Choosing cloud deployment and service models can be a complicated decision if you don't know your options. Our overview provides clarity so you can make an informed choice.
AWS (Amazon Web Services) provides customized computing resources to businesses and offers various deployment models that meet a wide range of user-specific requirements.
The entire motivation behind AWS is to offer the individual user, such as software developers, freedom from the hassles of planning, procuring, and maintaining data management resources.
The AWS cost optimization feature is available for those looking for tools that cover basic optimization. This enables businesses to achieve highly sophisticated, scalable, and inexpensive cloud-based infrastructure integrated quickly. This particular component eliminates complex licensing dependencies, making the cloud services provision rather simple and swift. It also replaces upfront capital infrastructure overhead with minimum variable costs.
AWS customers have the option to pay a few different ways, including:
- On-demand: pay per second of usage without a long-term commitment
- Metered - pay as you go
- Reservation based – instant availability
Since AWS maintains the hardware and software-based networks vital for the services application, there are no huge upfront investments that would typically be needed. Whether it is an all-inclusive startup, data-reliant application, or critical business operation, the AWS cloud provides instant access to innovative resources.
Each AWS cloud service type and deployment process is packed with different control and management levels to provide the user an optimized and flexible experience.
Cloud Computing Models
To understand AWS deployment, it’s important to have a basic awareness of cloud computing’s main types. IaaS, PaaS and SaaS each function to a different capacity but essentially have similar jobs. They do a certain amount of the heavy-lifting and simplify functions in the cloud that would otherwise require a ton of infrastructure to perform.
Infrastructure as a Service (IaaS)
Infrastructure as a Service (IaaS) consists primarily of the basic cloud building blocks that provide access to a vast array of networking features, virtual and well-built hardware computing resources, security, data storage and backup space. IaaS’s similarity with today’s technology resources that developers and \ in-house professionals already employ makes it a popular choice for cloud computing services. With IaaS, you get optimal flexibility and management control of your acquired and existing resources.
Platform as a Service (PaaS)
Platform as a Service (PaaS) provides the user with a platform equipped with top-of-the-range hardware and software tools hosted by the service provider. PaaS eliminates the need to manage the complex infrastructure of hardware and operating systems. It allows developers to focus on their application development, deployment, and management.
PaaS is an ideal cloud model for organizations looking to remove the resource procurement, software maintenance - including patches application and rollback - and capacity planning. Removing these tasks allows for smoother application functionality without the need to build backend infrastructure.
Software as a Service (SaaS)
Software as a Service (SaaS) can be best illustrated by looking at email services like Gmail. Email users send and receive messages without a single thought about managing feature additions, servers, application management, or maintenance. They don’t have to consider which operating systems are needed to execute the email programs. SaaS allows users to access technical products and services without worrying about configuration and management. SaaS represents end-user applications for a particular software without the trouble of underlying infrastructure.
For a more thorough review of these cloud computing models, read our complete overview.
Cloud Computing Deployment Models
The cloud deployment model refers to applications that are deployed and run entirely in the cloud. There are two ways in the cloud. First, they are either created in the cloud. Second, they are migrated to the cloud from their current infrastructure. The low-level infrastructure fragments can accommodate the development of cloud-based applications. An optimized high-level service provides core infrastructure abstraction based on the scaling, management, and architectural requirements.
The hybrid deployment model refers to devising an infrastructure and applications connectivity between cloud-based resources and legacy resources that are located on-premise. The most frequently employed hybrid development method is between an organization and on-premises infrastructure to expand the overall set-up into the cloud and link the cloud resources to its in-house core system. A hybrid deployment is the best model for companies new to AWS integration for steady business augmentation.
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. Although the on-premises deployment does not do justice to the huge benefits cloud computing proffers, its ability to facilitate the connectivity between op-premises infrastructure and cloud keen resources makes it a sought-after deployment model of high profile organizations. 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.
AWS cloud offers a massive range of services to assist its users in managing and automating their operational workloads. Increased productivity, consistent business growth, reduced overall cost, and higher security are some of the benefits that cloud integration initiates.