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What is Google Cloud ?
A provider of computer resources for creating, installing, and running Web applications is Google Cloud (sometimes referred to as Google Cloud Platform or GCP). GCP is primarily a service for developing and maintaining original applications, which can then be published via the Web from its hyperscale data centre facilities. Although its cloud infrastructure does serve as the host for applications like Google Workplace (formerly G Suite, and before that Google Apps), GCP is a service for building and maintaining original applications.
Google keeps track of all the resources used when you run a Web site, an application, or a service on GCP, including the amount of processing power, data storage, database queries, and network connectivity. Instead of leasing a server or a DNS address by the month (as you would with a typical web hosting company), you pay for each of these resources on a per-minute or even per-second basis, with reductions that apply when your services are heavily used by your customers online.
GCP is seen as a separate business unit by Alphabet, the company that owns it, and it caters to the requirement for businesses and, in some circumstances, individuals, to deploy software that can be used with Web browsers or Web apps. Pay-as-you-go software leasing is offered by GCP, along with the resources required to maintain it and the tools used to create it.
What exactly is a cloud platform?
When you want the services you offer to your users, clients, or coworkers to be applications rather than Web sites, you use a cloud platform. Perhaps you want to assist home builders in determining the dimensions and construction of the cabinets they will require to renovate a kitchen. Perhaps you're examining the performance data of athletes who are interviewing for a college sports team, and you need sophisticated analytics to inform the head coaches of which athletes' performances should be improved. Alternatively, you might be scanning hundreds of thousands of pages of historical newspaper material and need to create a searchable index that goes back many years.
When you want to create and run an application that can benefit from the power of hyperscale data centres in some way, such as to reach users worldwide, to use advanced analytics and AI functions, to use massive amounts of data storage, or to benefit from cost-savings, you use a cloud platform like GCP. You pay for the resources the machine consumes, not the actual machine. Google refers to a software system that automatically instals features and applications as needed by the term "cloud platform." A true cloud exists if your company can host its own applications through a portal that functions similarly to GCP.
Google Cloud pricing models
Processor power, memory, data storage, and networking are the four basic cloud computing resources that each of GCP's services need. GCP charges its clients for the resources these services use, much like other cloud service providers. So, whatever you decide to do with GCP, you are responsible for paying for the resources used. BigQuery and BigTable can use a lot of data storage, which might be expensive.
The real pricing algorithms for resource consumption are actually quite complicated. Particularly for Cloud Run, the automated workload deployment method used by GCP, there is a different cost structure. We'll go over that model in a moment.
Compare Amazon Web Services and Google Cloud (AWS)
- Since its start, Google has focused almost entirely on Amazon in its marketing campaigns, resisting the need to contrast itself with Microsoft Azure. Here is how GCP is putting itself in such situation:
- AWS will likely continue to lead GCP in terms of hosting virtual machine instances. Therefore, it provides options, most notably custom instances, and pricing schemes that may benefit some clients. Even though virtual machines (VMs) are an outdated method of software distribution, no cloud service provider can give up a footing in this market and expect to remain competitive.
- Amazon waited until the absolute last minute to release its own Kubernetes engine... and then it waited a little longer. It is clear that Amazon was hesitant to support a deployment mechanism that would compete with its own mainstream business. Due to this, Google has been celebrating the fact that it created Kubernetes and is still widely recognised as its leader.
- GCP (more so now with Anthos) addresses the demands of enterprise customers to prevent vendor lock-in whereas the current system is concentrated around Amazon.
- Customers of cloud computing continue to express their opinions in analyst reports from many sources that Amazon's vast array of service alternatives may really be detrimental to the company. No three sources can concur on the best place for an AWS customer to start. By concentrating on popular services that users truly want rather than on experimental and beta tests that won't bankrupt the company if they fail, Google can take advantage of this.
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