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AWS-GCP-Azure-System-Design.md

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Design a Cloud Serives Provider like AWS/GCP/Azure

System Requirements: The Cloud Services platform should support:

  1. Resource Provisioning:

Users can provision computing resources (virtual machines, containers). Support for various computing types (e.g., CPU, GPU).

  1. Storage Services:

Users can store and retrieve data (object storage, file storage, databases). Scalable and durable storage solutions.

  1. Networking Services:

Users can configure and manage network resources (load balancers, virtual networks). Support for private and public networking.

  1. Identity and Access Management (IAM):

Secure user authentication and authorization. Role-based access control (RBAC).

  1. Monitoring and Logging:

Logging and monitoring services for resource usage and application performance. Integration with popular monitoring tools.

  1. Scalability and Elasticity:

Ability to scale resources up or down based on demand. Auto-scaling mechanisms for dynamic workloads.

  1. Fault Tolerance and High Availability:

Redundancy and failover mechanisms for critical components. Data replication and backup strategies.

  1. Service Discovery and Load Balancing:

Service discovery for distributed architectures. Load balancing to distribute incoming traffic.

  1. Developer Tools:

SDKs, APIs, and developer-friendly tools for easy integration. Support for popular programming languages and frameworks.

  1. Billing and Metering:

Metered billing based on resource consumption. Transparent cost tracking and reporting.

Core Use Cases:

  1. Resource Provisioning:

Users can provision virtual machines, containers, and other computing resources. Specify resource configurations, such as CPU, memory, and storage.

  1. Data Storage and Retrieval:

Users can store and retrieve data using various storage services. Support for object storage, file storage, and databases.

  1. Network Configuration:

Users can configure virtual networks, load balancers, and other network resources. Ensure security and isolation between different user environments.

  1. Identity and Access Management:

Secure user authentication and authorization. Define roles and permissions for users and services.

  1. Monitoring and Logging:

Provide tools for users to monitor resource usage and application performance. Centralized logging for better troubleshooting.

  1. Scaling Resources:

Auto-scaling based on predefined metrics and policies. Seamless scaling without downtime.

  1. Fault Tolerance:

Redundancy for critical components to ensure high availability. Rapid recovery from failures without data loss.

  1. Service Discovery and Load Balancing:

Efficient service discovery for distributed applications. Load balancing to distribute traffic evenly across multiple instances.

Key Classes:

  1. CloudSystemService:

Manages the overall operations of the cloud services platform.

  1. UserResource:

Represents a user and manages their provisioned resources.

  1. StorageService:

Represents various storage services (object storage, file storage, databases).

  1. NetworkService:

Manages network-related configurations and resources.

  1. IdentityService:

Handles user authentication, authorization, and identity management.

  1. MonitoringService:

Provides tools for monitoring and logging.

  1. ScalingService:

Manages auto-scaling and resource scaling.

  1. FaultToleranceService:

Implements fault tolerance mechanisms.

  1. LoadBalancingService:

Manages load balancing and service discovery.

  1. DeveloperTools:

Includes SDKs, APIs, and developer-friendly tools.