
applications over the Internet. SaaS provide host and management for the
software application and underlying infrastructure and manage any maintenance
such as software upgrades and security patching.

According to Google (
Compute Engine – IaaS, n.d.), Compute Engine service which is a sub service for
Google compute cloud service is an example of the
infrastructure-as-a-service(IaaS), it provides virtual machines(VM) which is
execute in Google innovative data centers and global fiber network. The tools
and workflow for compute engine is allow scaling from single instances to
global and load-balanced cloud computing. It also provides prefix sizes or
enables the user to make some configuration on the VM such as create custom
machine type. The Google VM will boot up within a few second because it offer the
industry-leading local SSD performance with a constant disk storage which is
faster than our normal hard disk (HDD), and provide stable performance by using
the powerful and persistent cross-machine bandwidth such as Google’s private
global fiber network which enable to check the network configurations and run
some tests. The price for compute engine is depend on the machine type and the
machine class is regular or preemptible, such as standard machine, high-memory
machine, high-CPU machine, mega-memory machine and custom machine. For example
the standard machine price for n1-standard-1(regular) machine is $0.0475USD but
for preemptible version is $0.0100USD (Google Compute Engine Pricing, 2017 dec
11).  For further information please
refer to Apendix.

The example for
platform-as-a-service(PaaS) is fall to App Engine, it is platforms that enable
the user to develop the web and mobile application (App Engine – Build Scalable
Web & Mobile Backends in Any Language, n.d.). App Engine support many
programming language such as Nodes.js, Java, Ruby, C#, Go, Python, and PHP.
Other that, App Engine also provide firewall and enables user to add any
library and framework to App Engine by using Docker containers. Furthermore,
Google’s world-class network infrastructure enables the App Engine which in
heavy work loads with very low latency. As addition, App Engine is very
flexible also that allows user to specific their App specification for CPU and
RAM requirement and the App Engine will be automatically provide the
infrastructure that meet the specific requirement so the developer can pay more
focus on coding part without worrying the infrastructure such as handle
traffic, load balancing, and updates to the underlying OS. The price for App
Engine service are depend on instance class, computing resource, cloud
datastore, search, and other resource. For an example, instance class B1 cost
$0.05USD per hour per instance (App Engine Pricing, 2017). Please refer to
Apendix for more price information.

For the software-as-a-service(SaaS)
example is Kebernetes Engine (Google Kubernetes Engine, n.d.). Kebernetes
Engine is developing by Google which has history about 15 years. It is
containerized application that store your application in a container
environment which using the resource in efficient method, increase developer
productivity, automated operation and flexibility of open source. Other that,
Kubernetes Engine not can only to build stateless application but also can
attach to persistent storage and execute database in your cluster. As addition,
this service also help user to provide and automatically manage the user cloud
resources. There are some cool feature that provide by this engine such as auto
upgrade the cluster to latest version of Kubernetes Engine, auto repair if a
node fails, allow user to limit the application on memory and CPU usage, identity
and access management, Google Cloud VPN, monitoring the application when it’s running,
high security level which backed by Google security team over 750 expert and open
source portability that allow user to import data that from other Kubernetes
platforms that across the cloud. The price for this service is depends on
Compute Engine machine type and the total number of nodes(Kubernetes Engine,
2017).

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