Learn All Clouds (Google, AWS, Azure) in One Shot
A Beginner’s Guide for Cloud Computing Freshers and Experienced Professionals
Whether you're just stepping into the world of cloud computing or looking to sharpen your multi-cloud understanding, mastering Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure together can be a game changer. This guide breaks down the core services offered by each cloud provider, organized by category, to help you compare and learn them efficiently.
Step 1: Understand What is Cloud Computing? From Localhost to the Cloud
In the early days of software development, running an application was relatively straightforward. Developers wrote code and tested it on their localhost — the computer right in front of them. The localhost server was perfect for writing and debugging small applications. But as user demand grew and apps became more complex, this setup quickly ran into limitations.
From Localhost to Network Servers
When applications needed to be accessed by multiple users or teams, developers moved beyond localhost to network servers. These servers, typically housed in offices or on-premise data centers, could serve applications to others on the same network or even across the internet. This shift allowed developers to test apps in more realistic environments, simulate multiple users, and even deploy production systems for internal or public use.
However, running your own network servers came with challenges:
-
Hardware costs: You had to buy and maintain physical servers.
-
Maintenance burden: Updates, backups, security patches, and troubleshooting became ongoing responsibilities.
-
Scalability issues: What if your app suddenly got thousands of users overnight? Scaling up meant buying more servers, which wasn’t instant or cheap.
The Scalability Dilemma
Scalability became a major pain point. If your app grew rapidly, you had to anticipate demand in advance — often buying more infrastructure than you needed “just in case.” On the flip side, if demand dropped, your expensive servers sat underutilized.
This unpredictability led to wasted resources, slow performance, or downtime — all of which could hurt user experience and business growth.
Enter: Cloud Computing
Cloud computing changed the game by providing on-demand access to computing resources over the internet. Instead of managing physical servers, developers and businesses could “rent” infrastructure, platforms, or software from cloud providers like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
With cloud computing, you get:
-
Scalability on demand: Spin up more servers in seconds, not days.
-
Pay-as-you-go pricing: Only pay for what you use.
-
High availability: Cloud providers offer redundancy and failover systems.
-
Global reach: Deploy your app closer to users worldwide.
-
Security & compliance: Enterprise-grade security without managing it yourself.
Types of Cloud Services
Cloud computing services typically fall into three categories:
-
IaaS (Infrastructure as a Service): You manage the application; the provider manages the hardware (e.g., AWS EC2, Azure VMs).
-
PaaS (Platform as a Service): You focus on code; the provider handles the OS, runtime, and scaling (e.g., AWS Elastic Beanstalk, Google App Engine).
-
SaaS (Software as a Service): You use fully functional applications over the internet (e.g., Gmail, Dropbox, Salesforce).
Real-World Example
Imagine you're launching a new mobile app. On day one, 1,000 users sign up. By week two, that number jumps to 50,000. If you had used traditional servers, your app might crash due to overload. But with cloud services, you can scale your backend infrastructure instantly to handle the spike — and scale down just as easily when demand drops.
Cloud computing isn't just a trend — it's a fundamental shift in how software is developed, deployed, and scaled. From humble beginnings on localhost servers to globally distributed cloud infrastructure, developers now have the power to build applications that can reach millions without owning a single piece of hardware.
Whether you're an indie developer or a large enterprise, the cloud gives you flexibility, efficiency, and the freedom to focus on building great products — while leaving the heavy lifting to someone else.
