The Basics of Google Cloud Platform | iCert Global

The Fundamentals of Google Cloud Platform

With how fast technology is moving and penetrating our daily lives, cloud computing is also evolving. There are many cloud providers, and it's a little confusing at first. One of the most popular ones is Google Cloud Platform, or GCP. It has simple, easy-to-use tools and services. This tutorial will make you better understand Google Cloud Platform and give you a general overview of cloud computing.

What is Cloud Computing?

Cloud computing is a means of accessing your applications, your storage, your computers via the internet instead of on your premises or business's servers. This means you could store files, run applications, and access data on any machine connected to the internet.

Most Significant Characteristics of Cloud Computing:

• Shared Resources – Cloud providers share their high-performance computers with multiple users at once.

• Easy Monitoring – System administrators can monitor system performance in real-time.

• Low Downtime – Cloud services operate efficiently with hardly any downtimes.

• Remote Access – Users are able to store and retrieve data from anywhere with the internet.

• Flexible and Customizable – Cloud services adapt to user demands.

• High Security – Strong security controls guard against data breaches.

• Affordable – Companies save costs by avoiding expensive on-premises infrastructure.

• Pay-as-You-Go – Customers only pay for what they use, without spending extra money.

Why Google Cloud Platform(GCP)?

Google Cloud Platform (GCP) is widely used for numerous reasons, such as:

1. Reasonable Pricing

• Google Cloud is renowned for its competitive pricing.

• It provides a monthly subscription scheme that assists companies in controlling expenses.

•Up to 57% discounts for customers who commit to use some of the computer power for one or three years.

2. High-Speed Performance

• GCP provides high-speed networks of up to 10 terabits per second (Tbs).

• It has data centers across Japan, Europe, the United States, and other regions.

• The low-latency network supports rapid data processing, which increases user experience.

3. Big Data & AI Tools

• GCP provides effective handling of enormous amounts of data.

• BigQuery is a program that allows fast examination of huge datasets.

• Google also provides AI and Machine Learning capabilities for processing complicated data.

What is Google Cloud Platform?

Google Cloud Platform (GCP) is a collection of cloud computing services provided by Google. It runs on the same reliable infrastructure that hosts YouTube, Gmail, and other Google applications.

GCP provides several services, such as:

Computing Power - Executes applications and handles information.

Networking – Connects users and systems worldwide.

Machine Learning & AI – Enables organizations to create smart applications.

Big Data Processing – Processes and analyzes big data.

Google Cloud Platform Elements (Simplified for 7th Grade)

Google Cloud Platform (GCP) consists of some various components that assist companies in storing, holding, and processing information.

Let us talk about these major components and what they do!

1. Calculate (Processing Power)

This unit operates programs and computes data in the cloud. It possesses:

•App Engine – Runs apps without managing servers.

• Compute Engine – Provides virtual machines (VMs) to run workloads.

• Kubernetes Engine – Employed to run and scale containerized workloads.

• Cloud Functions – Runs small pieces of code on events.

• Cloud Run – Runs apps without needing to manage infrastructure.

2. Storage & Databases

This partition stores app files, backups, and databases. It contains:

• Cloud Storage – Stores large files, such as videos and images.

• Cloud SQL – Manages databases like MySQL and PostgreSQL.

• Cloud Bigtable – Holds large amounts of structured data.

• Cloud Spanner – A database that is scalable to business needs.

• Cloud Datastore – Manages small databases for applications.

3. Networking (Connecting Systems)

This division manages internet traffic and security. It consists of:

• VPC (Virtual Private Cloud) – Private network for cloud resources.

• Cloud Load Balancing – Distributes traffic across servers.

• Cloud Armor – Protects against cyber attacks.

• Cloud CDN – Makes websites load faster everywhere.

• Cloud Interconnect – Connects GCP to private data centers.

• Cloud DNS – Manages website domains.

• Network Service Tiers – Controls speed and price of data transfers.

4. Big Data (Handling Large Data Sets)

This part processes and deals with vast quantities of information. It consists of:

• BigQuery – A resource for analyzing large data sets quickly.

• Cloud Dataproc – Helps in analyzing big data through open-source platforms.

• Cloud Datalab – A data science environment for data visualization and analysis.

