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How Perficient are Cloud Deployment Models for N/W Storage Needs?

One of the reasons Amazon.com started their journey into the clouds is they were only using about 16% of their available server resources, with about 90% more or less just “going to waste” waiting for the occasional service spikes.

Having dominated the business technology landscape for over a decade (as estimated till now), organizations have perfected the art of developing cloud-based apps and migrated on-premises systems into the cloud. With the services that range from cloud app development to cloud migration to integrate to cloud app containerization, it is practical to optimize current cloud solutions by standardizing outmoded environments, consolidating infrastructures, and modernizing individual resources.

Cloud computing is known to us via 4 deployment models, namely: Public, Private, Community and Hybrid Cloud and 3 service models, namely: IaaS, PaaS and SaaS.

Quick Facts: Cloud Computing

According to Gartner, global public cloud revenue will grow 17.5 Percent in 2019 and this growth will become exponential through 2022. IaaS to host, PaaS to build and SaaS to consume, cloud computing models enables on-demand network access to a shared pool of configurable computing resources like networks, servers, storage, applications, and services. Cloud computing is the fastest growing market with cloud system infrastructure services, or infrastructure as a service (IaaS) leading the scene, estimated to grow at 27.5% in 2019 to reach as high as $38.9 bn. The cloud application infrastructure services or platform as a service (PaaS) will follow the race and is estimated to grow at a rate of 21.8%

Differentiating Cloud Deployment Models

Points of Differences Private Public Community Hybrid
Data security and privacy High Low Comparatively high High
Scalability and flexibility High High Fixed capacity High
Reliability High Vulnerable Comparatively high High
Data control High Little to none Comparatively high Comparatively high
Ease of setup and use Requires IT proficiency Easy Requires IT proficiency Requires IT proficiency
Demand for in-house hardware Depends No Depends Depends
Cost-effectiveness Cost-intensive, the most expensive one The cheapest one Cost is shared among community members Cheaper than a private model but more costly than a public one

Notable Figures: Public Cloud Service Revenue Forecast (U.S. Dollars in Billions)

 Cloud Service Models 2018 2019 2020 2021 2022
Cloud Business Process Services (BPaaS) 45.8 49.3 53.1 57.0 61.1
Cloud System Infrastructure Services (IaaS) 30.5 38.9 49.1 61.9 76.6
Cloud Application Services (SaaS) 80.0 94.8 110.5 126.7 143.7
Cloud Application Infrastructure Services (PaaS) 15.6 19.0 23.0 27.5 31.8
Cloud Management and Security Services 10.5 12.2 14.1 16.0 17.9
Total Market 182.4 214.3 249.8 289.1 331.2


BPaaS
= Business Process as a Service; PaaS = Platform as a Service; SaaS = Software as a Service; IaaS = Infrastructure as a Service
Note: Totals may not add up due to rounding.

(Source: Gartner, April 2019 )

As many as one-third of the organizations see cloud investments as a top three investing priority, as predicted by Gartner. These figures definitely impact what the market has to offer. Gartner expects these figures to match with 30% of technology providers’, who are going to shift their new software investments from cloud-first to cloud-only. As the license-based software consumption will plummet further, the SaaS or subscription-based cloud consumption models will continue to rise.

Organizations are onboarding cloud-based services like cloud consulting, implementation, migration and managed services, and this rate will increase to 28 percent by 2022, according to Gartner.

Cloud Computing Service Models

Users particularly look for storage spaces on the network and some provision processing in addition to other fundamental computing resources where the consumer is able to deploy and run arbitrary software which can include operating system and applications. They try to control the operating system, deployed applications and storage instead of the underlying cloud infrastructure and possibly have limited control over networking components (e.g.: host firewalls).

Top Factors to Consider While Selecting the Best Cloud Deployment Models

As the software or processes are provided by external IT services in the “cloud” infrastructure, there are some key points to consider when deciding which cloud to choose from (private, public or hybrid). Check these before implementing anyone from the above list:

Cloud Computing: Advantages and Disadvantages

Major advantages and drawbacks of using deployment models of cloud computing are:

The Definitive

Computing resources are utilized as services scaling to suit demand that is always available, with the latest upgrades and security. This technology marks a sharp deviation from usual mainframes to client-server environments to a delivery model for IT services based on the internet. It combines shared resources, software, and information, directs them to computers and other connected devices in the network on-demand; thus benefitting businesses anytime, anywhere. This helps them access data, improves reliability and updates software with less potential of malware (relative to computer storage). Gmail, VMware, HP, EMC^2, Facebook – every common and prevalent application is on the cloud since SaaS (software as a service) applications are all leveraged via cloud computing.

Cloud benefits businesses in numerous ways (comes with monthly payment plans, encourages standard systems, and requires less-in-house staff etc.), and benefits users as it enables them to pay for only what they use (without wasting any resources), with easy and quick deployments. Do you think there are more ways in which cloud computing services will revolutionize how organizations deal with their networking and storage issues? Let’s talk about your needs here!