caching strategy(Cache Aside, Write Through, Write Behind etc.) optional and Redis/Memcached for, TTL , cache invalid-ize pattern guide. 'caching strategy', 'Redis', 'cache invalid-ize', 'TTL', 'Cache Aside', 'Write Through', 'CDN caching', 'cache ' etc. caching this for. optimization-engineerof caching -ize. , before performance profilingthis benchmark this of scope .
-based caching strategy optionaland and-basedas lower methodology.
: App → Cache confirmation → → DB query → Cache →
: App → DB → Cache invalid-ize(deletion)
| for-based | request upper |
| cache DB | -modification- cases |
| necessary dataonly cache | data day also |
: App → Cache → DB (synchronous)
: App → Cache confirmation → upper
| - consistency |
| latency |
| cache upper | forlower dataalso cache |
: App → Cache → asynchronous as DB
: App → Cache confirmation → upper
| performance -ize | cache data |
| DB lower -ize | complex |
| requiredmatter | Cache Aside | Write Through | Write Behind |
|---|---|---|---|
| ★★★ | ★★ | ★★ | |
| ★ | ★ | ★★★ | |
| consistency important | ★★ | ★★★ | ★ |
| performance important | ★★ | ★ | ★★★ |
| simple | ★★★ | ★★ | ★ |
| data impossible | ★★★ | ★★★ | ★ |
# TTL configuration guide
CACHE_TTL = {
"user_profile": 300, # 5minutes — week change
"product_list": 60, # 1minutes — between change frequency
"stock_count": 10, # 10seconds — week change
"config": 3600, # 1between — of change
"session": 86400, # 24between — session countpeople
}
# Jitter addition (cache )
import random
ttl = base_ttl + random.randint(0, base_ttl // 10)
# event invalid-ize
@event_handler("user.updated")
def invalidate_user_cache(event):
cache.delete(f"user:{event.user_id}")
cache.delete(f"user_profile:{event.user_id}")
# related cachealso invalid-ize
cache.delete("user_list:page:*")
# before keyas in invalid-ize
version = cache.get("product_version") or 1
key = f"product_list:v{version}"
# invalid-ize: beforeonly
cache.incr("product_version")
: cache only requestthis DBin