Using Redis beyond caching
summary
Shows Redis used as a primary data layer not just a cache: Redis Streams and RedisSearch power real-time pipelines and full‑text indexing, CRDT‑based active‑active geo replication (Redis Enterprise Cloud) supports multi‑region writes. Alliance Data stores 200k publishing transactions/hour with three‑node clusters per DC, gains 4x throughput and uptime jumps from ~70% to 97%+. Gap records ~25k ops/s (reads <3 ms) and ~10k writes/s (<1 ms), reporting ~100x search speed and 40x write improvements in production.
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chapters (27)
- 0:00Introduction
- 0:32History of Redis
- 3:01About Alliance Data
- 5:00Why we needed Redis
- 10:03Why Redis Enterprise
- 14:22What are we doing next
- 17:21Gap fulfillment operations
- 19:12Gap business requirements
- 22:26Challenges
- 24:08Tradeoffs
- 25:52Collective metrics
- 28:45Why Redis
- 30:26Learnings
- 38:52Redis streams
- 40:07Ready Search
- 41:57Bloom
- 45:03Conflictfree data types
- 46:41Session management
- 48:23Compared to other solutions
- 49:27Active Active
- 50:04Tiered Memory
- 50:30Data is growing
- 50:53Tear data between DRAM and SSD
- 51:18Cost of replicated data
- 52:00Persistence memory
- 52:26Why use Redis
- 55:05Questions
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