| For a Read-Heavy System | Consider using a Cache. |
| For a Write-Heavy System | Use Message Queues for async processing |
| For a Low Latency Requirement | Consider using a Cache and CDN. |
| Need ðtomicity, ðonsistency, ðsolation, ðurability Compliant DB | Go for RDBMS/SQL Database. |
| Have unstructured data | Go for NoSQL Database. |
| Have Complex Data (Videos, Images, Files) | Go for Blob/Object storage. |
| Complex Pre-computation | Use Message Queue & Cache. |
| High-Volume Data Search | Consider search index, tries or search engine. |
| Scaling SQL Database | Implement Database Sharding. |
| High Availability, Performance, & Throughput | Use a Load Balancer. |
| Global Data Delivery | Consider using a CDN. |
| Graph Data (data with nodes, edges, and relationships) | Utilize Graph Database. |
| Scaling Various Components | Implement Horizontal Scaling. |
| High-Performing Database Queries | Use Database Indexes. |
| Bulk Job Processing | Consider Batch Processing & Message Queues. |
| Server Load Management & Preventing DOS Attacks | Use a Rate Limiter. |
| Microservices Architecture | Use an API Gateway. |
| For Single Point of Failure | Implement Redundancy. |
| For Fault-Tolerance and Durability | Implement Data Replication. |
| For User-to-User fast communication | Use Websockets. |
| Failure Detection in Distributed Systems | Implement a Heartbeat. |
| Data Integrity | Use Checksum Algorithm. |
| Efficient Server Scaling | Implement Consistent Hashing. |
| Decentralized Data Transfer | Consider Gossip Protocol. |
| Location-Based Functionality | Use Quadtree, Geohash, etc. |
| Avoid Specific Technology Names | Use generic terms. |
| High Availability and Consistency Trade-Off | Eventual Consistency. |
| For IP resolution & Domain Name Query | Mention DNS. |
| Handling Large Data in Network Requests | Implement Pagination. |
| Cache Eviction Policy | Preferred is LRU (Least Recently Used) Cache. |
| To handle traffic spikes | Implement Autoscaling to manage resources dynamically |
| Need analytics and audit trails | Consider using data lakes or append-only databases |
| Handling Large-Scale Simultaneous Connections | Use Connection Pooling and consider using Protobuf to minimize data payload |
| To prevent overloading systems | Use Token Bucket and Leaky bucket Algorithms |
| Minimize deployment downtime | Implement Blue-Green deployment to minimize downtime and reduce risks |