ScaleSmart.md

ScaleSmart.md

System Design Resiliency Cards

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Card 1: Scalability

• Design for horizontal scaling to handle increased load.
• Implement load balancing to evenly distribute traffic across servers.
• Use sharding or partitioning to manage large datasets.

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Card 2: Consistency

• Consider eventual consistency for systems that need to scale easily.
• Eventual consistency often requires consensus algorithms (e.g., Paxos, Raft).
• Explore sharding and data read/write separation as easier-to-implement alternatives.
• Use double entry, order insertion ledgers to ensure accurate tracking of transactions and changes.

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Card 3: Availability

• Ensure high availability with active-active, autoscaling, or predicted scaling.
• Use Caching, and Backoff Retries to avoid cascading
• Maintain multiple copies of critical data.

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Card 4: Latency

• Optimize response times with in mem caching (e.g., Redis, Memcached).
• Use indexing and efficient algorithms to enhance database query speed.
• Chill with the lambdas

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Card 5: Error Resilience

• Incorporate fault tolerance mechanisms such as circuit breakers and backedpff retries
• Use dead letter queues to handle failed tasks with automatic retries.
• Implement redundancy to eliminate single points of failure.

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Card 6: State Management

• Use external session stores (e.g., Redis) to manage session data across servers.
• Move state to transactions wherever possible

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Card 7: Monitoring and Observability

• Cannot have too much

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Card 8: Asynchronous Processing

• Use message queues (e.g., Kafka, RabbitMQ) for decoupling services.
• Implement background jobs for tasks that do not require immediate user feedback.
• Avoid the Reporting Batch Hell if you can

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Card 9: Resource Efficiency

• Use elastic scaling to optimize resource usage based on demand.
• PreLeased Instances often favor larger machines versus horizontal scaling cattle
• Optimize cloud resources to reduce costs without sacrificing performance.
• Use CDN for cost-effective content delivery and reduced server load push compute to the edge

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Card 10: Trust and Security

• Implement authentication and authorization to secure access.
• Encrypt sensitive data in transit and at rest.
• Use rate limiting and throttling to protect against abuse and overuse.

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Mnemonic: SCALE SMART

• S: Scalability (horizontal scaling, load balancing).
• C: Consistency (eventual consistency, sharding, ledgers).
• A: Availability (redundancy, failover).
• L: Latency and performance (caching, indexing).
• E: Error resilience (circuit breakers, retries).
• S: State management (session stores, state machines).
• M: Monitoring and observability (logging, alerting).
• A: Asynchronous processing (queues, event-driven).
• R: Resource efficiency (elastic scaling, cost control).
• T: Trust and security (encryption, authentication).