Welcome to Day 3 of my #30DaysOfCloud journey!
Today I dived into the Deployment Models and Service Models that define how cloud computing is delivered and consumed.

🌐 Cloud Deployment Models

1️⃣ Public Cloud

🌍 Cloud resources are owned and operated by third-party providers like AWS, Azure, or GCP.
Example: Hosting a website on AWS EC2.

2️⃣ Private Cloud

🏢 Cloud resources are used exclusively by one organization — offering greater control and security.
Example: A VMware-powered private data center.

3️⃣ Hybrid Cloud

🔗 Combines public and private clouds to balance flexibility, compliance, or residency requirements.
Example: Sensitive data on-premises, app hosted on AWS.

4️⃣ Multi-Cloud

☁☁ Uses multiple public cloud providers to avoid lock-in or optimize services.
Example: AWS for compute, GCP for analytics.

🔧 Cloud Service Models

🛠️ IaaS – Infrastructure as a Service

Provides virtualized computing resources over the internet.
Examples: Amazon EC2, S3, VPC

🧰 PaaS – Platform as a Service

Gives developers tools and platforms to build applications without managing infrastructure.
Examples: AWS Lambda, Elastic Beanstalk

💻 SaaS – Software as a Service

Ready-to-use applications delivered over the web — just log in and use.
Examples: Google Workspace, Salesforce

🔍 Why This Matters

Understanding deployment and service models helps you:

Design the right cloud architecture
Make informed choices for security, cost-efficiency, and performance

📅 Up Next (Day 4):
I'll begin exploring Amazon EC2 — the backbone of AWS compute services!

🚀 Let’s keep learning and building together. If you're on a similar journey, follow along and share your thoughts!

✅ Day 3 of 30 ☁ – Cloud Deployment Models & Cloud Types