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Software Architecture

What are the key principles for architecting systems that enable innovation and are performant?

Subjects​

Refer to System Design Primer

Context​

Discipline​

How minimal can I make the cognitive load for developers to understand the code, then how can I optimize data flow.

  1. Focus on data flow and locality:
    • Modern programming paradigms often hide data flow and locality, which are crucial for performance.
    • Systems should be designed with data flow in mind from the start.
    • Locality is critical for high-performance computing.
  2. Resource planning and allocation:
    • Pre-allocate resources (memory, cores) at job startup rather than relying on dynamic allocation.
    • Be explicit about resource requirements and limitations.
    • Avoid using features like malloc that pretend resources are infinite.
  3. Use a tile architecture:
    • Assign specific tasks to dedicated cores or "tiles".
    • This allows for specialization, efficient caching, and deterministic performance.
    • Provides natural security boundaries between components.
  4. Rethink abstraction layers:
    • Many modern APIs and operating systems hide important low-level details.
    • Create abstractions that allow developers to express locality and data flow without needing to understand all low-level details.
  5. Optimize for real-world constraints:
    • Consider physical limitations like the speed of light.
    • Design systems with concurrency budgets in mind (e.g., number of instruction pointers available).
  6. Encourage proper resource management:
    • Provide developers with tools and abstractions that naturally lead to good resource allocation practices.
    • Avoid relying on the operating system or language runtime to magically handle resource management.
  7. Focus on reliability and determinism:
    • Design systems to be hyper-deterministic and reliable.
    • This is crucial for financial applications that require quick, consistent responses.
  8. Plan for scale from the beginning:
    • For systems like Solana, think in terms of millions of transactions per second and huge numbers of accounts.
    • Design for quick recovery from outages.
  9. Rethink networking protocols:
    • Existing protocols like QUIC may not be optimal for validator needs.
    • Consider designing purpose-built protocols for high-performance blockchain systems.
  10. Address implicit behaviors:
    • Spend time identifying and specifying all implicit behaviors in the system.
    • This is crucial for creating a reliable and consistent implementation across different clients.