Cloud Service Models

Contents

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Course Intro
What is the Cloud?
2
Cloud Computing
PREVIEW7m 3s
Cloud vs On-Premises
Course Conclusion
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Overview
Difficulty
Beginner
Duration
36m
Students
1316
Ratings
5/5
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Description

Before attempting to implement Cloud technologies, you first need to understand what it is exactly and what options are available.  This course covers a wide range of Cloud-related topics and provides you with a solid foundation of knowledge.

We will start by looking at what Cloud Computing is and describing the three main types: Public, Private and Hybrid.  Then we will look at key concepts and the different service models (including IaaS, PaaS, and SaaS).  Finally, we will discuss common use case scenarios as well as the differences between a traditional on-premises data center. 

If you have any comments or feedback, feel free to reach out to us at support@cloudacademy.com.

Learning Objectives

  • A clear definition of Cloud computing
  • An understanding of basic Cloud concepts
  • Familiarity with the main Cloud types and services
  • Common use cases for Cloud computing
  • Comparisons with on-premises data centers

Intended Audience

  • Anyone who wants to learn about Cloud Computing

Prerequisites

  • General knowledge of computers and the internet
  • Basic understanding of data centers and servers
Transcript

There are many different types of services available in the cloud. These services can typically be grouped into a few different models. I'm now going to talk about the three most common, infrastructure as a service, platform as a service and software as a service. You've probably used many examples of software as a service, or SaaS, without even realizing it. SaaS offerings are ready to use applications. There's nothing to install or maintain. Users can simply access the application over the internet. Probably one of the most well-known examples of this would be Google Gmail. Any user can sign in and access their email over the internet. You don't have to install anything. As long as you can bring up a browser, you're good to go.

SaaS offerings require little to no setup, but usually offer the least amount of customization. Platform as a service offers a greater level of control, but it requires more setup. Essentially, you're given access to a certain environment and you can build or run whatever you want on it. The underlying architecture, the hardware operating system, and maybe even things like libraries, those are all managed by the cloud vendor. Basically this gives developers a simple platform to deploy and run code on. They can concentrate on writing software and they don't have to waste a lot of time maintaining, upgrading and patching servers.

The highest level of customization offered is on infrastructure as a service. Now these services give you the option of architecting your own virtual data center. You can start out by configuring a virtual network with routers, firewalls and private IP address ranges. Then you can configure different virtual machine instances. You pick the operating system at the libraries, install any applications. It feels a lot closer to your traditional on premises data center. Now, this service does offer the highest level of customization and control, however, the underlying hardware is still managed by the vendor. So you're not going to have complete control and there are going to be some limits on what you can and cannot change. Now, these aren't the only service models available. You have other ones like disaster recovery as a service communications as a service and monitoring as a service. For the purposes of this course, we're not going to go that deep. However, you should be aware that more and more of these services are popping up all over the industry.

About the Author
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Daniel Mease
Google Cloud Content Creator
Students
2751
Courses
12
Learning Paths
5

Daniel began his career as a Software Engineer, focusing mostly on web and mobile development. After twenty years of dealing with insufficient training and fragmented documentation, he decided to use his extensive experience to help the next generation of engineers.

Daniel has spent his most recent years designing and running technical classes for both Amazon and Microsoft. Today at Cloud Academy, he is working on building out an extensive Google Cloud training library.

When he isn’t working or tinkering in his home lab, Daniel enjoys BBQing, target shooting, and watching classic movies.

Covered Topics