This is a System Architecture Diagram that serves as first task of an AWS cloud-Based Storage System project for for Accenture company hosted by Qureos website.
Design a scalable and secure system architecture for a cloud-based storage service. The architecture should handle large amounts of data, ensure data security, and provide efficient access control mechanisms.
- Comprehensive system architecture diagram.
- Document explaining design decisions, scalability considerations, and security measures.
This repository outlines the design decisions, scalability considerations, security measures, and additional features of the Cloud-Based Storage System Architecture.
The architecture leverages a reputable Cloud Service Provider, such as AWS, for its robust infrastructure, scalability features, and a comprehensive set of cloud services.
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S3 Buckets: Scalable and durable object storage for ease of use, scalability, and redundancy features.
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Glacier for Archival Storage: Low-cost archival storage with data retrieval options, suitable for long-term data retention.
DynamoDB is employed as the database for storing metadata due to its NoSQL nature, allowing for flexible schema design and seamless scalability.
API Gateway is employed for access control, rate limiting, and as a central entry point for managing API requests.
AWS Identity and Access Management (IAM) is chosen for authentication, providing fine-grained access controls and seamless integration with other AWS services.
AWS Key Management Service (KMS) is used for encryption, ensuring data confidentiality through secure and centralized key management.
Custom APIs for file upload, download, and sharing provide controlled access to the storage system.
A web interface serves as the user access point, providing a user-friendly experience for interacting with the cloud-based storage system.
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S3 Buckets: Automatically scales storage capacity to accommodate increasing amounts of data.
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DynamoDB: Dynamically scales read and write capacity based on demand, facilitating scalability.
API Gateway can handle a large number of concurrent requests, with scalability managed by AWS behind the scenes.
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CDN (Content Delivery Network): Enhances scalability by distributing content globally, reducing latency, and handling a large number of requests efficiently.
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Load Balancer: Distributes incoming network traffic across multiple servers to ensure optimal resource utilization and prevent overload on individual components.
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Auto-Scaling Mechanism: Automatically adjusts the number of compute resources based on demand, enhancing system scalability during traffic spikes.
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Data at Rest: AES-256 encryption for data stored in S3 buckets and DynamoDB ensures the confidentiality and integrity of stored information.
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Data in Transit: Secure data transmission is guaranteed through the use of HTTPS, facilitated by the TLS protocol.
- AWS IAM: Provides secure user authentication and access control to AWS resources, ensuring that only authorized users can interact with the cloud-based storage system.
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AWS KMS: Manages encryption keys, ensuring secure key storage and access control.
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Redundancy & Failover Systems: Inclusion of redundancy mechanisms enhances system robustness, minimizing the impact of potential failures.
The Cloud-Based Storage System Architecture is designed to be scalable, secure, and robust. Leveraging industry-leading cloud services ensures optimal performance and reliability. The design decisions, scalability considerations, and security measures collectively contribute to the creation of a resilient and efficient cloud-based storage system.