Question 1

Redis vs MongoDB for document storage?

Accepted Answer

Redis offers JSON support with in-memory speed and querying via Redis Query Engine, ideal for real-time apps, while MongoDB is better for disk-based, complex document hierarchies with richer query languages. Choose Redis if low latency is critical, but for large, persistent document stores, MongoDB might be more suitable.

Question 2

How to set up Redis clustering for high availability?

Accepted Answer

Redis supports clustering for horizontal scaling and fault tolerance, but it's not covered in detail in the README. Refer to the official Redis documentation for guides on configuration, sharding, and replication to ensure data distribution and resilience.

Question 3

What's the difference between Redis pub/sub and Kafka?

Accepted Answer

Redis pub/sub is lightweight and ideal for real-time messaging within apps, with low latency but no message persistence by default. Kafka is designed for high-throughput, durable event streaming with log retention, better suited for large-scale data pipelines.

Question 4

How to use Redis for full-text search?

Accepted Answer

Redis enables full-text search through the Redis Query Engine with indexes on hash or JSON documents. You need to build Redis with modules enabled, then define indexes and use query commands, as mentioned in the data types section.

Question 5

Redis memory management best practices?

Accepted Answer

Monitor memory usage with tools like Redis Insight, configure eviction policies (e.g., LRU), use data expiration (TTL), and consider persistence options like RDB or AOF. For large datasets, plan for clustering or offloading to disk-based stores.

Question 6

Installing Redis on Windows?

Accepted Answer

The README focuses on Linux, macOS, and BSD builds; for Windows, use official binaries from Redis or cloud services. Native support is limited, so consider Docker or WSL for development, and check Redis documentation for Windows-specific guides.

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