Step 2: Understand the Services
Cloud Services Comparison Table
Category | GCP | AWS | Azure |
---|---|---|---|
Compute Services | Compute Engine | EC2 | Virtual Machines |
App Engine | Elastic Beanstalk | App Services | |
Cloud Functions | Lambda | Functions | |
Cloud Run | AWS Fargate | Azure Container Instances | |
Container Services | Google Kubernetes Engine (GKE) | Elastic Kubernetes Service (EKS) | Azure Kubernetes Service (AKS) |
Artifact Registry | Amazon ECR | Azure Container Registry | |
Storage Services | Cloud Storage | S3 | Blob Storage |
Persistent Disks | EBS | Managed Disks | |
Filestore | EFS | File Storage | |
Local SSD | Instance Store | Temp Storage | |
Database Services | Cloud SQL | RDS | Azure SQL Database |
Cloud Spanner | Aurora | Hyperscale | |
Bigtable | DynamoDB | Cosmos DB | |
Firestore / Datastore | DocumentDB | Table Storage | |
Networking | Virtual Private Cloud (VPC) | VPC | Virtual Network |
Cloud Load Balancing | ELB | Load Balancer | |
Cloud CDN | CloudFront | Azure CDN | |
Cloud DNS | Route 53 | Azure DNS | |
Cloud Interconnect | Direct Connect | ExpressRoute | |
Identity & Access | IAM | IAM | Azure Active Directory |
Cloud Identity | AWS Directory Service | Azure AD DS | |
Resource Manager | AWS Organizations | Management Groups | |
Security & Compliance | Security Command Center | AWS Security Hub | Microsoft Defender |
Cloud Armor | AWS WAF | Azure Front Door (WAF) | |
Binary Authorization | Code Signing | Azure Attestation | |
Monitoring & Logging | Cloud Monitoring (Stackdriver) | CloudWatch | Azure Monitor |
Cloud Logging | CloudTrail | Azure Log Analytics | |
Error Reporting | X-Ray | Application Insights | |
Analytics & Big Data | BigQuery | Redshift | Azure Synapse Analytics |
Dataflow | AWS Glue | Azure Data Factory | |
Dataproc | EMR | Azure HDInsight | |
Pub/Sub | Kinesis | Event Hubs | |
Data Fusion | Data Pipeline | Data Lake | |
AI & ML | Vertex AI | SageMaker | Azure Machine Learning Studio |
AutoML | Forecast, Personalize | Cognitive Services | |
Dialogflow | Lex | Bot Services | |
AI Platform Pipelines | Step Functions | Azure ML Pipelines | |
DevOps & CI/CD | Cloud Build | CodeBuild | Azure Pipelines |
Cloud Deploy | CodeDeploy | Azure Release Pipelines | |
Container Registry | ECR | Azure Container Registry | |
Artifact Registry | CodeArtifact | Azure Artifacts | |
Source Repositories | CodeCommit | Azure Repos | |
Hybrid & Multi-Cloud | Anthos | Outposts | Azure Arc |
BigQuery Omni | Snowball | Azure Stack | |
IoT Services | IoT Core | AWS IoT Core | Azure IoT Hub |
Edge TPU | Greengrass | Azure IoT Edge | |
Migration Tools | Migrate for Compute Engine | Server Migration Service | Azure Migrate |
Transfer Appliance | Snowball | Data Box | |
Developer Tools | Cloud SDK | AWS CLI | Azure CLI |
Cloud Shell | CloudShell | Azure Cloud Shell | |
Cloud Code | Cloud9 IDE | Visual Studio Codespaces | |
Management Tools | Cloud Console | Management Console | Azure Portal |
Cloud Billing | Cost Explorer | Cost Management + Billing | |
Deployment Manager | CloudFormation | Azure Resource Manager (ARM) |
Why Learn All Three?
-
Career Flexibility: Multi-cloud knowledge opens more job opportunities.
-
Resilience: Businesses often use multi-cloud for disaster recovery and flexibility.
-
Comparative Strengths: Each cloud excels in specific areas — for example, GCP is strong in AI, AWS in breadth, Azure in hybrid integration.
Tips to Master Cloud Platforms
-
Start with certification paths (e.g., AWS Cloud Practitioner, Azure Fundamentals, Google Cloud Digital Leader).
-
Use free tiers for hands-on experience.
-
Follow real-world projects and case studies.
-
Explore documentation, labs, and community forums.
Author | JEE Ganesh | |
Published | 5 months ago | |
Category: | Cloud Computing | |
HashTags | #CloudComputing #Software #AWSCertification #devops #gcp #googlecloud #googlecloudcertification #azure |