Exploring Cloud Computing Types: IaaS, PaaS, SaaS, and Beyond
Tags: cloud, cloudcomputing, saas, iaas
Published: 2023-04-10 16:45:08

---
title: Exploring Cloud Computing Types: IaaS, PaaS, SaaS, and Beyond
published: true
date: 2023-04-10 16:39:37 UTC
tags: #cloud #cloudcomputing #saas #iaas
canonical_url: https://blog.seancoughlin.me/exploring-cloud-computing-types-iaas-paas-saas-and-beyond
---

Decoding the Cloud Service Models: A Comprehensive Guide to SaaS, PaaS, and IaaS

![IaaS vs SaaS vs PaaS](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/y7bowgmad1oqq95wn254.png)

## Introduction

Cloud computing has become an essential part of modern software development, offering diverse services that cater to different requirements. In this post, we'll delve into the various cloud computing types, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), as well as some emerging specialized models, such as Function as a Service (FaaS) and Mobile Backend as a Service (MBaaS).

## Infrastructure as a Service (IaaS)

IaaS provides virtualized computing resources over the internet, including virtual machines, storage, and networking. With IaaS, users can provision and manage their infrastructure, giving them control over aspects such as operating systems, middleware, and runtime environments.

IaaS is suitable for organizations with fluctuating workloads or those looking to build custom applications from the ground up. Popular IaaS providers include [Amazon Web Services (AWS](https://aws.amazon.com)), [Microsoft Azure](https://azure.microsoft.com/en-us/), and [Google Cloud Platform (GCP)](https://cloud.google.com).

## Platform as a Service (PaaS)

PaaS offers a higher-level abstraction, providing a platform for developers to build, deploy, and manage applications without worrying about the underlying computers. PaaS typically includes tools and services to streamline the development process, such as databases, development frameworks, and application servers.

This model is ideal for teams focused on rapid application development and iteration. Examples of PaaS providers are [Heroku](https://www.heroku.com), [Google App Engine](https://cloud.google.com/appengine), [OCP](https://www.redhat.com/en/technologies/cloud-computing/openshift/container-platform), and [Microsoft Azure App Service](https://azure.microsoft.com/en-us/products/app-service/).

## Software as a Service (SaaS)

SaaS is the most abstracted cloud computing type, delivering fully functional software applications via the internet. Users access these applications through a web browser. The provider hosts, maintains, and updates the software on behalf of the user.

SaaS is suitable for businesses looking for ready-to-use applications without the need to develop or manage any underlying infrastructure. Examples of SaaS applications include Salesforce, Slack, Miro, and Google Workspace. Most applications delivered online follow this paradigm. For example, Netflix could be considered SaaS.

## Function as a Service (FaaS)

FaaS, also known as serverless computing, is an emerging cloud computing model that enables developers to write and deploy individual functions without managing servers. FaaS automatically scales with the number of function executions, and users are billed based on the actual function usage. This model is ideal for event-driven applications and microservices architectures. [AWS Lambda](https://aws.amazon.com/lambda/), [Azure Functions](https://azure.microsoft.com/en-us/products/functions/), and [Google Cloud Functions](https://cloud.google.com/functions) are popular FaaS offerings.

## Mobile Backend as a Service (MBaaS)

MBaaS, or Backend as a Service (BaaS), is a specialized cloud computing service that provides pre-built backend functionality for mobile and web applications. MBaaS platforms handle tasks such as user authentication, push notifications, data storage, and social media integrations, allowing developers to focus on creating the front-end user experience. Examples of MBaaS providers include [Firebase](https://firebase.google.com), [Parse](https://parseplatform.org), and [AWS Amplify](https://aws.amazon.com/amplify/).

## Other as-a-service models

There are [many other service models](https://en.wikipedia.org/wiki/As_a_service). Some of these include [banking as a service](https://en.wikipedia.org/wiki/Banking_as_a_service), [data as a service](https://en.wikipedia.org/wiki/Data_as_a_service), [logging as a service](https://en.wikipedia.org/wiki/Logging_as_a_service), and many others. Many of these blank-as-a-service models are recombinations or flavors of the previously mentioned varieties.

## Conclusion

Understanding the differences between various cloud computing types is crucial for businesses and developers looking to leverage the power of the cloud. Each model has its unique benefits and use cases, and selecting the right combination can significantly impact the efficiency and success of your software development projects. By carefully evaluating your organization's needs, you can choose the most suitable cloud computing model(s) and unlock the full potential of this transformative technology.

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This is just one part of a series I am writing about cloud computing. You can read more at [**https://blog.seancoughlin.me/series/cloud-computing**](https://blog.seancoughlin.me/series/cloud-computing).

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Originally published at https://blog.seancoughlin.me.