What are the main challenges of implementing distributed caching?
Some main challenges include data consistency, cache invalidation, network latency, and handling partitioning.
How does data consistency affect distributed caching?
Data consistency ensures that all nodes have the same data. Inconsistent data can lead to errors and outdated information.
What strategies can be used for cache invalidation?
Common strategies include time-based expiration, manual invalidation, and event-driven invalidation to keep data fresh.
Can you explain network latency issues in distributed caching?
Network latency can slow down access to cached data, affecting performance. It's crucial to minimize latency for efficiency.
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