30 system design concepts

Use autoscaling for traffic spikes
design for scalability from the start
plan for and implement fault tolerance
prioritize horizontal scaling for scalability
implement data partitioning and sharding
use data lakes for analytics and reporting
employ CDNs for global latency reduction
make operations idempotent for simplicity
use event-driven architecture for flexibility
employ blob/object storage for media files
embrace tradeoffs; perfection is unattainable
implement Data Replication and Redundancy
Implement rate Limiting for system protection
use a read-through cache for read-heavy apps
utilize write-through cache for write-heavy apps
opt for NoSQL Databases for unstructured data
use Heartbeat Mechanisms for failure detection
adopt WebSockets for real-time communication
employ Database Sharding for horizontal scaling
clearly define system use cases and constraints
consider microservices for flexibility and scalability
design for flexibility; expect requirements to evolve
utilize Database Indexing for efficient data retrieval
understand requirements thoroughly before designing
Utilize asynchronous processing for background tasks
consider denormalizing databases for read-heavy tasks
avoid over-engineering; add functionality only as needed
prefer SQL Databases for structured data and transactions
use Load Balancers for high availability and traffic distribution
consider message queues for asynchronous communication