GCP Architecture

Want to learn GCP, but not sure how to? Watch this video to clear all your doubts.

What is GCP?

Google Cloud Platform (GCP) is a group of Google’s public cloud services. It provides services for Infrastructure as a Service (IaaS) and Platform as a Service (PaaS).

GCP, along with Amazon Web Services (AWS) and Microsoft Azure, is one of the three major public cloud providers. GCP is a popular suggestion for companies looking to outsource their whole IT infrastructure, as well as smaller businesses looking to deploy a public cloud.

Talking about its history:

GCP first became accessible in 2008 with the introduction of the App Engine product. In April 2008, Google unveiled the App Engine trial version, a developer tool that allowed customers to publish their web apps on Google infrastructure.

The objective of Google’s App Engine, according to the company, was “to make it easy to build a new web app, and then to make it easy to grow when that app reaches the point where it’s producing considerable traffic and has millions of users.”

10,000 developers were given access to App Engine in order to get feedback for improving this preview version.

Why do we use GCP?

There are a plenty of reasons to choose GCP and start working on it. We have mentioned a few of them for your reference:

• Google Cloud Storage

Google Cloud Storage is a service available on the Google Cloud Platform. It supports many types of databases, including SQL, MySQL, and others.

Google Cloud Storage has the benefit of supporting Big Data.

It is used to store and retrieve data that is localized, as well as to provide high availability.

You may also conduct other tasks with excellent performance in Google Cloud Storage.

Google Cloud Storage allows customers to store data in both Structured and Relational formats.

• Professionals Can Work From Anywhere

Using web-based apps powered by Google Cloud, workers can obtain complete data access across devices from anywhere in the globe.

• Google Cloud Enables Rapid Collaboration

Since data is kept in the cloud rather than on users’ PCs, many people may contribute to and access projects at the same time.

• Private Network

Users may maximize their time and productivity by using a private network.

Each Google client has their own network on private network, providing them more freedom and control over the system.

Its private network serves as the basis for Google Cloud Hosting. In terms of efficiency, fiber-optic cables exceed all other types of cables.

Fiber optics were used to expand Google’s network. The fiber-optic network is capable of supporting traffic.

GCP Architecture

The construction of a cloud, in which resources are gathered and distributed across a network utilizing virtualization technologies, is referred to as cloud architecture. The following elements are included in a cloud architecture:

• A foundation for the front end (the client or device used to access the cloud).
• A platform for the back end (servers and storage).
• A cloud-based delivery paradigm.
• Through the integration of these technologies, a cloud computing architecture is created on which programs may run, enabling end users to use all cloud resources.

In order to understand the GCP Architecture, one has to get familiar with its basic yet building blocks. It is built on several pillars, some of which are mentioned below:

Virtual Machines:

Virtual Machines have become a popular choice to run compute workloads like containers and App Engines. It is widely known that Google Cloud is the one who manages and provides Virtual Machines.

Google Cloud has four branches namely:

• General Purpose
• Compute-optimized
• Memory-optimized
• Accelerator-optimized

Storage:

GCP provides three main services, which offer different types of storage:

• File Storage
• Object Storage
• Persistent Disks

Serverless:

Serverless computing dynamically runs applications as needed, eliminating the need to maintain underlying server resources. Google Cloud offers three primary serverless alternatives for running serverless workloads:

• Google App Engine
• Google Cloud Functions
• Google Cloud Run

Containers:

Google offers and tends to provide various technologies that one can use and utilize to deploy containers in a GCP environment. Some of them are:

• Google Anthos
• Google Kubernetes Engine(GKE)
• GKE Autopilot

GCP Architecture Diagram

Cloud Architecture Diagrams are used to graphically record the corporate cloud computing services provided by a company. Making a cloud architecture diagram is an excellent approach to defining the cloud environment for your organization’s documentation, plan upgrades, or troubleshoot problems because the infrastructure of these services might be complicated.

Serverless computing dynamically runs applications as needed, eliminating the need to maintain underlying server resources. Google Cloud offers three primary serverless alternatives for running serverless workloads:

GCP diagrams are commonly used to:

• Give a high-level overview of cloud computing architecture.
• Determine how various cloud components will interact.
• Inform developers or stakeholders about design plans or revisions.

GCP Architecture Framework

GCP’s Architecture Framework discusses best practices, provides implementation advice, and goes into depth regarding products and services. The framework is built on four pillars: operational excellence, security, privacy, compliance, dependability, and performance and cost optimization. GCP provides documentation for each pillar that includes extensive best practices, GCP-specific suggestions, and critical services to employ in order to match with best practices.

The idea of regions and zones serves as the foundation of the GCP architectural framework. A region is a geographical area of the world where GCP services are accessible, whereas a zone is a specific geographic location inside a region. Depending on the performance, availability, and pricing they are looking for, organizations can decide which regions and zones to utilize.

GCP offers a number of services in addition to regions and zones, including Compute Engine, Cloud Storage, Cloud Datastore, Cloud SQL, Cloud Bigtable, and Cloud Pub/Sub. The capacity to install, manage, and grow their applications is what these services give enterprises. Additionally, businesses may build virtual private clouds (VPCs), link to other cloud services, and roll out dependable, secure apps by utilizing GCP’s networking capabilities.

A cross-functional team of Google specialists assesses the Architecture Framework’s design guidelines and best practices. The Architecture Framework is carefully curated by the team to take into account the ever-expanding capabilities of Google Cloud, business best practices, local knowledge, and your input.

Conclusion

The focus of GCP architecture in the future will be on adopting cloud computing technology to allow more productive, affordable, and reliable structures.

GCP’s primary goal will remain to give consumers the resources they need to create, launch, and maintain secure and reasonably priced applications.

GCP will also put a lot of effort into offering analytics and machine learning capabilities to support customers in making data-driven choices.

GCP will also use its ties with other cloud providers and organizations to give developers a more integrated and uniform experience.