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Imply 3.2: Deploy And Manage The Imply Platform On Private And Public Cloud Services

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Imply 3.2: Deploy And Manage The Imply Platform On Private And Public Cloud Services

So, you are looking to learn more about the various cloud deployment models out there Good! That is exactly what we will cover in this short post. If you have started to do some reading on the topic already, you may have noticed that there are many cloud deployment models out there. To narrow down the scope of this post, we will focus only on the four most popular cloud deployment model examples: public, private, hybrid and multi-cloud. We will cover each in detail, focusing on how they work and the perceived advantages and disadvantages associated with them.

To quickly baseline, let's take a moment to define public cloud. Public cloud is more or less a platform that leverages a standard cloud computing model to make storage, networking, virtual machines, etc. available to the public over the public internet. These are typically grouped as services and made available either for free or charged via subscription models or based on usage. Pretty straight forward, right One could say that it is similar to using an on-demand car service (Uber or Lyft) to get somewhere. The service is on-demand, you are provided with details on cost and duration of your trip and an arrival time. 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. You simply pay for what you use at the time of use.

A public cloud deployment model offers companies the ability to consume highly available and scalable services hosted on shared infrastructure. These services are on-demand, maintenance free, and low cost. This allows companies to grow at scale, while avoiding high up-front capital investments and operational costs. Amazon Web Services, Google Cloud Platform, and Microsoft Azure are all examples of public cloud providers.

Control and scalability are at the top of the list of the advantages of implementing hybrid cloud deployment. In short, companies can still apply specific custom requirements for critical environments and rely on the near infinite scalability of a public cloud provider; thus reducing cost in general. However, this is only possible if a company has the ability to run and manage a complex environment.

One benefit of using cloud-computing services is that firms can avoid the upfront cost and complexity of owning and maintaining their own IT infrastructure, and instead simply pay for what they use, when they use it.

Building the infrastructure to support cloud computing now accounts for a significant chunk of all IT spending, while spending on traditional, in-house IT slides as computing workloads continue to move to the cloud, whether that is public cloud services offered by vendors or private clouds built by enterprises themselves.

SaaS is the largest chunk of cloud spending simply because the variety of applications delivered via SaaS is huge, from CRM such as Salesforce, through to Microsoft's Office 365. And while the whole market is growing at a furious rate, it's the IaaS and PaaS segments that have consistently grown at much faster rates, according to analyst IDC: "This highlights the increasing reliance of enterprises on a cloud foundation built on cloud infrastructure, software-defined data, compute and governance solutions as a Service, and cloud-native platforms for application deployment for enterprise IT internal applications." IDC predicts that IaaS and PaaS will continue growing at a higher rate than the overall cloud market "as resilience, flexibility, and agility guide IT platform decisions".

Cloud computing is reaching the point where it is likely to account for more of enterprise tech spending than the traditional forms of delivering applications and services in-house that have been around for decades. However, use of the cloud is only likely to climb as organisations get more comfortable with the idea of their data being somewhe


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