Embedded Files
Describe Cloud Concepts (20-25%)
Identify the benefits and considerations of using cloud services
identify the benefits of cloud computing, such as High Availability, Scalability, Elasticity, Agility, and Disaster Recovery
identify the differences between Capital Expenditure (CapEx) and Operational
Expenditure (OpEx)
describe the consumption-based model
Describe the differences between categories of cloud services
describe the shared responsibility model
describe Infrastructure-as-a-Service (IaaS),
describe Platform-as-a-Service (PaaS)
describe serverless computing
describe Software-as-a-Service (SaaS)
identify a service type based on a use case
Describe the differences between types of cloud computing
define cloud computing
describe Public cloud
describe Private cloud
describe Hybrid cloud
compare and contrast the three types of cloud computing
What is cloud computing?
Have you ever wondered what cloud computing is? It's the delivery of computing services over the internet, which is otherwise known as the cloud. These services include servers, storage, databases, networking, software, analytics, and intelligence. Cloud computing offers faster innovation, flexible resources, and economies of scale.
Why is cloud computing typically cheaper to use?
Cloud computing is the delivery of computing services over the internet by using a pay-as-you-go pricing model. You typically pay only for the cloud services you use, which helps you:
Lower your operating costs.
Run your infrastructure more efficiently.
Scale as your business needs change.
To put it another way, cloud computing is a way to rent compute power and storage from someone else's datacenter. You can treat cloud resources like you would your resources in your own datacenter. When you're done using them, you give them back. You're billed only for what you use.
Instead of maintaining CPUs and storage in your datacenter, you rent them for the time that you need them. The cloud provider takes care of maintaining the underlying infrastructure for you. The cloud enables you to quickly solve your toughest business challenges, and bring cutting-edge solutions to your users.
Why should I move to the cloud?
The cloud helps you move faster and innovate in ways that were once nearly impossible.
In our ever-changing digital world, two trends emerge:
Teams deliver new features to their users at record speeds.
Users expect an increasingly rich and immersive experience with their devices and with software.
Software releases were once scheduled in terms of months or even years. Today, teams release features in smaller batches that are often scheduled in days or weeks. Some teams even deliver software updates continuously--sometimes with multiple releases within the same day.
Think of all the ways you interact with devices that you couldn't do a few years ago. Many devices can recognize your face and respond to voice commands. Augmented reality changes the way you interact with the physical world. Household appliances are even beginning to act intelligently. These technologies are only a few examples, and many of them are powered by the cloud.
To power your services and deliver innovative and novel user experiences more quickly, the cloud provides on-demand access to:
A nearly limitless pool of raw compute, storage, and networking components.
Speech recognition and other cognitive services that help make your application stand out from the crowd.
Analytics services that deliver telemetry data from your software and devices.
What are some cloud computing advantages?
There are several benefits that a cloud environment has over a physical environment. For example, cloud-based applications employ a myriad of related strategies:
· Reliability: Depending on the service-level agreement that you choose, your cloud-based applications can provide a continuous user experience with no apparent downtime even when things go wrong.
· Scalability: Applications in the cloud can be scaled in two ways, while taking advantage of autoscaling:
Vertically: Computing capacity can be increased by adding RAM or CPUs to a virtual machine.
Horizontally: Computing capacity can be increased by adding instances of a resource, such as adding more virtual machines to your configuration.
· Elasticity: Cloud-based applications can be configured to always have the resources they need.
· Agility: Cloud-based resources can be deployed and configured quickly as your application requirements change.
· Geo-distribution: Applications and data can be deployed to regional datacenters around the globe, so your customers always have the best performance in their region.
· Disaster recovery: By taking advantage of cloud-based backup services, data replication, and geo-distribution, you can deploy your applications with the confidence that comes from knowing that your data is safe in the event that disaster should occur.
What are cloud service models?
Cloud computing falls into one of the following computing models. If you've been around cloud computing for a while, you've probably seen the terms infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) for the different cloud service models. These models define the different level of shared responsibility that a cloud provider and cloud tenant are responsible for.
