Microsoft Azure Fundamentals: Describe cloud concepts Flashcards
Define cloud computing.
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).
Describe the shared responsibility model.
You’ll always be responsible for:
The information and data stored in the cloud
Devices that are allowed to connect to your cloud (cell phones, computers, and so on)
The accounts and identities of the people, services, and devices within your organization
The cloud provider is always responsible for:
The physical datacenter
The physical network
The physical hosts
Your service model will determine responsibility for things like:
Operating systems
Network controls
Applications
Identity and infrastructure
Describe the consumption-based model.
Compare cloud pricing models.
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:
-Plan and manage 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 resources in your own datacenter. However, unlike in your own datacenter, when you’re done using cloud resources, 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.
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.
Multi-cloud
A fourth, and increasingly likely scenario is a multi-cloud scenario. In a multi-cloud scenario, you use multiple public cloud providers. Maybe you use different features from different cloud providers. Or maybe you started your cloud journey with one provider and are in the process of migrating to a different provider. Regardless, in a multi-cloud environment you deal with two (or more) public cloud providers and manage resources and security in both environments.
Azure Arc
Azure Arc is a set of technologies that helps manage your cloud environment. Azure Arc can help manage your cloud environment, whether it’s a public cloud solely on Azure, a private cloud in your datacenter, a hybrid configuration, or even a multi-cloud environment running on multiple cloud providers at once.
Azure VMware Solution
What if you’re already established with VMware in a private cloud environment but want to migrate to a public or hybrid cloud? Azure VMware Solution lets you run your VMware workloads in Azure with seamless integration and scalability.
According to the shared responsibility model, which cloud service type places the most responsibility on the customer?
Infrastructure as a Service (IaaS)
IaaS places the most responsibility on the consumer, with the cloud provider being responsible for the basics of physical security, power, and connectivity.
Which cloud model uses some datacenters focused on providing cloud services to anyone that wants them, and some data centers that are focused on a single customer?
Hybrid cloud
The hybrid cloud model is a combination of public cloud and private cloud, using both datacenters dedicated solely to one customer and datacenters that are shared with the public.
High availability
When you’re deploying an application, a service, or any IT resources, it’s important the resources are available when needed. High availability focuses on ensuring maximum availability, regardless of disruptions or events that may occur.
When you’re architecting your solution, you’ll need to account for service availability guarantees. Azure is a highly available cloud environment with uptime guarantees depending on the service. These guarantees are part of the service-level agreements (SLAs).
Difference between a 99% availability and 99.9% availability?
A server with 99% availability can be down for up to 432 min/month. Where a 99.9% availability can only be down 43.2 min/month.
Scalability
Another major benefit of cloud computing is the scalability of cloud resources. Scalability refers to the ability to adjust resources to meet demand. If you suddenly experience peak traffic and your systems are overwhelmed, the ability to scale means you can add more resources to better handle the increased demand.
The other benefit of scalability is that you aren’t overpaying for services. Because the cloud is a consumption-based model, you only pay for what you use. If demand drops off, you can reduce your resources and thereby reduce your costs.
Scaling generally comes in two varieties: vertical and horizontal. Vertical scaling is focused on increasing or decreasing the capabilities of resources. Horizontal scaling is adding or subtracting the number of resources.
Vertical scaling
With vertical scaling, if you were developing an app and you needed more processing power, you could vertically scale up to add more CPUs or RAM to the virtual machine. Conversely, if you realized you had over-specified the needs, you could vertically scale down by lowering the CPU or RAM specifications.
Horizontal scaling
With horizontal scaling, if you suddenly experienced a steep jump in demand, your deployed resources could be scaled out (either automatically or manually). For example, you could add additional virtual machines or containers, scaling out. In the same manner, if there was a significant drop in demand, deployed resources could be scaled in (either automatically or manually), scaling in.
Reliability
Reliability is the ability of a system to recover from failures and continue to function. It’s also one of the pillars of the Microsoft Azure Well-Architected Framework.
The cloud, by virtue of its decentralized design, naturally supports a reliable and resilient infrastructure. With a decentralized design, the cloud enables you to have resources deployed in regions around the world. With this global scale, even if one region has a catastrophic event other regions are still up and running. You can design your applications to automatically take advantage of this increased reliability. In some cases, your cloud environment itself will automatically shift to a different region for you, with no action needed on your part. You’ll learn more about how Azure leverages global scale to provide reliability later in this series.
Predictability
Predictability in the cloud lets you move forward with confidence. Predictability can be focused on performance predictability or cost predictability. Both performance and cost predictability are heavily influenced by the Microsoft Azure Well-Architected Framework. Deploy a solution that’s built around this framework and you have a solution that’s cost and performance predictable.
Performance
Performance predictability focuses on predicting the resources needed to deliver a positive experience for your customers. Autoscaling, load balancing, and high availability are just some of the cloud concepts that support performance predictability. If you suddenly need more resources, autoscaling can deploy additional resources to meet the demand, and then scale back when the demand drops. Or if the traffic is heavily focused on one area, load balancing will help redirect some of the overload to less stressed areas.
Cost
Cost predictability is focused on predicting or forecasting the cost of the cloud spend. With the cloud, you can track your resource use in real time, monitor resources to ensure that you’re using them in the most efficient way, and apply data analytics to find patterns and trends that help better plan resource deployments. By operating in the cloud and using cloud analytics and information, you can predict future costs and adjust your resources as needed. You can even use tools like the Total Cost of Ownership (TCO) or Pricing Calculator to get an estimate of potential cloud spend.
Describe the benefits of security and governance in the cloud
Whether you’re deploying infrastructure as a service or software as a service, cloud features support governance and compliance. Things like set templates help ensure that all your deployed resources meet corporate standards and government regulatory requirements. Plus, you can update all your deployed resources to new standards as standards change. Cloud-based auditing helps flag any resource that’s out of compliance with your corporate standards and provides mitigation strategies. Depending on your operating model, software patches and updates may also automatically be applied, which helps with both governance and security.
On the security side, you can find a cloud solution that matches your security needs. If you want maximum control of security, infrastructure as a service provides you with physical resources but lets you manage the operating systems and installed software, including patches and maintenance. If you want patches and maintenance taken care of automatically, platform as a service or software as a service deployments may be the best cloud strategies for you.
And because the cloud is intended as an over-the-internet delivery of IT resources, cloud providers are typically well suited to handle things like distributed denial of service (DDoS) attacks, making your network more robust and secure.
By establishing a good governance footprint early, you can keep your cloud footprint updated, secure, and well managed.
Describe the benefits of manageability in the cloud
A major benefit of cloud computing is the manageability options. There are two types of manageability for cloud computing that you’ll learn about in this series, and both are excellent benefits.
Management of the cloud
Management in the cloud
Management of the cloud
Management of the cloud speaks to managing your cloud resources. In the cloud, you can:
Automatically scale resource deployment based on need.
Deploy resources based on a preconfigured template, removing the need for manual configuration.
Monitor the health of resources and automatically replace failing resources.
Receive automatic alerts based on configured metrics, so you’re aware of performance in real time.