- Cloud Computing Overview
- What is AWS Cloud?
- Benefits of AWS Cloud
- Amazon Simple Storage Service (Amazon S3)
- Use Cases of Amazon S3
- Amazon EBS (Elastic Block Store)
- Amazon EFS (Elastic File System)
- Amazon FSx
Definition: Cloud computing is the on-demand delivery of IT resources such as compute power, storage, and applications over the internet with pay-as-you-go pricing.
Traditional vs. Cloud: Traditionally, developers had to procure, set up, and maintain physical infrastructure. Cloud computing simplifies this by providing rapid access to flexible and low-cost IT resources, allowing developers to focus on building and maintaining applications without large upfront investments.
Key Characteristics:
- On-demand: Access resources when needed.
- Pay-as-you-go: Pay only for what you use.
- Scalable: Scale resources up or down as required.
- Global reach: Deploy applications globally with minimal effort.
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Pay as you go:
- Only pay for the resources you use.
- Reduces waste and optimizes costs.
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Economies of Scale:
- Aggregated usage leads to higher economies of scale.
- Results in lower prices for users.
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Capacity Management:
- Avoid over-provisioning and under-provisioning.
- Scale resources dynamically based on demand.
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Speed and Agility:
- Rapid provisioning of IT resources.
- Reduces time to market and enhances innovation.
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Cost Savings:
- Focus on core business projects.
- Reduce expenses related to maintaining physical infrastructure.
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Global Deployment:
- Deploy applications in multiple regions.
- Provide lower latency and better customer experience.
Definition: AWS Cloud refers to Amazon’s cloud computing services, which provide on-demand delivery of IT resources over the internet with pay-as-you-go pricing. It includes a vast array of services ranging from compute power to storage, databases, analytics, networking, developer tools, IoT, security, and enterprise applications.
Key Features:
- Global Infrastructure: AWS operates from multiple data centers globally, allowing users to deploy resources in regions that best suit their needs.
- Scalability: Easily scale resources up or down based on demand, from serving a single customer to millions.
- Flexibility: Users can choose from over 200 fully-featured services to build, deploy, and manage applications efficiently.
- Pay-as-You-Go Pricing: Pay only for the resources consumed, with billing based on per-second or per-hour usage, depending on the service.
Example Use Case:
- Users can spin up virtual machines (EC2 instances) with specific configurations (e.g., CPU cores, memory) in seconds and pay for usage only when instances are running.
- Resources can be provisioned, managed, and scaled as needed, offering flexibility and cost-effectiveness.
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Cost Efficiency:
- No upfront costs; pay only for what you use.
- Benefit from economies of scale due to AWS’s large infrastructure.
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Agility and Innovation:
- Rapidly deploy applications and scale globally.
- Experiment and innovate faster with access to a wide range of services.
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Reliability and Security:
- Built-in security features and compliance certifications.
- High availability and reliability with global infrastructure.
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Global Reach:
- Deploy applications closer to end-users for lower latency and improved performance.
- Expand globally with minimal effort.
- Startups: Scale from initial development to large-scale operations without infrastructure constraints.
- Enterprise: Modernize IT infrastructure, run mission-critical applications, and reduce operational costs.
- Public Sector: Support government agencies with secure and compliant cloud solutions.
- Education and Research: Facilitate collaboration and innovation in academic and research institutions.
AWS Cloud provides a robust platform for organizations of all sizes to leverage cloud computing advantages such as scalability, cost-efficiency, agility, and global reach. By utilizing AWS services, businesses can focus on innovation and growth while AWS manages the underlying infrastructure and operational aspects.
- Overview: Fully managed, serverless, low-cost object-level storage service.
- Use Cases: Cloud applications, dynamic websites, content distribution, mobile and gaming apps, big data analytics.
- Key Features:
- Scalability: Store virtually unlimited amounts of data with different formats.
- Durability: Highly durable with data replicated across multiple Availability Zones (AZs).