What are cloud service models?
Computing model
Description
IaaS
This cloud service model is the closest to managing physical servers. A cloud provider keeps the hardware up to date, but operating system maintenance and network configuration is left to the cloud tenant. For example, Azure virtual machines are fully operational virtual compute devices running in Microsoft's datacenters. An advantage of this cloud service model is rapid deployment of new compute devices. Setting up a new virtual machine is considerably faster than procuring, installing, and configuring a physical server.
PaaS
This cloud service model is a managed hosting environment. The cloud provider manages the virtual machines and networking resources, and the cloud tenant deploys their applications into the managed hosting environment. For example, Azure App Services provides a managed hosting environment where developers can upload their web applications without having to deal with the physical hardware and software requirements.
SaaS
In this cloud service model, the cloud provider manages all aspects of the application environment, such as virtual machines, networking resources, data storage, and applications. The cloud tenant only needs to provide their data to the application managed by the cloud provider. For example, Office 365 provides a fully working version of Office that runs in the cloud. All that you need to do is create your content, and Office 365 takes care of everything else.
The following illustration demonstrates the services that might run in each of the cloud service models.
The following chart illustrates the various levels of responsibility between a cloud provider and a cloud tenant.
What is serverless computing?
Overlapping with PaaS, serverless computing enables developers to build applications faster by eliminating the need for them to manage infrastructure. With serverless applications, the cloud service provider automatically provisions, scales, and manages the infrastructure required to run the code. Serverless architectures are highly scalable and event-driven. They use resources only when a specific function or trigger occurs.
In understanding the definition of serverless computing, it's important to note that servers are still running the code. The serverless name comes from the fact that the tasks associated with infrastructure provisioning and management are invisible to the developer. This approach enables developers to increase their focus on the business logic and deliver more value to the core of the business. Serverless computing helps teams increase their productivity and bring products to market faster. It allows organizations to better optimize resources and stay focused on innovation.
What are public, private, and hybrid clouds?
There are three deployment models for cloud computing:
public cloud,
private cloud, and
hybrid cloud.
Each deployment model has different aspects that you should consider as you migrate to the cloud.
What are public, private, and hybrid clouds?
Deployment model
Description
Public cloud
Services are offered over the public internet and available to anyone who wants to purchase them. Cloud resources like servers and storage are owned and operated by a third-party cloud service provider and delivered over the internet.
Private cloud
Computing resources are used exclusively by users from one business or organization. A private cloud can be physically located at your organization's on-site datacenter. It also can be hosted by a third-party service provider.
Hybrid cloud
This computing environment combines a public cloud and a private cloud by allowing data and applications to be shared between them.
The following image illustrates several of the cloud computing concepts that are presented in this unit. In this example, several factors are demonstrated when you're considering where to deploy a database server in a hybrid cloud environment. As your resources move from on-premises to off-premises, your costs are reduced, and your administration requirements decrease.
Check your knowledge
1. Which of the following statements is not true about cloud computing?
· IaaS, PaaS, and SaaS are examples of cloud computing service models.
· Cloud computing resources are usually limited to specific geographic regions.
o Most cloud computing resources can be distributed to global datacenters.
· Cloud computing typically decreases your operating expenses.
· Three cloud computing deployment models are public cloud, private cloud, and hybrid cloud.
2. True or false: You need to purchase an Azure account before you can use any Azure resources.
False
You can use a free Azure account or a Microsoft Learn sandbox to create resources.
True
3. True or false: In an IaaS environment, the cloud tenant is responsible for routine hardware maintenance.
True
False
In an IaaS environment, the cloud provider is responsible for any hardware maintenance.
Azure resources and Azure Resource Manager
After you've created a subscription for Tailwind Traders, you're ready to start creating resources and storing them in resource groups. With that in mind, it's important to define those terms:
Resource: A manageable item that's available through Azure. Virtual machines (VMs), storage accounts, web apps, databases, and virtual networks are examples of resources.
