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Storage Services: Amazon S3, EBS, and Glacier Overview and Use Cases

Lesson 6/29 | Study Time: 20 Min

Data storage is a fundamental component of cloud computing, enabling organizations to securely store, retrieve, and manage vast amounts of data efficiently.

AWS offers a diverse array of storage services tailored to various data types, performance needs, and cost considerations.

Among these, Amazon S3, Elastic Block Store (EBS), and Glacier are some of the most widely used storage solutions, each serving unique purposes and use cases within the AWS ecosystem.

Amazon S3 (Simple Storage Service)

Amazon S3 is an object storage service designed for storing and retrieving any amount of data from anywhere on the internet. It offers high durability, scalability, and security, making it ideal for a wide range of storage needs.


Use Cases:


1. Backup and restore solutions.

2. Content distribution and media hosting.

3. Big data analytics and data lake storage.

4. Static website hosting.

EBS (Elastic Block Store)

EBS provides persistent block storage for EC2 instances, functioning similarly to traditional hard drives but with cloud-native benefits.


Use Cases:


1. Running databases, transactional systems, and applications requiring consistent I/O performance.

2. Hosting operating systems for EC2 instances.

3. Data warehousing and analytics workloads.

Amazon Glacier

Amazon Glacier is an archival storage service designed for long-term data retention at a low cost, optimized for infrequently accessed data.


Use Cases:


1. Archiving compliance data.

2. Long-term backups and disaster recovery archives.

3. Media and content preservation that does not require immediate access.

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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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