Google Cloud Platform Tutorial
Google Cloud Platform (GCP) is a set of cloud services provided by Google, built on the same technology that powers Google services like Search, Gmail, YouTube, Google Docs, and Google Drive. Many companies prefer GCP because it can be up to 20% cheaper for storing data and databases compared to other cloud providers like AWS.
Why learn GCP? - Learning GCP equips you with the skills to build, deploy, and manage applications on Google’s secure and scalable infrastructure. It's cost-effective, supports modern cloud tools, and is increasingly in demand across startups and large enterprises.
This tutorial is designed for both beginners and professionals. It offers a complete guide to use Google Cloud, whether you are new to cloud computing or want to improve your skills with GCP.
Prerequisites Before Learning GCP
Before start learning GCP Tutorial, it is necessary to have good understanding of operating systems, computer networking, basic coding commands in Linux terminal, and some prior knowledge of cloud computing:
- Linux command in DevOps
- What Is Cloud Computing
- Computer Networking
- Git Tutorial
- Basics of Database Concepts
Introduction
In this section we will discuss about GCP and its features, so explore this Google Cloud Platform introductory section and get all details of GCP.
- What is Google Cloud Platform (GCP)?
- Introduction to Google Cloud Platform
- Cloud Storage in Google Cloud Platform (GCP)
- Features of GCP
- Google Cloud Platform – Introduction to Qwiklabs
Compute Services
Google Cloud Compute Services allow you to run applications on Google's global infrastructure without the need to manage physical hardware. Whether you require virtual machines, containers, or serverless platforms, GCP provides flexible and scalable compute options for your workload.
In this section, we will discuss the key compute services, how to select the right one, and provide tips for performance, security, and cost savings.
- Key GCP Compute Services
- Introduction to Google Compute Engine
- How to use compute engine to launch and manage virtual machine?
- Google App Engine
- Google Kubernetes Engine
- Cloud Functions in GCP
- Cloud Run
- How to Use Google Cloud Function with Python?
- Difference Between Google Cloud Compute Engine and App Engine
Storage and Database Services
Google Cloud offers easy and secure storage and database services to help you save and manage your data. You can store files, backups, or large datasets using different types of storage, and use fast, managed databases for your apps. These services are reliable, scalable, and designed to grow with your needs.
In this section, we will discuss the different storage and database services provided by GCP
- Google Cloud Storage
- Google Persistent Disk & Google Filestore Services
- What is Google Cloud SQL?
- What is Google Cloud Spanner?
- What is Cloud Datastore?
- Introduction to Google Cloud Bigtable
- Google File System
- Introduction to Firebase Cloud Storage
- GCP MemoryStore
Networking Services
Google Networking Services help you connect and protect your apps and data in the cloud. They make sure your network is fast, secure, and reliable, letting your systems talk to each other and to users around the world easily.
- Google Cloud Platform Networking Services
- Google Cloud VPC
- Google Cloud Load Balancer
- What is Google Cloud CDN?
- Google Cloud DNS
Security Services
Google Cloud Platform (GCP) helps keep your data, apps, and cloud computers safe from hackers and any unauthorized users.
- What is GCP(Google Cloud Platform) Security?
- Access Control for Disaster Avoidance in Google Cloud IoT Core using IAM Policy
- Google Cloud Security Scanner
- Cloud IAM
- Cloud Armor
- Google Cloud Platform – Automatic Vs User-Managed Replication Policy
Data Integration and Analytics Services
We use data integration and analytics services in GCP to gather data from different sources, clean and organize it, and analyze it quickly. These tools help businesses make better decisions by turning complex data into useful information. They also save time by automating data tasks, making it easier and faster to work with data.
- Introduction to Databricks
- Introduction to BigQuery
- Introduction to BigQuery Sandbox
- Tables in BigQuery
- Running Queries in BigQuery
- User-Defined Functions in BigQuery
- Working with External Data in BigQuery
- Loading Data to BigQuery
- Implementing Authorized View in BigQuery
- Query History vs Saved Query vs Shared Query in BigQuery
- Managing Access using IAM in BigQuery
- Data Visualization in BigQuery
- Data Security in BigQuery
- What is Google Cloud Dataflow?
- Datafusion in Google Cloud Platform (GCP)
- What is Cloud Pub/Sub?
- Data Catalog
Management tools and Monitoring Services
Management tools and monitoring services in GCP help you periodically keep an eye on your cloud apps and resources to collect, analyse and use information to actively manage performance, maximise positive impacts and minimise the risk of adverse impacts They show you how everything is working, warn you if something goes wrong, and help fix problems quickly. These tools also help you organize and control your cloud setup, so it runs smoothly and safely without any issue.
