pull down to refresh

  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?

https://m.stacker.news/29379