- Storage Classes: Various options tailored for different access patterns and cost requirements.
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Amazon S3 Standard
- Suitable for dynamic websites, content distribution, mobile apps.
- Provides high throughput and low latency.
- Example: Storing frequently accessed media files for a social media platform.
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Amazon S3 Intelligent-Tiering
- Automatically moves objects between two access tiers based on changing access patterns.
- Example: Data lakes where access patterns are unpredictable.
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Amazon S3 Standard-IA (Infrequent Access)
- Ideal for data that is less frequently accessed but requires rapid access when needed.
- Example: Backup and restore systems for disaster recovery.
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Amazon S3 One Zone-IA
- Offers cost-effective storage in a single AWS Availability Zone.
- Example: Storing secondary backup copies.
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Amazon S3 Glacier Instant Retrieval
- Low-cost archive storage with millisecond retrieval times.
- Example: Compliance data that needs to be retained for long periods.
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Amazon S3 Glacier Flexible Retrieval
- Flexible retrieval options with costs balanced against access times.
- Example: Offsite storage for disaster recovery.
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Amazon S3 Glacier Deep Archive
- Lowest-cost storage for long-term retention and digital preservation.
- Example: Regulatory compliance data retention.
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Amazon S3 on Outposts
- Extends Amazon S3 storage to on-premises AWS Outposts environments.
- Example: Hybrid cloud deployments requiring local data storage.
- High Durability: Data is replicated across multiple AZs.
- Scalability: Easily scale storage capacity up or down as needed.
- Event Triggers: Supports event-driven applications using AWS Lambda.
- Example: Automatically generating thumbnails for images uploaded to S3.
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Content Storage and Distribution
- Store and distribute large volumes of data.
- Example: Hosting media files for a streaming service.
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Backup and Archiving
- Durable storage for backup data.
- Example: Long-term storage of database backups.
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Build a Data Lake
- Store and analyze large datasets.
- Example: Big data analytics platforms.
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Backup and Restore Critical Data
- Ensure high availability and data integrity.
- Example: Continuous data protection for critical applications.
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Archive Data
- Cost-effective long-term storage for data compliance.
- Example: Archiving financial records.
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Run Cloud-Native Apps
- Build scalable applications in the cloud.
- Example: Development and deployment of serverless applications.
- Description: Provides persistent block-level storage volumes for use with Amazon EC2 instances.
- Use Cases:
- Database Storage: Running databases that require consistent performance.
- Boot Volume: Storing the operating system or boot applications.
- Transactional Workloads: Handling transactional workloads requiring low-latency storage.
- Features:
- Snapshotting: Allows creating point-in-time backups of volumes.
- Encryption: Provides data-at-rest encryption for enhanced security.
- Volume Types: Offers options like General Purpose SSD, Provisioned IOPS SSD, and Throughput Optimized HDD.
- Description: Provides scalable file storage for use with Amazon EC2 instances.
- Use Cases:
- Big Data Applications: Storing large datasets for analytics.
- Content Management: Managing content repositories and media files.
- Web Serving: Hosting web content that needs shared access.
- Features:
- Elasticity: Automatically scales storage capacity up or down as files are added or removed.
- Compatibility: Supports the Network File System (NFS) protocol.
- Performance Modes: Offers two performance modes: General Purpose and Max I/O.
- Description: Offers fully managed file systems optimized for specific workloads.
- Supported File Systems:
- Amazon FSx for Windows File Server: Provides fully managed Windows file servers with native Windows file system compatibility.
- Amazon FSx for Lustre: Offers high-performance file systems optimized for compute-intensive workloads.
- Use Cases:
- Windows File Server: Centralized storage for Windows-based applications and workloads.
- Lustre File System: High-performance computing, machine learning, and media processing.
- Features:
- Managed Service: Handles maintenance tasks such as patching and backups.
- Integration: Easily integrates with other AWS services like EC2 and S3.
- Cost Efficiency: Pay only for the storage and throughput capacity you use.