Data
PromptBeginner5 minmarkdownQuality: 22
- Understand the expected traffic patterns
data volumes
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data volumes
profiling data
contention points
data structure choices
read/write ratios
HyperLogLog
minutes for session data
random values) in keys that should be shared
>70% for warm data)
data growth
write-behind
scalable for distributed systems
strong consistency
simple but risk of stale reads
lower write latency
Memcached for simple key-value hot data
materialized views
cardinality
write-behind for write-heavy workloads
access patterns
eventual consistency patterns
write-behind
multi-layer caching architectures that maximize throughput while ensuring data consistency and optimal resource utilization.
process