Azure Cloud Architecture Models Cheat Sheet
- Cloud computing is the delivery of services over the Internet that helps you reduce your operating costs, run your infrastructure efficiently, and scale as business requirements change.
- Benefits of cloud computing:
- Cost – eliminates capital expense.
- Global scale – ability to scale elastically.
- Performance – computing hardware is always upgraded to the latest generation.
- Security – data stored in the cloud has a broad set of policies, technologies, and controls.
- Speed – computing resources can be provisioned in minutes.
- Productivity – enables the customer to focus on business requirements instead of setting up on-site datacenters.
- Reliability – availability of your resources at all times.
- Benefits of cloud computing:
- Three deployment methods of cloud computing: Public vs Private vs Hybrid.
- The model you choose for cloud deployment depends on your budget, security, scalability, and maintenance needs.
- Focus on maintaining your applications without having to worry about purchasing, managing, or maintaining the hardware on which it runs.
- You can use multiple public cloud providers of varying scale.
Specific security requirements
Government policies, industry standards, or legal requirements
You are not responsible for the updates and maintenance of the hardware.
You don’t own the hardware or services and you also can’t manage them as you may want to.
The required technical knowledge is minimal.
Maintaining a legacy application might be hard to meet
- A dedicated on-premises datacenter configured to be a cloud environment that provides users in your organization with self-service access to compute resources.
- You are responsible for the purchase and maintenance of the hardware and software services.
- You can use a private cloud when an organization has data that cannot be put in the public cloud, perhaps for legal reasons.
Any scenario or legacy application configuration is supported.
CapEx involved – principal cost is the procurement of the equipment.
You have control (and responsibility) over security
To scale, you must buy, install, and set up new hardware
Compliance, or security requirements in your organization
Private clouds require IT skills and expertise
- Data and applications can move between private and public clouds.
- When there is a spike in demand in your private cloud, you can “burst through” to the public cloud for additional computing resources.
Maintain a private infrastructure for sensitive assets.
More expensive than selecting one deployment model since it involves some CapEx cost upfront
Take advantage of the resources in the public cloud when needed.
It can be more complicated to set up and manage
With the ability to scale to the public cloud, you pay for extra computing power only when needed.
Allows you to use your own equipment to meet the security and compliance requirements in your organization.
Validate Your Knowledge
Question Type: Drag and Drop
Match the cloud models to their correct definitions.
For more Azure practice exam questions with detailed explanations, check out the Tutorials Dojo Portal:
Azure Cloud Architecture Models Cheat Sheet Resources: