Google Cloud Case Study

Above diagram show us google working without using cloud. there are so many drawbacks faced by google such as handling multiple requests from users it is very difficult to handle such requests. for solving such type of problems google needs to increase their number of servers but increasing number of servers causes more cost and also affect maintainance. It is very difficult to handle workload of google users.

Reasons to use cloud

Affordable Feature-Rich Capabilities Delivered over the Web.

Anytime, Anywhere Access to the System.

A Much Lower Total Cost of Ownership (TCO).

Reduced Implementation Time & Cost.

Turns Variable Costs Into Fixed Costs.

Reduced IT Salary & Management.

Focus on Core Competencies.

Achieve On-Demand Scalability.

Advance More Strategic Projects and Initiatives.

In the above figure google is working with cloud …With the help of multiple servers google can handle multiple google users requests .Google uses its own Cloud that is GCP. Google Cloud Platform (GCP) is Google’s public cloud offering, comparable to Amazon Web Services and Microsoft Azure. The difference is that GCP is built upon the Google’s massive, cutting-edge infrastructure that handles the traffic and workload of all Google users. As such, GCP has courted numerous customers that need to run at an enormous, global scale.There is a wide-range of services available in GCP, ranging from Infrastructure-as-a-Service to completely managed Software-as-a-Service.

Features of using cloud

Scalability : Scalability in the context of cloud computing can be defined as the ability to handle growing or diminishing resources to meet business demands in a capable way. In essence, scalability is a planned level of capacity that can grow or shrink as needed.Before the arrival of the cloud, adding extra server space involved having someone install hardware and then paying for it’s maintenance. In addition to the cost of the purchase and maintenance, including the necessary downtime this caused, you needed to pay for the physical space on your server. For businesses with little to no growth, this wasn’t such a problem, but for quickly growing companies, the growth itself caused major issues — and increasingly higher costs.When your data storage is constrained physically, you’re restricted in how you can scale your environment to meet the demands of your business. With the cloud, you remove the limit to the physical size of your server environment, allowing you to start small and support the growth of your business over time — without any interruption in your business flow or expensive, unplanned changes. Load balancers offer another automatic way of scaling up by distributing workloads across various nodes in order to maximize resources. A load balancer will accept all incoming application traffic and then acts as an usher to find the best instance for each incoming request that will best utilize the resources on hand.

Relibility : Reliability shows the probability of a system/component for performing the required functions in a period of time without failure. It does not contain any repair process in its definition. It also accounts for the period of time that it will take the system/component to fail during its operating time.

Security : Cloud security, also known as cloud computing security, consists of a set of policies, controls, procedures and technologies that work together to protect cloud-based systems, data, and infrastructure. These security measures are configured to protect cloud data, support regulatory compliance and protect customers’ privacy as well as setting authentication rules for individual users and devices. From authenticating access to filtering traffic, cloud security can be configured to the exact needs of the business. And because these rules can be configured and managed in one place, administration overheads are reduced and IT teams empowered to focus on other areas of the business.

The way cloud security is delivered will depend on the individual cloud provider or the cloud security solutions in place. However, implementation of cloud security processes should be a joint responsibility between the business owner and solution provider.

Multitinency : Multitenancy means that multiple customers of a cloud vendor are using the same computing resources. Despite the fact that they share resources, cloud customers aren’t aware of each other, and their data is kept totally separate. Multitenancy is a crucial component of cloud computing; without it, cloud services would be far less practical. Multitenant architecture is a feature in many types of public cloud computing, including IaaS, PaaS, SaaS, containers, and serverless computing.

Virtual Network : Virtual networking enables communication between multiple computers, virtual machines (VMs), virtual servers, or other devices across different office and data center locations. While physical networking connects computers through cabling and other hardware, virtual networking extends these capabilities by using software management to connect computers and servers over the Internet. It uses virtualized versions of traditional network tools, like switches and network adapters, allowing for more efficient routing and easier network configuration changes.

Virtual networking enables devices across many locations to function with the same capabilities as a traditional physical network. This allows for data centers to stretch across different physical locations, and gives network administrators new and more efficient options, like the ability to easily modify the network as needs change, without having to switch out or buy more hardware; greater flexibility in provisioning the network to specific needs and applications; and the capacity to move workloads across the network infrastructure without compromising service, security, and availability.

Google Cloud Architechture

Why Google Cloud Platform?

Now that you have a brief idea of What is Google Cloud Platform and Cloud Computing, let’s understand why one must go for it. Google Cloud Platform, is a suite of cloud computing services that run on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, Google Photos and YouTube. We all know how big is the database of Gmail, Youtube and Google Search. And I don’t think in the recent years, Google’s server has gone down. It’s one of the biggest in the world, so it seems an obvious choice, to trust them, Right? So now look at some of the features of GCP what really gives it an upper hand over other vendors.

Google offers a wide range of Services. Following are the major Google Cloud Services:

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