1. Read-Heavy System? Use Cache for faster reads.
Caching temporary data in high-speed data storage (Cache) reduces access time.
  1. Write-Heavy System? Use Message Queues for async writing.
Message queues decouple processes that produce and consume data, allowing for async processing.
  • Take care of load spikes.
  • Improve system responsiveness.
  • Enhance write operations' reliability.
  1. Transactional data? Choose RDBMS/SQL Database.
RDBMS for managing structured data with complex relationships. They support ACID; they are ideal for integrity and reliability.
  1. Unstructured or Semi-structured Data? Use NoSQL Database.
They offer flexibility in data models and good handling of large volumes of data.
  1. Complex Data (Videos, Images, Files)? Use Blob/Object storage.
Blob or object storage systems offer:
  • Scalability.
  • Durability.
  • Cost-effectiveness.
Ideal for multimedia content and data archival purposes.
  1. High Availability? Use Load Balancer.
Load balancers distribute incoming network traffic; that way, no single server becomes overwhelmed.
You get fewer failures since the service remains accessible even during high traffic or server failures.
  1. High-Volume Data Search? Use a search index or engine.
Search indexes or engines optimize the performance of search queries across large datasets.
Search indexes enable quick data retrieval.
What else?