Google Cloud, commonly known as Google Cloud Platform or GCP, is a web application development, deployment, and management platform. GCP is essentially a service for developing and managing one-of-a-kind apps that may then be launched on the Internet using its hyper-scale data center resources. Its cloud infrastructure is home to Google Workplace, formerly G Suite, and Google Apps before that.
When you use Google Cloud Platform to host a website, an application, or a service, Google keeps track of all the resources it needs, including processing power, data storage, database queries, and network connectivity. Rather than leasing a server or a DNS address for a month (as you would with a traditional Web hosting company), you pay for each of these resources on a per-minute or even per-second basis, with discounts available if your clients use your services frequently on the Internet.
GCP is a separate business organization within Alphabet, providing the business need for corporations and, in certain circumstances, individuals to install software that can be accessed by Web browsers or Web apps. GCP rents software, as well as the resources required to support it and the tools used to develop it, on a pay-as-you-go basis.
What exactly is a cloud platform?
When you want the services you provide to your users, customers, or coworkers to be an application rather than a website, you use a cloud platform. Perhaps you’d want to assist home builders in determining the size and construction of cabinets required to rebuild a kitchen. Perhaps you’re looking at the performance data of athletes auditioning for a collegiate sports team and require sophisticated analytics to notify the head coaches which players’ performances should be improved. Alternatively, you may be scanning hundreds of thousands of pages of archived newspaper material and need to create a searchable index that spans decades.
When you wish to construct and run an application that can take advantage of the capacity of hyper-scale data centers in some way, such as to reach users all over the world, borrow powerful analytics and AI functions, store vast amounts of data, or save money, you use a cloud platform like GCP. You are only charged for the resources consumed by the machine, not for the machine itself. Google defines a “cloud platform” as a software system that automatically delivers services and apps as needed. A true cloud is one in which your company may host its own applications via a portal similar to GCP.
What is the value proposition of Google Cloud?
According to data from market research firm Statista for the fourth quarter of 2020, Google Cloud’s share of global cloud-related income among the top eight cloud service providers was roughly 9%. Amazon AWS and Microsoft Azure together manage nearly five times as many platform and infrastructure accounts. If you remember the long-running rental vehicle market conflict between Hertz and “We Try Harder” Avis, Google Cloud is the cloud market’s Budget Rent-a-Car memorial seat.
So, what’s the big deal about GCP? For the time being, there’s a specific type of business customer: one that isn’t large enough to have recruited its own software engineers but isn’t large enough to have On-premises data center assets or colocation provider-hosted data center assets. GCP is marketing scalability, reliability, and brand familiarity as essential factors in its competitive value proposition for this type of company.
A triopoly is despised by most main markets in any healthy economy. It’s usually the safest bet an analyst can make that the #3 player will be knocked out of the race and forced to settle for “alternative” products or services in specialized markets.
But Google has one advantage that no other third-place finisher in any area has. It’s the dominant player in a market that’s almost entirely dominated by a single player: online advertising. Its cloud services can be allowed to flourish and find their audiences as if the company’s survival did not depend on them. Former Microsoft CEO Bill Gates reportedly cautioned Google that his company was known for its tenacity, tenacity, tenacity. But he’s no longer with us. And Google Cloud has every motive to keep trying, including unlimited time.
Cloud services in their most basic
The following are the main services that GCP provides to its customers:
1) Computing Engine Of Google
Compute Engine (GCE) is Google’s entry-level service that competes with Amazon’s entry-level, premier service: hosting virtual machines. Workloads (applications and services) in data centers are typically run on software-based platforms that may be shifted from one physical computer to another. In fact, a physical server can host more than one of these VMs, increasing efficiency. The virtual machine (VM) concept was established to allow data center mobility; cloud services like GCE use that same format, add a self-provisioning deployment mechanism and charge consumers for the resources these VMs consume.
A virtual machine instance is a “unit” of virtual machine resources (memory, storage, CPU power, and network throughput) that is put together to run like a physical server with the same amounts of physical resources. In most cases, a service provider will charge a monthly fee for the use of that instance in minutes, as well as any other resources it may consume. GCP charges consumers in seconds rather than minutes in order to be more competitive. It also allows clients to specify the exact resource buildout they require for their virtual machines, which is useful for businesses that still rely on legacy applications (a better way of saying “old programs”) that were designed for certain physical machines.
2) Storage On The Google Cloud
GCP’s Cloud Storage (GCS) is an object storage system, which means that its records keep track of both the identity and structure of any data type it receives. Object storage, unlike a standard storage volume’s file system, which renders each file or document as a string of digits whose placement is registered in a file allocation table, is an all-purpose block that’s leased to customers like parking space at a park-and-lock. It may store full organized databases, raw video streams, or machine learning model matrices.
Nearline is a way to use Google Cloud Storage for backup and archive data that isn’t necessarily considered a “database” in the traditional sense. The information saved here is only intended to be accessed once a month by a single user. Google refers to this technique as “cold storage,” and it has adjusted its pricing plan to make Nearline more cost-competitive for low-volume uses like system backups.
WHAT DOES IT COST TO USE GOOGLE CLOUD ON A REGULAR BASIS?
Google has a pricing calculator that uses up-to-the-minute formulae for more generic usage patterns. However, in order to use that calculator, your ballpark estimations of the resources you want to consume must fall within a fairly tight range. For example, to get a price estimate for Google Kubernetes Engine, you’ll need to know the maximum number of compute nodes you’ll be scaling out to, how much persistent disc storage (as opposed to ephemeral storage) your application will require, and which availability zone you think would be most efficient for load balancing, among other things.
GCP then provides discounts based on particular usage patterns, claiming to be able to lower average costs for its cloud services when compared to Amazon’s and Azure’s counterparts:
– Customers can specify a machine instance that can be pre-empted when not in use on Google Compute Engine. Rather than paying for the instance plus the resources it consumes, GCE customers pay for the instance’s availability, which may be discounted by 70% when resources are not in use. (However, there is a fee for uploading a custom disc image to a VM instance.)
– Customers can develop bespoke usage types in GCP, allowing them to choose virtual machine buildouts that are different from pre-defined models. Google, on the other hand, no longer guarantees discounts for utilizing custom types rather than pre-defined ones.
– On permanently available workloads, GCP imposes so-called sustained use discounts on a roughly linear scale, starting with workloads consumed over 25% of total available time within a given month. A job that runs every minute of a billing cycle could receive a 30% discount.
– For customers who commit to resource utilization from 1 to 3 years of sustained service, Google will offer a discount of up to 57 percent.
– Customers who anticipate high data use can sign up for the Storage Growth Plan, which offers reductions if they commit to a monthly minimum fee for a period of 12 months. This is for corporations that aim to use GCS to host big data warehouses, not small businesses.