Author: ultroni1

What are cloud models? The cloud models define the deployment type of cloud resources. The three main cloud models are: private, public, and hybrid.

Private cloud

Let’s start with a private cloud. A private cloud is, in some ways, the natural evolution from a corporate datacenter. It’s a cloud (delivering IT services over the internet) that’s used by a single entity. Private cloud provides much greater control for the company and its IT department. However, it also comes with greater cost and fewer of the benefits of a public cloud deployment. Finally, a private cloud may be hosted from your on site datacenter. It may also be hosted in a dedicated datacenter offsite, potentially even by a third party that has dedicated that datacenter to your company.

Public cloud

A public cloud is built, controlled, and maintained by a third-party cloud provider. With a public cloud, anyone that wants to purchase cloud services can access and use resources. The general public availability is a key difference between public and private clouds.

Hybrid cloud

A hybrid cloud is a computing environment that uses both public and private clouds in an inter-connected environment. A hybrid cloud environment can be used to allow a private cloud to surge for increased, temporary demand by deploying public cloud resources. Hybrid cloud can be used to provide an extra layer of security. For example, users can flexibly choose which services to keep in public cloud and which to deploy to their private cloud infrastructure.

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You may have heard of the shared responsibility model, but you may not understand what it means or how it impacts cloud computing.

Start with a traditional corporate datacenter. The company is responsible for maintaining the physical space, ensuring security, and maintaining or replacing the servers if anything happens. The IT department is responsible for maintaining all the infrastructure and software needed to keep the datacenter up and running. They’re also likely to be responsible for keeping all systems patched and on the correct version.

With the shared responsibility model, these responsibilities get shared between the cloud provider and the consumer. Physical security, power, cooling, and network connectivity are the responsibility of the cloud provider. The consumer isn’t collocated with the datacenter, so it wouldn’t make sense for the consumer to have any of those responsibilities.

At the same time, the consumer is responsible for the data and information stored in the cloud. (You wouldn’t want the cloud provider to be able to read your information.) The consumer is also responsible for access security, meaning you only give access to those who need it.

Then, for some things, the responsibility depends on the situation. If you’re using a cloud SQL database, the cloud provider would be responsible for maintaining the actual database. However, you’re still responsible for the data that gets ingested into the database. If you deployed a virtual machine and installed an SQL database on it, you’d be responsible for database patches and updates, as well as maintaining the data and information stored in the database.

With an on-premises datacenter, you’re responsible for everything. With cloud computing, those responsibilities shift. The shared responsibility model is heavily tied into the cloud service types (covered later in this learning path): infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS places the most responsibility on the consumer, with the cloud provider being responsible for the basics of physical security, power, and connectivity. On the other end of the spectrum, SaaS places most of the responsibility with the cloud provider. PaaS, being a middle ground between IaaS and SaaS, rests somewhere in the middle and evenly distributes responsibility between the cloud provider and the consumer.

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Cloud computing is the delivery of computing services over the internet. Computing services include common IT infrastructure such as virtual machines, storage, databases, and networking. Cloud services also expand the traditional IT offerings to include things like Internet of Things (IoT), machine learning (ML), and artificial intelligence (AI).

Because cloud computing uses the internet to deliver these services, it doesn’t have to be constrained by physical infrastructure the same way that a traditional datacenter is. That means if you need to increase your IT infrastructure rapidly, you don’t have to wait to build a new datacenter—you can use the cloud to rapidly expand your IT footprint.

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You may have heard of the shared responsibility model, but you may not understand what it means or how it impacts cloud computing.

Start with a traditional corporate datacenter. The company is responsible for maintaining the physical space, ensuring security, and maintaining or replacing the servers if anything happens. The IT department is responsible for maintaining all the infrastructure and software needed to keep the datacenter up and running. They’re also likely to be responsible for keeping all systems patched and on the correct version.

With the shared responsibility model, these responsibilities get shared between the cloud provider and the consumer. Physical security, power, cooling, and network connectivity are the responsibility of the cloud provider. The consumer isn’t collocated with the datacenter, so it wouldn’t make sense for the consumer to have any of those responsibilities.

At the same time, the consumer is responsible for the data and information stored in the cloud. (You wouldn’t want the cloud provider to be able to read your information.) The consumer is also responsible for access security, meaning you only give access to those who need it.

Then, for some things, the responsibility depends on the situation. If you’re using a cloud SQL database, the cloud provider would be responsible for maintaining the actual database. However, you’re still responsible for the data that gets ingested into the database. If you deployed a virtual machine and installed an SQL database on it, you’d be responsible for database patches and updates, as well as maintaining the data and information stored in the database.

With an on-premises datacenter, you’re responsible for everything. With cloud computing, those responsibilities shift. The shared responsibility model is heavily tied into the cloud service types (covered later in this learning path): infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). IaaS places the most responsibility on the consumer, with the cloud provider being responsible for the basics of physical security, power, and connectivity. On the other end of the spectrum, SaaS places most of the responsibility with the cloud provider. PaaS, being a middle ground between IaaS and SaaS, rests somewhere in the middle and evenly distributes responsibility between the cloud provider and the consumer.

