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Introduction to Cloud Computing
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Welcome to the Introduction to Cloud Computing course at Skunkworks Academy! This course is designed to provide you with a comprehensive understanding of cloud computing concepts, models, and services.
In this course, you will learn:
- The basics of cloud computing
- Different cloud service models (IaaS, PaaS, SaaS)
- Cloud deployment models (Public, Private, Hybrid)
- Benefits and challenges of cloud computing
- Key cloud providers and their services
Cloud computing is the delivery of computing servicesβincluding servers, storage, databases, networking, software, and analyticsβover the internet (βthe cloudβ). Companies offering these computing services are called cloud providers.
- **On-Demand Self-Service**: Users can provision computing resources as needed automatically.
- **Broad Network Access**: Services are available over the network and accessed through standard mechanisms.
- **Resource Pooling**: Providerβs computing resources are pooled to serve multiple users using a multi-tenant model.
- **Rapid Elasticity**: Capabilities can be elastically provisioned and released to scale rapidly.
- **Measured Service**: Cloud systems automatically control and optimize resource use by leveraging a metering capability.
Cloud computing services are typically classified into three models:
- Provides virtualized computing resources over the internet.
- Examples: Amazon Web Services (AWS) EC2, Google Compute Engine, Microsoft Azure VMs.
- Offers hardware and software tools over the internet, typically those needed for application development.
- Examples: Google App Engine, AWS Elastic Beanstalk, Microsoft Azure App Services.
- Delivers software applications over the internet, on a subscription basis.
- Examples: Google Workspace, Microsoft Office 365, Salesforce.
Cloud computing can be deployed in various models to meet different business needs:
- Services are delivered over the public internet and shared across organizations.
- Examples: AWS, Google Cloud Platform, Microsoft Azure.
- Computing resources are used exclusively by one business or organization.
- Example: Internal data centers.
- Combines public and private clouds, allowing data and applications to be shared between them.
- Example: Combining on-premises infrastructure with public cloud services.
- **Cost Savings**: Reduces capital expenditure.
- **Scalability**: Easy to scale resources up or down.
- **Accessibility**: Access services from anywhere with an internet connection.
- **Disaster Recovery**: Simplifies data backup and recovery.
- **Security and Privacy**: Ensuring data protection.
- **Compliance**: Meeting regulatory requirements.
- **Downtime**: Potential for service outages.
- **Vendor Lock-In**: Difficulty in migrating from one cloud provider to another.
- **Amazon Web Services (AWS)**: A comprehensive and widely adopted cloud platform.
- **Microsoft Azure**: A growing collection of integrated cloud services.
- **Google Cloud Platform (GCP)**: A suite of cloud computing services that runs on the same infrastructure that Google uses internally.
To deepen your understanding of cloud computing, consider exploring the following resources:
- [AWS](https://docs.aws.amazon.com/)
- [Azure](https://docs.microsoft.com/en-us/azure/)
- [Google](https://cloud.google.com/docs)
Complete the final assessment to test your knowledge and earn a certificate of completion for this course.
Join our community to discuss this course and cloud computing topics with peers and experts:
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