Resource group: A container that holds related resources for an Azure solution. The resource group includes resources that you want to manage as a group. You decide which resources belong in a resource group based on what makes the most sense for your organization.
Azure resource groups
Resource groups are a fundamental element of the Azure platform. A resource group is a logical container for resources deployed on Azure. These resources are anything you create in an Azure subscription like VMs, Azure Application Gateway instances, and Azure Cosmos DB instances. All resources must be in a resource group, and a resource can only be a member of a single resource group. Many resources can be moved between resource groups with some services having specific limitations or requirements to move. Resource groups can't be nested. Before any resource can be provisioned, you need a resource group for it to be placed in.
Logical grouping
Resource groups exist to help manage and organize your Azure resources. By placing resources of similar usage, type, or location in a resource group, you can provide order and organization to resources you create in Azure. Logical grouping is the aspect that you're most interested in here, because there's a lot of disorder among our resources.
Life cycle
If you delete a resource group, all resources contained within it are also deleted. Organizing resources by life cycle can be useful in nonproduction environments, where you might try an experiment and then dispose of it. Resource groups make it easy to remove a set of resources all at once.
Authorization
Resource groups are also a scope for applying role-based access control (RBAC) permissions. By applying RBAC permissions to a resource group, you can ease administration and limit access to allow only what's needed.
Azure Resource Manager
Azure Resource Manager is the deployment and management service for Azure. It provides a management layer that enables you to create, update, and delete resources in your Azure account. You use management features like access control, locks, and tags to secure and organize your resources after deployment.
When a user sends a request from any of the Azure tools, APIs, or SDKs, Resource Manager receives the request. It authenticates and authorizes the request. Resource Manager sends the request to the Azure service, which takes the requested action. Because all requests are handled through the same API, you see consistent results and capabilities in all the different tools.
The benefits of using Resource Manager
With Resource Manager, you can:
Manage your infrastructure through declarative templates rather than scripts. A Resource Manager template is a JSON file that defines what you want to deploy to Azure.
Deploy, manage, and monitor all the resources for your solution as a group, rather than handling these resources individually.
Redeploy your solution throughout the development life cycle and have confidence your resources are deployed in a consistent state.
Define the dependencies between resources so they're deployed in the correct order.
Apply access control to all services because RBAC is natively integrated into the management platform.
Apply tags to resources to logically organize all the resources in your subscription.
Clarify your organization's billing by viewing costs for a group of resources that share the same tag.
Azure regions and availability zones
In the previous unit, you learned about Azure resources and resource groups. Resources are created in regions, which are different geographical locations around the globe that contain Azure datacenters.
Azure is made up of datacenters located around the globe. When you use a service or create a resource such as a SQL database or virtual machine (VM), you're using physical equipment in one or more of these locations. These specific datacenters aren't exposed to users directly. Instead, Azure organizes them into regions. As you'll see later in this unit, some of these regions offer availability zones, which are different Azure datacenters within that region.
Azure regions
A region is a geographical area on the planet that contains at least one but potentially multiple datacenters that are nearby and networked together with a low-latency network. Azure intelligently assigns and controls the resources within each region to ensure workloads are appropriately balanced.
When you deploy a resource in Azure, you'll often need to choose the region where you want your resource deployed.
Important
Some services or VM features are only available in certain regions, such as specific VM sizes or storage types. There are also some global Azure services that don't require you to select a particular region, such as Azure Active Directory, Azure Traffic Manager, and Azure DNS.
A few examples of regions are West US, Canada Central, West Europe, Australia East, and Japan West. Here's a view of all the available regions as of June 2020.
Why are regions important?
Azure has more global regions than any other cloud provider. These regions give you the flexibility to bring applications closer to your users no matter where they are. Global regions provide better scalability and redundancy. They also preserve data residency for your services.
Special Azure regions
Azure has specialized regions that you might want to use when you build out your applications for compliance or legal purposes. A few examples include:
US DoD Central, US Gov Virginia, US Gov Iowa and more: These regions are physical and logical network-isolated instances of Azure for U.S. government agencies and partners. These datacenters are operated by screened U.S. personnel and include additional compliance certifications.
