How Perficient are Cloud-Deployment Models for Storage Needs?

The Ruling Game of Cloud-Computing:

 

Remember the old days, when we had to carry Hard-disks, USBs, or Floppies to get and utilize the stored files? Well, just today’s Digital World, the times have also changed & are changing and upgrading day-by-day. But how exactly? The answer is ‘Cloud-Computing.’ It has completely revolutionized the way different enterprises store, manage, scale, and large-scale process applications and derive the required value from those data.

 

In simple terms, ‘Cloud-Computing’ is stated as the practice of using a network (or say platform) of remote servers hosted on the Internet to store, manage, and process the required data, rather than having all these on a local server or say a personal computer. Keeping in mind the growing hype of the platform(practice), many different technologies like Cloud-native, Edge-computing, Server-less, etc. are in their pace to bring up a higher level of flexibility in the flow of workload & also will enhance the portability aspect of different data.

 

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Cloud-Computing Service Models:

 

Some of the most commonly & widely used cloud-computing services are Infrastructure as a Service(IaaS), Software as a Service(SaaS), and Platform as a Service(PaaS).

 

1. Infrastructure as a Service (IaaS):-

 

In simple terms, IaaS stands as a cloud-computing service-model where virtual infrastructures are offered to, managed for different businesses/entities by external cloud providers. With this platform, companies can outsource for different required servers, data center spaces, storages, and other cloud-computing components all together just through the Internet. The platform ensures the offerings of similar functionality only as that of on-premises’ infrastructures. Operations like monitoring, clustering, backup, recovery, website hosting, etc. are some of the examples where IaaS is in extensive usage. 

• Key-players providing IaaS services: Microsoft Azure, Amazon EC2, GoGrid, Google Cloud Platform, Digital Ocean, etc.

 

2) Platform as a Service (PaaS):-

 

It works like a step of the ladder above IaaS i.e., PaaS builds on IaaS. Here the cloud vendors deliver computing resources, both cloud software and hardware infrastructural components like middleware and operating systems. All these together result in the fulfilment of required development & testing of different applications. Apart from building and maintaining the required hardware, the platform also enables its users to install and host data sets, business analytical applications, and other developmental tools.

• Key-players providing SaaS services: Google App Engine, AWS, OpenShift, Bluemix, Oracle Cloud, etc.

 

3) Software as a Service (SaaS):-

 

This particular service model stands as the one which combines IaaS and PaaS & provides access to vendor’s cloud-based softwares to the users. Here the users can access the applications installed on remote devices(vendor’s devices) via an API or web. All these services are provided via the subscription model to the users.

• Key-players providing SaaS services: Google G-Suite, Marketo, Oracle CRM, Microsoft Office 360, Zoho, etc.

 

The play of Deployment of cloud-computing services (Deployment Models):

 

1. Public:-

As the name speaks, it’s the model in which public clouds are available to the general public, and data are created and stored on third-party servers. This particular model eliminates the need for buying and maintaining their hardware for the users. It has limited configurations, and the cost of it is determined by the usage capacity offered to the users. The critical aspect to be kept in mind while using this model is that it’s not suitable for organizations operating with sensitive information due to its compliance with the stringent security regulations.

 

• Key-benefits:-

• The level of flexibility the users get to add and reduce the required capacity.

• It is cost-effective (comparatively).

• Easy & continues access to the data and operating time i.e., 24/7 upkeep for all your needs.

 

• Major-drawbacks:-

• Compromised reliability, along with data security and privacy.

• The users won’t be getting the tinge of personal(individual) approach.

 

• Key-players providing such deployment model:- 

• Amazon Elastic Compute, IBM’s Blue, Microsoft Azure, etc.

 

2. Private:-

As the name suggests, to build and manage their own(personal) data centers for crucial businesses & operations, many organizations use private clouds. Mostly government agencies, large & medium - scale enterprises opt for such private clouds. From technical point-of-view, the designs of both private & public deployment models are quite similar, and the only major difference is that the private data centers stay within the firewall & they provide enhanced levels of security.

 

• Key-benefits:-

• With the core benefit of individual development, the users get high-control over crucial corporate information, high security, privacy, and a good level of reliability.

• Network & other storage components here are completely customizable.

 

• Major-drawbacks:-

• It becomes more cost-intensive.

• Not a good choice for small and medium enterprises/businesses.

 

• Key-players providing such deployment model:-                                                                                          

•     Amazon, Cisco, Dell, Red Hat, etc.

 

3. Hybrid:-

Just as the qualities the word itself has, this particular deployment model holds the best features of the models mentioned above i.e., combining both the private & the public deployment models. This platform(cloud) basically(firstly) allows the users to have different permutations & combinations of usable features from the above mentioned two models and then 

Make the one that suits the best for the desired outcomes. This particular model, in general, with its level of flexibility, stands as the most profound model of all, in the world of tech-cravers. 

 

For instance (to digest the concept), a company can balance its requirements by placing critical workloads on a service private cloud i.e., private cloud deployment, and can place all the other less sensitive criterions to the public one i.e., public cloud deployment.

 

• Key-benefits:-

• Enhanced level of scalability & flexibility with an improved level of security and privacy.

• As it combines both the public and the private model, the price factor stays at a very reasonable level.

 

• Major-drawbacks:-

• Only preferable for companies which precisely can divide the crucial/critical aspects and other less-sensitive criterions.

 

• Key-players providing such deployment model:-

• Amazon Web Services, Microsoft System Center, VMware, Google Cloud Platform, etc.

 

Comparing all the deployment models:

 

POINTS OF DIFFERENCES	PRIVATE	PUBLIC	HYBRID
Data security and privacy	High	Low	High
Scalability and flexibility	High	High	High
Reliability	High	Average	High
Data control	High	Little to none	Comparatively high
Ease of setup and use	Requires IT proficiency	Easy	Requires IT proficiency
Need of in-house hardware	Subjective	No	Subjective
Cost-effectiveness	Cost-intensive	The cheapest one	Cheaper than private,costlier than public model

https://www.konstantinfo.com/blog/cloud-deployment-models/

 

There you go with the hinge of Cloud-Computing services and deployment models. But as we(AddWeb Solution) always say, investments in different companies or say different platforms for all your tech-cravings are always subjected to market risks, choose wisely & live happily. Cheers!

 

The concluding essence:

 

At AddWeb Solution, we ‘add’ value to the ‘web’ world with our experience and expertise in Cloud Computing solutions and an extensive range of other such web solutions. Explore more about our Cloud Computing services and Get in touch today to request a free quote.