Cloud Computing Deployment Models And Architectures

The hybrid deployment model refers to devising an infrastructure and applications connectivity between cloud-based resources and legacy resources that are located on-premise. A hybrid deployment is the best model for companies new to AWS integration for steady business augmentation. In the public cloud, we get hassle-free infrastructure management. There is no one-size-fits-all approach to picking a cloud deployment model.

We employ a dual-shift approach to help you plan capacity proactively for increased ROI and faster delivery. From rapid prototyping to iterative development, we help you validate your idea and make it a reality. The disadvantage of SaaS is that since most of the work is done by the provider, it can be an expensive service at times.

But it’s important to mention that from the user’s perspective, there should be little difference between all models. For example, a “private cloud” in your data center has to provide similar options and features as a public cloud. Similarly, if you use a public cloud and your own data center separately, then it’s not a hybrid cloud. By now you are probably thinking, “So what is the difference between hybrid and multi-cloud? ” Well, a hybrid cloud refers to the pairing of both private and public clouds.

For example, startups that cannot afford costly servers don’t need to wait for months to prove their viability as they can get the correct amount of compute they need to get into business quickly. Organizations implement a hybrid deployment to create a failover infrastructure that combines on-premises and public cloud installations. Also, a hybrid deployment can be the first step in a long-term strategy for a full transition to the public cloud. Hybrid Deployment Organizations that have a variable number of users and applications implement either a cloud or hybrid deployment to instantly accommodate rapid changes.

Cloud Deployment Models: Explained With Detailed Comparison

But that would mean that most of the time, all those servers would be underutilized. Another option would be to buy only enough servers to handle the average load, but then your application would be performing poorly with occasional spikes. With the public cloud, you can have both—enough resources for load spikes without significant upfront investments.

All Existing Cloud Deployment Models

The telecom company could build the entire cloud infrastructure on a private network. Security and privacy were of utmost priority; hence, they can choose the private cloud-deployment model as there are several sensitive information and confidential data on a government’s server. In PaaS model, operating system and software All Existing Cloud Deployment Models is managed by a third-party cloud service provider. You will have a ready-to-use platform – for instance, managed Kubernetes or Kafka. You can have as many applications as you want but you are limited to one particular platform. Owing to security concerns, few companies cannot operate only in the public cloud.

However, they wish to get rid of constraints to manage the hardware infrastructure and software environment. There are mainly 4 cloud-deployment models; each one is unique with its offerings, specifications, benefits, and trade-offs. One more thing to note is that you don’t have to pick one service model for everything. You can go with different components of various cloud service models based on your architecture.

Comparison Of Cloud Deployment Models

They prefer to follow frequent testing and beforehand preparation as best practices. To limit the risk that comes with new deployments, companies should go with an approach where deployment of software happens only to a small fraction of users first. This saves time and money also increases efficiency and productivity.

The on-premises deployment model is employed for its ability to provide organizations with maximum resource utilization. It is basically referred to as on-premises resource delivery using various virtualization and resource management tools, which has lent it the name private cloud. It might appear similar to the legacy IT infrastructure but essentially works to escalate resource utilization through on-premises exclusive technologies such as application management and virtualization. There is not much difference between private cloud and public cloud architecture deployment models.

All Existing Cloud Deployment Models

It provides companies with more options, making it easier for them to invest in their digital transformation journey without fear of single-provider vendor lock-in. Companies that run containerized workloads can easily attain cost reductions by deploying and running containers across a public cloud provider that offers the lowest cost. To quickly baseline, let’s take a moment to define public cloud.

How Is Cloud Integration Carried Out

A cloud deployment model is basically a configuration of cloud environment parameters such as accessibility, proprietorship, and storage size. To address the concerns of multiple states or local administrations, this model might fit right in. Say, a central government is looking to centralize yet build a hybrid cloud environment for their cloud ecosystem.

Due to the cloud’s global presence, users can access applications and desktops with a consistent experience on any device. No two clouds are the same (even if they’re the same type), and no two cloud services are used to solve the same problem. But by understanding the similarities, you can be more informed about how the caveats of each cloud computing type and cloud service might impact your business. A company should consider deploying their services or applications in the cloud for several reasons.