China East, China North, and more: These regions are available through a unique partnership between Microsoft and 21Vianet, whereby Microsoft doesn't directly maintain the datacenters.
Regions are what you use to identify the location for your resources. There are two other terms you should also be aware of: geographies and availability zones.
Azure availability zones
You want to ensure your services and data are redundant so you can protect your information in case of failure. When you host your infrastructure, setting up your own redundancy requires that you create duplicate hardware environments. Azure can help make your app highly available through availability zones.
What is an availability zone?
Availability zones are physically separate datacenters within an Azure region. Each availability zone is made up of one or more datacenters equipped with independent power, cooling, and networking. An availability zone is set up to be an isolation boundary. If one zone goes down, the other continues working. Availability zones are connected through high-speed, private fiber-optic networks.
Supported regions
Not every region has support for availability zones. For an updated list, see Regions that support availability zones in Azure .
Use availability zones in your apps
You can use availability zones to run mission-critical applications and build high-availability into your application architecture by co-locating your compute, storage, networking, and data resources within a zone and replicating in other zones. Keep in mind that there could be a cost to duplicating your services and transferring data between zones.
Availability zones are primarily for VMs, managed disks, load balancers, and SQL databases. Azure services that support availability zones fall into two categories:
Zonal services: You pin the resource to a specific zone (for example, VMs, managed disks, IP addresses).
Zone-redundant services: The platform replicates automatically across zones (for example, zone-redundant storage, SQL Database).
Check the documentation to determine which elements of your architecture you can associate with an availability zone.
Azure region pairs
Availability zones are created by using one or more datacenters. There's a minimum of three zones within a single region. It's possible that a large disaster could cause an outage big enough to affect even two datacenters. That's why Azure also creates region pairs.
What is a region pair?
Each Azure region is always paired with another region within the same geography (such as US, Europe, or Asia) at least 300 miles away. This approach allows for the replication of resources (such as VM storage) across a geography that helps reduce the likelihood of interruptions because of events such as natural disasters, civil unrest, power outages, or physical network outages that affect both regions at once. If a region in a pair was affected by a natural disaster, for instance, services would automatically failover to the other region in its region pair.
Examples of region pairs in Azure are West US paired with East US and SouthEast Asia paired with East Asia.
Because the pair of regions is directly connected and far enough apart to be isolated from regional disasters, you can use them (region pair) to provide reliable services and data redundancy. Some services offer automatic geo-redundant storage by using region pairs.
Additional advantages of region pairs:
If an extensive Azure outage occurs, one region out of every pair is prioritized to make sure at least one is restored as quickly as possible for applications hosted in that region pair.
Planned Azure updates are rolled out to paired regions one region at a time to minimize downtime and risk of application outage.
Data continues to reside within the same geography as its pair (except for Brazil South) for tax- and law-enforcement jurisdiction purposes.
Having a broadly distributed set of datacenters allows Azure to provide a high guarantee of availability.
Azure terminology and concepts
Before you get started, let's review and discuss some basic terms and concepts that you'll need to know when you create your website.
What is App Service?
App Service is an HTTP-based service that enables you to build and host many types of web-based solutions without managing infrastructure. For example, you can host web apps, mobile back ends, and RESTful APIs in several supported programming languages. Applications developed in .NET, .NET Core, Java, Ruby, Node.js, PHP, or Python can run in and scale with ease on both Windows- and Linux-based environments.
For this exercise, we want to create a website in less than the time it takes to eat lunch. So, we're not going to write any code. Instead, you'll deploy a predefined application from Azure Marketplace.
What is Azure Marketplace?
Azure Marketplace is an online store that hosts applications that are certified and optimized to run in Azure. Many types of applications are available, ranging from AI and machine learning to web applications. As you'll see in a couple of minutes, deployments from the store are done via the Azure portal by using a wizard-style user interface. This user interface makes evaluating different solutions easy.
Source
Microsoft Learning, Feb 2021. For latest update please visit the original site.
Page updated
Google Sites
Report abuse