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Cloud computing is the delivery of computing services over the internet. Computing services include common IT infrastructure such as virtual machines, storage, databases, and networking. Cloud services also expand the traditional IT offerings to include things like Internet of Things (IoT), machine learning (ML), and artificial intelligence (AI).

Because cloud computing uses the internet to deliver these services, it doesn’t have to be constrained by physical infrastructure the same way that a traditional datacenter is. That means if you need to increase your IT infrastructure rapidly, you don’t have to wait to build a new datacenter—you can use the cloud to rapidly expand your IT footprint.

This short video provides a quick introduction to cloud computing.

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In this module, you’ll be introduced to general cloud concepts. You’ll start with an introduction to the cloud in general. Then you’ll dive into concepts like shared responsibility, different cloud models, and explore the unique pricing method for the cloud.

If you’re already familiar with cloud computing, this module may be largely review for you.

Learning objectives

After completing this module, you’ll be able to:

• Define cloud computing.
• Describe the shared responsibility model.
• Define cloud models, including public, private, and hybrid.
• Identify appropriate use cases for each cloud model.
• Describe the consumption-based model.
• Compare cloud pricing models.

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Microsoft Azure is a cloud computing platform with an ever-expanding set of services to help you build solutions to meet your business goals. Azure services support everything from simple to complex. Azure has simple web services for hosting your business presence in the cloud. Azure also supports running fully virtualized computers managing your custom software solutions. Azure provides a wealth of cloud-based services like remote storage, database hosting, and centralized account management. Azure also offers new capabilities like artificial intelligence (AI) and Internet of Things (IoT) focused services.

In this series, you’ll cover cloud computing basics, be introduced to some of the core services provided by Microsoft Azure, and will learn more about the governance and compliance services that you can use.

What is Azure Fundamentals?

Azure Fundamentals is a series of three learning paths that familiarize you with Azure and its many services and features.

Whether you’re interested in compute, networking, or storage services; learning about cloud security best practices; or exploring governance and management options, think of Azure Fundamentals as your curated guide to Azure.

Azure Fundamentals includes interactive exercises that give you hands-on experience with Azure. Many exercises provide a temporary Azure portal environment called the sandbox, which allows you to practice creating cloud resources for free at your own pace.

Technical IT experience isn’t required; however, having general IT knowledge will help you get the most from your learning experience.

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When you browse to a webpage, the web server communicates with your browser by using HTML, CSS, and JavaScript. For example, If you interact with the page by submitting a sign-in form or selecting a buy button, the browser sends the information back to the web server.

In a similar way, web servers can communicate with a broad range of clients (browsers, mobile devices, other web servers, and more) by using web services. API clients communicate with the server over HTTP, and the two exchange information by using a data format such as JSON or XML. APIs are often used in single-page applications (SPAs) that perform most of the user-interface logic in a web browser. Communication with the web server primarily happens through web APIs.

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The building blocks of Power BI are semantic models and visualizations. Create a semantic model and then use visuals to build a report. Let’s explore these items in more detail and how they relate to the flow of Power BI.

Create a semantic model

A semantic model consists of all connected data, transformations, relationships, and calculations. To follow the flow of Power BI, you first connect to data, transform data, and create relationships and calculations to create a semantic model.

First, connect to as many data sources you need. Then clean and transform the data to your needs, using Power Query Editor. Add relationships between tables and calculations to extend the semantic model. After all of that, now you can create a report.

Create visualizations in a report

In Power BI Desktop, when you create a visualization (also called visual), you add it to the canvas for a report page. Choose your visualizations to build pages in your report. It’s ideal to keep each page simple with related data, so consumers can easily see the insights.

Power BI is a low-code solution, which means that you can “drag and drop” data field directly onto the canvas. Power BI will choose a visual for your data field. You can easily change between visuals for the same fields, and add or remove data fields to the visual.

One of the most valuable features of Power BI reports is the interactivity between visuals. Consumers can select different data points in the visual and see how that affects the other visuals. Depending on your design, they can also drillthrough from one visual to more detail or filter based on different fields in the report.

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Software as a service (SaaS) is the most complete cloud service model from a product perspective. With SaaS, you’re essentially renting or using a fully developed application. Email, financial software, messaging applications, and connectivity software are all common examples of a SaaS implementation.

While the SaaS model may be the least flexible, it’s also the easiest to get up and running. It requires the least amount of technical knowledge or expertise to fully employ.

Shared responsibility model

The shared responsibility model applies to all the cloud service types. SaaS is the model that places the most responsibility with the cloud provider and the least responsibility with the user. In a SaaS environment you’re responsible for the data that you put into the system, the devices that you allow to connect to the system, and the users that have access. Nearly everything else falls to the cloud provider. The cloud provider is responsible for physical security of the datacenters, power, network connectivity, and application development and patching.

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