#system-design

#system-design

Leverage and impact-per-hour are critical factors in research or engineering effectiveness, overshadowing mere technical ability.

Transaction order finality is crucial for determining system state in blockchain systems.

Self-serve access to systems is beneficial but not universally applicable; complexity can hinder its effectiveness.

The CAP theorem illustrates the fundamental constraints in designing distributed systems, emphasizing tradeoffs between consistency, availability, and partition tolerance.

QA contributes to multiple phases of the SDLC, enhancing processes beyond just testing software.

UML diagrams improve communication and project clarity in software development by providing a standardized visual language.

Function pointers enhance modular design by allowing anonymous registration and reducing code coupling.

Multicast callbacks enable multiple subscribers to receive notifications concurrently.

Implement robust logging and monitoring from the start to manage data at scale effectively.

Mastering Data Structures and Algorithms is crucial for optimizing data engineering tasks.

Emphasis on practical application of system design on AWS, starting small and scaling up step by step.