AWS Certification Exam, Defining the use case, Technical requirements, Types of interoperability

Cloud computing deployment models– Working with Cloud Computing to Power IoT Solutions

There are three types of cloud computing deployment models, as follows:

Public cloud: A public cloud is managed by an external entity and can be accessed by users online. They are usually the most cost-effective and easy to use, as you do not have to take care of the underlying infrastructure and maintenance.

Private cloud: A private cloud is owned and operated by an organization, usually used to host sensitive or proprietary data. Such clouds can be located on-premises, in a data center, or within a third-party provider’s data center. They are usually more expensive than public clouds, but they offer more control over your infrastructure, given that you have direct access to all the hardware that you use.

Hybrid cloud: A hybrid cloud is a combination of both public and private clouds. The model lets you leverage the cost and scalability benefits of public clouds while maintaining the control that you have over private clouds. These are usually used to host sensitive data and applications within a private cloud while using a public cloud for workloads that are less critical.

Now that we have a good understanding of the fundamentals of the cloud, we will discuss services that are part of AWS that we can highlight as part of IoT and investigate for our use cases.

Services to work with for IoT

In this section, we will look at the different services that are used within AWS for IoT and talk through a practical exercise that will show you how you can utilize some of them to make a simple IoT system.

There are a number of services in AWS that make working with IoT within it very powerful. In this chapter, we will highlight six of those services and show how you can use them within your own deployments.

Identity Access Manager (IAM)

Identity Access Manager (IAM) is a service that helps users/organizations control access to their AWS resources. This enables them to create and manage users and groups and define permissions for them to access AWS resources such as S3 buckets, EC2 instances, or Amazon Relational Database Service (RDS) databases. An S3 bucket is a storage solution offered by AWS, designed to hold vast amounts of data in a scalable, secure, and web-accessible environment. RDS is also an AWS offering that provides managed relational database instances, simplifying the process of setting up, operating, and scaling a database in the cloud.

IAM ensures that sensitive information is kept secure and that only the right people can access the information that they are allowed to access. Organizations can also use it to manage and audit access to AWS resources and ensure that they are compliant with regulatory requirements. Additionally, IAM can work with other AWS services and third-party identity providers to ensure that customers use single sign-on as part of enhanced security and best practices alongside other advanced identity management features.

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