Exponential Growth Without Sacrificing Platform Speed
summary
Metadata moves from a traditional SQL/Cosmos setup to Aerospike plus an Azure Elasticsearch index, swapping heavy sharded queries for key‑value lookups and interval full‑text indexing. Implementation uses Spring Data on Java and a Python ETL, running on three-node clusters with about 500 GB of data. Results are concrete: 5x faster audience generation (hours down to seconds/minutes), bursty high read throughput handled without extra hardware, and about 99.99% uptime reported.
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chapters (8)
- 0:00Start
- 8:20Solution Aerospike database clusters
- 10:04Implementation & Architecture
- 13:02Configuration
- 15:08Performance
- 15:44Integration - Making the Switch
- 17:13Future Approach
- 18:38Higher Speed, Greater Load, More Reliable
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