Cloud Computing -
Cloud computing refers to delivering computing servicesāsuch as servers, storage, databases, networking, software, analytics, and intelligenceāover the internet ("the cloud"). Instead of owning physical hardware, you can access these resources on-demand from a cloud provider like AWS, Microsoft Azure, or Google Cloud.
Why Do We Need Cloud Computing?
Cost Efficiency
No upfront investment: Reduces the need for purchasing expensive hardware.
Pay-as-you-go model: Pay only for the resources you use.
Scalability
- Easily scale up or down based on your business needs without overprovisioning resources.
Accessibility
Access applications and data from anywhere, as long as you have an internet connection.
Supports remote work and collaboration.
Reliability
- Cloud providers typically guarantee high uptime and offer data backups and disaster recovery solutions.
Performance
- Leverages globally distributed data centers to reduce latency and increase speed.
Security
Cloud providers implement advanced security measures, such as encryption, firewalls, and compliance standards.
Cloud Computing Services Models -
Software as a Service (SaaS) - Saas also known as āOn-demand Softwareā. It is a cloud computing model where software applications are delivered over the internet on a subscription basis. Instead of installing and maintaining software on individual devices, users access it via a web browser, reducing the complexity of software management.
Platform as a Service (PaaS) - A cloud computing model provides a platform for developers to build, test, deploy, and manage applications without worrying about the underlying infrastructure. It abstracts the complexity of managing servers, storage, and networks, allowing developers to focus on writing and deploying code.
IaaS (Infrastructure as a Service) - It is a cloud computing model that provides virtualized computing resources over the internet. It offers basic infrastructure components like virtual servers, storage, networking, and operating systems on a pay-as-you-go basis. Users have full control over the operating system and applications, not the underlying hardware.
Deployment Models of Cloud Computing -
1. Public Cloud
The cloud infrastructure is owned and operated by a third-party provider, offering services to multiple customers over the internet.
Key Features
Shared resources among multiple users (multi-tenancy).
Accessible via a public network (e.g., the internet).
Pay-as-you-go pricing model.
Advantages
Cost-effective: No need for infrastructure investment.
Scalable: Resources can be scaled up or down easily.
Maintenance-free: Provider manages updates and security.
Examples
Amazon Web Services (AWS)
Microsoft Azure
Google Cloud Platform (GCP)
2. Private Cloud
The cloud infrastructure is dedicated to a single organization and can be hosted on-premises or by a third-party provider.
Key Features
Exclusively used by one organization.
Greater control over data and security.
Customizable to meet specific business needs.
Advantages
Enhanced security and privacy.
Greater control over resources and compliance.
Ideal for sensitive data or regulated industries.
Examples
VMware Private Cloud
OpenStack
IBM Cloud Private
3. Hybrid Cloud
Combines public and private cloud environments, allowing data and applications to move between them as needed.
Key Features
Integrates on-premises (private) and public cloud infrastructure.
Offers flexibility to manage workloads based on business needs.
Allows for sensitive data to remain in a private cloud while leveraging public cloud resources for scalability.
Advantages
Flexible resource allocation.
Cost optimization by using public cloud for non-critical tasks.
Supports disaster recovery and business continuity.
Examples
AWS Outposts
Microsoft Azure Arc
Google Anthos
4. Community Cloud
A shared cloud environment tailored for organizations with common interests, such as compliance, security, or regulatory needs.
Key Features
Shared among organizations with similar goals or requirements.
Can be managed internally or by a third-party provider.
Focused on collaboration and resource sharing.
Advantages
Cost-sharing among members reduces expenses.
Enhanced security for shared, sensitive data.
Promotes collaboration between organizations.
Examples
Healthcare and research institutions sharing data.
Government agencies with shared infrastructure.