- Google Cloud Monitoring and Google Cloud Logging
- Google Cloud Trace and Google Cloud Debugger
- Google Cloud Deployment Manager
- Google Cloud Error Reporting and Google Cloud Profiler
GCP Billing and Management
Cloud cost management is essential to avoid unexpected bills and optimize spending. GCP provides tools to monitor usage, set budgets, and analyze spending patterns, that helps you to make cost-efficient decisions.
How to Use Cloud Billing to Monitor Your Costs
GCP Interview Questions
The below are the most commonly asked GCP interview questions, covering all the important GCP services
GCP Certifications
GCP Certification is important because it proves you know how to use Google cloud services. It helps you get better job opportunities, a higher salary, and stand out from other candidates. Many companies prefer certified professionals since GCP is widely used in tech. It also boosts your skills and career growth.
Also read: Introduction to Google Associate Cloud Engineer Exam
GCP DevOps
In this section, we will explain how Google Cloud Platform (GCP) supports and enhances DevOps practices.
GCP Career Opportunities
The following table shows career opportunities in Google Cloud Platform (GCP), including the key skills needed and average salaries in India and the US:
| Job Role | Skills & Certifications | Average Salary(India) | Average Salary(US) |
|---|---|---|---|
| Cloud Engineer | GCP, Terraform, Kubernetes, CI/CD, Networking, Security | ₹4.4 – ₹26 LPA | $139,219 |
| Data Engineer | BigQuery, Dataflow, SQL, Python, ETL, GCP Data Tools | ₹8.2 – ₹19 LPA | $129,716 |
| Cloud Architect | GCP Architecture, Networking, Security, Infrastructure as Code, Google Cloud Professional Architect Certification | ₹16 – ₹65 LPA | $193,991 |
| DevOps Engineer | GCP, Kubernetes, Jenkins, Terraform, CI/CD, Monitoring | ₹6.75 – ₹23.4 LPA | $137,082 |
| Security Engineer | GCP Security, IAM, Networking, Encryption, Zero Trust, Google Cloud Security Engineer Certification | ₹10 – ₹45 LPA | $174,515 |
| Machine Learning Engineer | TensorFlow, Vertex AI, Python, Data Science, ML Ops, Google Cloud Professional Machine Learning Engineer Certification | ₹6.39 – ₹16.3 LPA | $290,000 |
| Cloud Consultant | GCP, Solution Architecture, Cost Optimization, Client Communication | ₹40 – ₹48 LPA | $194K–$303K |
| Site Reliability Engineer (SRE) | GCP, Kubernetes, Monitoring, Automation, Reliability Engineering | ₹15.7 – ₹48.5 LPA | $181,080 |
| Data Analyst | SQL, BigQuery, Data Visualization (Looker), Reporting | ₹4.5 – ₹12 LPA | $129,716 |
| Solutions Engineer | GCP, Technical Sales, Solution Design, Client Engagement | ₹3.7 – ₹20 LPA | $128,838 |
List of Companies using GCP
In this section we will discuss about the companies using GCP in different industries:
| Company Name | Industry | Use of GCP |
|---|---|---|
| Walmart | Retail | Cloud infrastructure and data analytics |
| Ford Motor Company | Automotive | Cloud services for connected vehicles |
| Verizon | Telecommunications | AI-driven customer engagement solutions |
| Mercedes-Benz | Automotive | Next-gen navigation and conversational AI |
| PayPal | Financial Technology | Scalable cloud infrastructure |
| Intel | Technology | Data processing and analytics |
| CVS Health | Healthcare | Hosting healthcare applications |
| McKesson | Healthcare | Cloud-based solutions for healthcare services |
| Equifax | Financial Services | Data analytics and security solutions |
| Scotiabank | Banking | Cloud services for banking operations |
| Unity Technologies | Software | Game development and real-time 3D content |
| Uber | Transportation | Enhancing customer experience with cloud solutions |
| Wayfair | E-commerce | Scalable cloud infrastructure for online retail |
| Palo Alto Networks | Cybersecurity | AI and infrastructure services |
| Social Media | AI-powered content moderation and user engagement | |
| Mattel | Consumer Goods | AI-driven customer sentiment analysis |
| Deloitte | Professional Services | Cloud solutions for business consulting |
| Johnson & Johnson | Healthcare | Cloud-based research and development |
| Takeda Pharmaceuticals | Pharmaceuticals | Clinical trials and data management |
| Kingfisher plc | Retail | Digital transformation and growth initiatives |
Conclusion
Google Cloud Platform (GCP) is a powerful and flexible cloud computing platform that offers a wide range of services for businesses and individuals. This tutorial provided an overview of GCP and its key features, as well as a detailed look at some of the most popular services offered by the platform. Both beginners and experts can easily understand this tutorial. With the ever-growing demand for cloud computing services, GCP is a valuable addition to any IT professional or developer's skill set.
