AI-generated notes from system design sessions typically focus on capturing key decisions, architecture choices, trade-offs, requirements, and any important follow-up tasks or discussions. Here’s a structured approach to creating these notes:
System Design Session Notes
1. Overview of the System
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System Objective: Brief summary of the system’s purpose and core functionality.
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Business Requirements: High-level business goals that the system needs to achieve.
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Key Stakeholders: List of people or teams involved in the design process or impacted by the system.
2. Functional Requirements
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Primary Use Cases: Description of the main operations the system should support (e.g., user sign-in, data processing, etc.).
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User Stories/Persona Mapping: How different users will interact with the system.
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External Integrations: Any external systems or services the system will interact with (e.g., payment gateways, APIs, databases).
3. Non-Functional Requirements
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Performance: Expected system performance metrics (e.g., response time, throughput, latency).
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Scalability: Ability to handle growth (e.g., user load, data volume).
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Availability & Reliability: Target uptime, failover strategies, and disaster recovery.
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Security: Authentication, authorization, data protection, and regulatory compliance (e.g., GDPR, HIPAA).
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Maintainability: Ease of updates, monitoring, and troubleshooting.
4. System Architecture Overview
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High-Level Architecture Diagram: Visual representation of the system’s core components and their relationships.
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Main Components/Modules:
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Frontend (UI/UX): How users will interact with the system (e.g., web, mobile).
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Backend (API/Services): Microservices, monolith, serverless, etc.
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Database(s): Relational vs NoSQL, data sharding, data replication strategies.
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Messaging/Queueing: Kafka, RabbitMQ, etc. for asynchronous communication.
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Storage: File systems, cloud storage, caching strategies (Redis, Memcached).
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External APIs/Services: Integration points and third-party dependencies.
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5. Technology Stack
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Frontend Technologies: Frameworks (React, Angular, etc.), languages (JavaScript, TypeScript), tools.
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Backend Technologies: Languages (Java, Python, Node.js), frameworks (Spring Boot, Django, Express).
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Database(s): SQL/NoSQL, database engines (PostgreSQL, MongoDB, Cassandra).
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Cloud/Infrastructure: AWS, Azure, GCP, Kubernetes, Docker, Terraform.
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Monitoring/Logging Tools: Prometheus, Grafana, ELK stack, Datadog.
6. Data Flow
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Input & Output: High-level flow of data through the system.
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Key Operations/Transformations: Critical data transformations or operations that need to be handled (e.g., sorting, aggregation).
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Error Handling: How errors will be managed at different levels (frontend, backend, data layer).
7. Trade-offs & Considerations
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Choice of Database: Pros/cons of using SQL vs NoSQL, sharding vs partitioning.
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Microservices vs Monolith: How the team decided between these two architectural styles and the trade-offs involved.
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Caching Strategy: Which data to cache, cache expiration policies, trade-offs with consistency.
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Asynchronous vs Synchronous Communication: Deciding when and why to use synchronous (REST) or asynchronous (message queues) communication.
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Scaling Decisions: Vertical vs horizontal scaling, load balancing, CDN usage.
8. Security Considerations
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Authentication: OAuth, JWT, session-based auth.
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Authorization: Role-based access control (RBAC), attribute-based access control (ABAC).
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Data Encryption: At rest, in transit.
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Input Validation & Sanitation: How to protect against common attacks like SQL injection, XSS, CSRF.
9. Risk & Mitigation
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Performance Bottlenecks: Areas where performance may degrade (e.g., database queries, file storage).
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Single Points of Failure: Identifying critical points in the system that, if failed, could cause an outage.
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Legal/Compliance Risks: Any potential regulatory or compliance concerns.
10. Next Steps & Action Items
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Follow-up Sessions: Any further deep-dive sessions or workshops needed.
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Research/Prototyping: Technologies or patterns to explore more before implementation.
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Tasks for Team Members: Who is responsible for specific components (e.g., setting up the CI/CD pipeline, designing the database schema).
These notes capture the core aspects of a system design session in a structured manner, helping to document decisions, responsibilities, and next steps for the team.