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In the traditional computing model,
infrastructure is thought of as hardware. Hardware solutions
are physical, which means they require space, staff, physical security, planning, and capital
expenditure.
Cloud computing models
Cloud Service Models
Infrastructure as a Service (IaaS)
Platform as a Service (PaaS)
Software as a Service (SaaS)
Infrastructure as a service (IaaS):
Services in this category are the basic building blocks for
cloud IT and typically provide you with access to networking features, computers (virtual or on
dedicated hardware), and data storage space. IaaS provides you with the highest level of
flexibility and management control over your IT resources. It is the most similar to existing IT
resources that many IT departments and developers are familiar with today
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Platform as a service (PaaS):
Services in this category reduce the need for you to manage the underlying infrastructure
(usually hardware and operating systems) and enable you to focus on the deployment and
management of your applications
Software as a service (SaaS):
Services in this category provide you with a completed product that the service provider runs and
manages. In most cases, software as a service refers to end-user applications. With a SaaS
offering, you do not have to think about how the service is maintained or how the underlying
infrastructure is managed. You need to think only about how you plan to use that particular piece
of software.
Cloud computing deployment model
Cloud, hybrid, on premises (private cloud)
Cloud
A cloud-based application is fully deployed in the cloud, and all parts of the application run in
the cloud. Applications in the cloud have either been created in the cloud or have been
migrated from an existing infrastructure to take advantage of
the benefits of cloud computing
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2027 Update) Cloud Foundations guide|
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A hybrid deployment
is a way to connect infrastructure and applications between cloud-based resources and existing
resources that are not located in the cloud. The most common method of hybrid deployment is
between the cloud and existing on-premises infrastructure. This model enables an organization to
extend and grow their infrastructure into the cloud while connecting cloud resources to internal
systems.
On-premises (Private Cloud):
Deploying resources on-premises, using virtualization and resource management tools, is
sometimes called private cloud. While on-premises deployment does not provide many of the
benefits of cloud computing, it is sometimes sought for its ability to provide dedicated resources.
In most cases, this deployment model is the same as legacy IT infrastructure, but it might also
use application management and virtualization technologies to increase resource utilization.
There are many similarities between AWS and the traditional, on-premises IT space:
•AWS security groups, network access control lists (network ACLs), and AWS Identity and
Access Management (IAM) are similar to firewalls, access control lists (ACLs), and
administrators.
•Elastic Load Balancing and Amazon Virtual Private Cloud (Amazon VPC) are similar to
routers, network pipelines, and switches.
•Amazon Machine Images (AMIs) and Amazon Elastic Compute Cloud (Amazon EC2) instances
are similar to on-premises servers.
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•Amazon Elastic Block Store (Amazon EBS), Amazon Elastic File System (Amazon EFS),
Amazon Simple Storage Service (Amazon S3), and Amazon Relational Database Service
(Amazon RDS) are similar to direct attached storage (DAS), storage area networks (SAN),
network attached storage (NAS), and a relational database management service (RDBMS).
With AWS services and features, you can do almost everything that you would want to do with a
traditional data center
6 Advantages of cloud computing
- Trade capital expense for variable expense
- Benefit from massive economies of scale
- Stop guessing capacity
- Increase speed and agility
- Stop spending money running and maintaining data centers
- Go global in minutes
Web service
An application provisioned using the internet
Categories of AWS services