Azure has a handful of deployment models to consider when configuring a cloud solution. Specifically, there are three deployment models and they consist of what’s called Public Cloud, Private Cloud, and Hybrid Cloud. Each deployment model has advantages and disadvantages based on the goals of the business use case. Let’s take a look at the three different Azure Cloud Deployment Models and see what they entail now.
The Public Cloud deployment model is the most common type of cloud computing deployment. In this approach cloud resources are owned and operated by Microsoft Azure and delivered over the internet. All hardware, software, and supporting infrastructure are owned and managed by Microsoft.
Each organization makes use of what is known as a tenant that makes it possible to share the same hardware, storage, and network devices with other businesses. To access services and manage your account all you need is a web browser. Web-based email, online office applications, storage, and testing and development environments are some common types of Public Cloud Deployments.
In the Private Cloud deployment model, we have cloud computing resources used exclusively by one business or organization. A private cloud can be physically located at your business’s data center, or it can be hosted by a third-party service provider. The key concept to understand with the Private Cloud deployment is that the services and infrastructure are always maintained on a private network and the hardware and software are dedicated exclusively to one organization.
When privacy and security are of paramount importance, then the Private Cloud is a good choice. As such you often see government agencies, financial institutions, and other organizations with business-critical operations leveraging the Private Cloud. A private cloud offers a very high level of Information Technology customization and granularity.
The hybrid cloud deployment model combines on-premises private cloud with a public cloud. This makes it possible for data and applications to move between the two environments.
The hybrid cloud deployment model is a popular choice when regulatory and data sovereignty requirements are at stake. Hybrid can also make use of Edge computing which brings the computing power of the cloud to the Internet of Things devices closer to where the data resides. As workloads move to the edge, devices spend less time communicating with the cloud which reduces latency and may even facilitate offline operation for periods of time.
Cloud Deployment Models Pros And Cons
Each of the three cloud deployment models has pros and cons. Here is a table that lists out the positive and negative aspects of Public Cloud, Private Cloud, and Hybrid Cloud.
- Most Cost-Effective
- Security Controls By Default
- Might not meet security requirements
- Limited level of configuration based on what the cloud service provider exposes to you
- In-depth knowledge of underlying infrastructure is not needed
- Most Expensive
- No guarantee it is secure
- Can meet high security if you put in the work
- You can configure the infrastructure however you like
- You need to know in-depth how to configure all levels of your infrastructure
- Can be expensive
- You now must secure the connection to the cloud
- Can meet all security requirements
- Best of both worlds configuration ability
- You need to be very savvy to configure all levels of private and cloud infrastructure services
Emerging: Cross Cloud
As discussed above the Public Cloud, Private Cloud and Hybrid Cloud are the 3 main deployment model types in cloud computing. A new and emerging cloud deployment model is the Cross-Cloud deployment model which makes use of multiple cloud service providers. It is also known as Multi-Cloud. Azure has a service called Azure Arc which extends your control plane allowing you to run containers on different platforms such as Amazon Web Services or Google Kubernetes Engine. Even though you have services running on multiple clouds, they are treated as if they are all on the same network. Cross cloud is becoming very popular with large organizations that have very unique requirements.
Learn More About Azure Cloud Deployment Models
- New Azure Cloud Services Deployment Model Now Generally Available (azure.microsoft.com)
- Which Azure Deployment Model Should You Use (dzone.com)
- Top 3 Cloud Deployment Models You Need To Know About (blog.hensongroup.com)
- Cloud Computing Deployment Models (k21academy.com)
- Choosing Your Azure Deployment Model (lunavi.com)
- Azure Deployment Models (stackify.com)
- Azure Cloud Deployment Models (learnsalesforce.co)
- Explain Azure Cloud Types And Deployment Models (coursehero.com)
- Computer Science Cloud Deployment Model (sciencedirect.com)
- Cloud Deployment Models Explaining And Comparing (launchdarkly.com)
- Types Of Cloud Computing (aws.amazon.com)
- Phoenixnap.com Blog Cloud Deployment Models (phoenixnap.com)
- 4 Cloud Deployment Models Comparison (capitalone.com)