The focus is typically on how services are made available to a single company, thus allowing logical and/or physical access only to authorized users. Today it comes in many flavors, and it’s even possible to create your own private cloud in your data center. You learned about different cloud deployment models and cloud service models available. It’s important to remember that, nowadays, the public cloud isn’t the only option. In fact, for some, running a private cloud in your own data center is probably the best way to manage your IT infrastructure.


With IaaS, you get optimal flexibility and management control of your acquired and existing resources. Say there is a large organization that has two dedicated servers for payroll processing, which became a complicated and time-consuming process over the years. Now they are considering simplifying it, so they decide to migrate it to a cloud model. Their existing payroll-system architecture was a distributed application. So currently, to manage employee data and utilize cloud-database service from SQL database, they have to retrieve data from cloud storage.

  • Most existing businesses will have some existing infrastructure presence on-premise, and therefore bringing this into a private cloud and adopting the hybrid model may make more sense.
  • The cost of a community cloud is relatively high as compared to a public cloud.
  • You neither need to create a virtual machine nor install MySQL on it.
  • They were looking to resolve it with the public cloud as a solution for the peak loads with scalability capabilities, which might justify and perfectly fit the requirement.
  • There are a number of different methodologies and ways to define the elements of the Cloud.

Another option would be to request a MySQL server directly from the cloud service provider. A cloud service provider would install, configure, and manage a MySQL server for you. Understanding the available cloud deployment models is key to positioning your business for success. For example, the education sector could utilize a community cloud to enable a group of scholars and students to share academic content, making joint research easier.

Different Types Of Cloud Computing Deployment Models

A hybrid cloud provides flexibility when computing requirements and costs change by distributing workloads between a private and public cloud. With Parallels RAS, different scenarios can be easily implemented, from adding RD Session Hosts and handling extra end users, to having a cost-effective, high-availability infrastructure. At times companies manage their data centers with older features. To decide which cloud deployment model suits your organization, it is important to have a thorough understanding of all 5 cloud deployment models. Whenever you hear about the “cloud” or “cloud computing,” you think about computing resources that someone else manages.


The company wanted to adopt cloud-native practices and use microservices and containers, which have become a critical factor in modern software development. Also, Kubernetes turned out to be a beneficial choice for them since it allows elastic scaling from a couple of users to millions. In a hybrid model, companies can use their existing public cloud and also own on-premises systems. This model is extremely useful during a seamless transition between clouds over a period of time. Most importantly, the public cloud provides its users with the ability to pay for the services on a per-use basis, marking a significant shift from the traditional IT model from a CAPEX model to an OPEX model. To facilitate your choice of a deployment model, we have created a comparative table that provides an overview of the most business-critical features of each type of cloud.

When we need to connect an application sitting on a cloud with the interest of not within the cloud, we use the hybrid deployment method. This deployment method is of utmost importance when an organization needs to grow and connect on-premises Infrastructures and resources to the applications hosted on the cloud already. All parts of a cloud-based application run in cloud-only in any cloud-based application as it is deployed completely in the cloud. To take benefits of cloud application either need to be migrated or to be created from existing infrastructure.

Limitations Of Public Cloud

There are no upfront costs such as vehicle lease or purchase, no vehicle maintenance involved, nor do you have to ensure you have the right size vehicle. Parallels® Remote Application Server is a flexible, cloud-ready, ease-to-use, and low-cost virtual desktop infrastructure solution. Parallels RAS supports various cloud deployment models, including public, private, and hybrid. Rishabh Software is a technology services partner that helps customers achieve new growth levels through cloud-native services.

It specifies how your cloud infrastructure will look, what you can change, and whether you will be given services or will have to create everything yourself. Relationships between the infrastructure and your users are also defined by cloud deployment types. A Private Cloud is different to a Public Cloud in that the infrastructure is Privately hosted, managed, and owned by the individual company using it, giving greater and more direct control of it’s data. Enterprises who wish to keep a tighter grasp of security control may adopt this architecture. With this approach, more capital expenditure is requited to acquire the host and the data center that they will physically reside in.

The biggest advantage of the PaaS model is that you don’t have to handle all the installation and maintenance efforts of the cloud platform. Installing and configuring a Kubernetes or Kafka cluster can take a few hours. Since a cloud provider manages the platform, you’re a bit limited. It may not be possible to get a very specific, customized configuration for your platform. Simply put, the cloud service model defines which layer of service you manage and which layer the cloud service provider manages.

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