• Cloud Data Studio – Generates readable reports out of big data.

5. Developer Tools (Apps & Software Building)

This chapter helps developers design and maintain applications. It includes:

• Artifact Registry (beta) – Stores software packages.

• Cloud SDK – Provides APIs to interact with GCP services.

• Cloud Code – Assists developers in writing and maintaining code.

• Cloud Build – Automates app building and testing.

• Cloud Scheduler – Schedules and automates jobs.

• Cloud Tasks – Coordinates background work for apps.

6. Identity & Security (Securing Data)

These tools safeguard information and manage access:

• Cloud Identity – Helps manage user accounts securely.Cloud IAM (Identity and Access Management) – Controls who can access what.

• Cloud Data Loss Prevention API – Avoids sensitive data exposure.

•Security Key Enforcement – Offers strong security for logins.

7. Internet of Things (IoT) (Networking Smart Devices)

These tools enable management and connection of smart devices such as sensors, cameras, and machines:

• Cloud IoT Core – Enables connecting and managing IoT devices.

• Edge TPU – Executes AI models on devices.

• Cloud IoT – Manages enormous quantities of intelligent devices.

8. Cloud AI (Artificial Intelligence and Machine Learning)

They enable machines to learn and make intelligent decisions:

Cloud AutoML allows businesses to build AI models without coding.

• Cloud Natural Language – Can comprehend and process human language.

• Cloud Speech-to-Text – Converts spoken words to text.

• Cloud Text-to-Speech – Translates text into speech.

• Cloud Translation API – Immediate language translation.

• Cloud Vision API – Enables computers to recognize objects in images.

• Cloud Video Intelligence – Recognizes and interprets videos.

9. Management Tools (Monitoring & Controlling GCP Services)

These tools help manage and monitor cloud resources:

• Cloud Deployment Manager – Enables automating cloud configuration.

• Cloud Console – Web-based console for managing GCP services.

• Cloud Shell – Command-line interface for managing resources.

• Cloud APIs – Enables developers to connect GCP with other applications,.

10. API Platform (Connecting GCP to Other Apps and Services)

These tools assist developers in constructing and maintaining APIs:

• Maps Platform – Provides Google Maps features for applications.

• Developer Portal – It aids in sharing and managing APIs.

• API Analytics – Tracks and quantifies API performance.

• Apigee Sense – Protects APIs from attacks.

• Cloud Endpoints – Assists in managing and securing API connections.

Ferrero Case Example

Ferrero is a well-known chocolate firm and one of the globe's three largest chocolate and candy producers. Ferrero began in Italy in 1946.

Challenges

When Ferrero expanded and became successful, it experienced some difficulties:

• The company needed a better way of storing, processing, and analyzing enormous amounts of customer information.

Ferrero and consumers had a variance as the company was relying on data from different sellers and distributors.

Ferrero wanted to build an online platform to connect with customers directly and craft a smart marketing strategy that is data-driven.

Answer

Ferrero used Google Cloud Platform BigQuery to solve the following problems:

BigQuery assisted Ferrero in saving and processing huge volumes of data quickly, affordably, and easily.

Business analysts could easily create reports on sales patterns and customer behavior.

The firm employed this data to improve its advertisement and customer care.

Outcomes

• Ferrero may segment customers into different groups depending on real data, enabling them to create more personalized user profiles.

The company changed its marketing approaches to accommodate what was preferred by customers.

• Ferrero tailored its website, mobile content, and advertisements with Google Cloud Platform.

• It also enabled Ferrero to devise more economical advertising strategies, cutting costs but still targeting the right audience.

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Final Thoughts

Hands-On Demonstrations: Installing a Virtual Machine & Tapping into Cloud StorageGoogle Cloud Platform is truly an amazing platform for computing, storage, AI, and anything else. Take a cloud computing course and make today the starting point to be a master builder!

Want to be a Google Cloud Architect?

Google Cloud Platform (GCP) is one of the top three cloud providers with several cloud computing career opportunities.

If you wish to upgrade your skills, we suggest you look into iCert Global's Post Graduate Program in Cloud Computing. The course will equip you with the appropriate skills and make you job-ready in no time! Start your journey today!

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