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Overview of Cloud Computing and AWS Cloud

Lesson 1/29 | Study Time: 20 Min

Cloud computing is a transformative technology that delivers computing services such as servers, storage, databases, networking, software, and analytics over the internet.

Instead of relying on local physical infrastructure, users access these resources on demand, paying only for what they use.

This approach removes the need for upfront capital investments in hardware, allowing businesses to scale resources dynamically to meet changing demands.

The broad adoption of cloud computing enables faster innovation, agility, cost savings, and improved collaboration across industries.

Amazon Web Services (AWS) is a leading cloud platform offering a vast portfolio of scalable, secure, and flexible cloud services globally.

AWS allows organizations to deploy applications and infrastructure rapidly in multiple regions, ensuring high availability and low latency.

Under its shared responsibility model, AWS manages the security of its cloud infrastructure, while customers manage security in their cloud environments. This division provides strong security protections and compliance frameworks critical for modern enterprises.

Characteristics of Cloud Computing

Cloud computing exhibits several fundamental traits that drive its widespread adoption:


1. On-Demand Self-Service: Instant provisioning and management of computing resources without human interaction with service providers.

2. Broad Network Access: Services are accessible over the internet from various devices such as laptops, smartphones, and tablets.

3. Resource Pooling: Computing resources are pooled to serve multiple customers dynamically, optimized across demand peaks and troughs.

4. Rapid Elasticity: Resources can scale quickly up or down to match workload requirements, ensuring cost efficiency and performance.

5. Measured Service: Usage is tracked and billed based on actual consumption, with an efficient pay-as-you-go pricing model.


AWS Cloud Infrastructure

AWS operates a globally distributed infrastructure consisting of:


ComponentDescription
RegionsGeographically distinct areas that host multiple Availability Zones, allowing customers to deploy applications close to their users for better performance and compliance.
Availability Zones (AZs)Isolated data centers within a region that provide redundancy, fault-tolerance, and high availability for applications and data.
Edge LocationsSites located globally for content delivery and caching to reduce latency, primarily used by services like Amazon CloudFront.

This infrastructure design supports resilient architectures capable of meeting diverse application needs. AWS offers a wide array of services, ranging from compute (EC2, Lambda) and storage (S3, EBS) to databases (RDS, DynamoDB) and networking (VPC, Route 53), as well as machine learning and the Internet of Things (IoT), enabling comprehensive cloud solutions.

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Nate Parker

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Class Sessions

1- Overview of Cloud Computing and AWS Cloud 2- AWS Global Infrastructure: Regions, Availability Zones, and Edge Locations 3- Shared Responsibility Model in AWS 4- Key Benefits of AWS Cloud: Scalability, Elasticity, and Cost Optimization 5- Compute Services: Amazon EC2, Lambda, and Elastic Beanstalk Basics 6- Storage Services: Amazon S3, EBS, and Glacier Overview and Use Cases 7- Database Services: Amazon RDS, DynamoDB, and Aurora Fundamentals 8- Monitoring and Management: AWS CloudWatch and CloudTrail Essentials 9- Designing Scalability and High Availability: Auto Scaling and Elastic Load Balancing 10- Virtual Private Cloud (VPC): Components, Subnets, Route Tables, Network ACLs, and Security Groups 11- VPN vs. Direct Connect: Connectivity Options Explained 12- AWS Identity and Access Management (IAM): users, groups, roles, policies, and best practices 13- Data Protection: Encryption Options (SSE, KMS) and SSL/TLS Basics 14- AWS Security Best Practices and Compliance Considerations 15- Designing for Fault Tolerance Using Multi-AZ and Multi-Region Deployments 16- Load Balancing Strategies with Elastic Load Balancers: Application, Network, Classic 17- Backup and Recovery Strategies with AWS Backup, Snapshots, and Lifecycle Policies 18- Disaster Recovery Fundamentals and AWS Architecture Approaches: Pilot Light, Warm Standby, Multi-Site 19- AWS Pricing Models: On-Demand, Reserved Instances, and Spot Instances 20- Cost Management Tools: AWS Cost Explorer, Budgets, Pricing Calculator Basics 21- Architectural Best Practices for Cost-Efficient Solutions in AWS 22- Rightsizing and Resource Optimization Techniques in AWS 23- Infrastructure as Code (IaC) Basics: AWS CloudFormation Introduction. 24- Deploying Applications Using AWS Elastic Beanstalk and AWS Lambda Serverless Computing 25- Continuous Integration and Continuous Deployment (CI/CD) Overview with AWS Developer Tools: CodeCommit, CodePipeline, CodeBuild 26- Monitoring application health and performance in production environments 27- Exam Overview, Format, and Registration Process for AWS Certification 28- Tips for Answering Scenario-Based Questions in AWS Exams 29- Practice Questions and Explanations for AWS Solutions Architect – Associate Exam

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