Accelerate Application Response Times with True Cache
summary
An in-memory SQL and object cache that automatically synchronizes with an Oracle database, removing app-side load/invalidation code and third-party caches. It caches JSON with attribute-level JSON refresh and uses ETAG versioning for concurrency; schema changes and multi-table consistency propagate automatically. Scales by partitioning—six nodes replace a ~200-node Redis cluster for a 10 TB cache over a 200 TB DB—and benchmarks report ~2x throughput with one node, ~2.6x with two, ~10x with a larger aggregate cache and a 300x latency reduction (600 ms → 2 ms).
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chapters (8)
- 0:00Introduction to True Cache
- 0:45Shortcomings of conventional
- 4:27True Cache features and benefits
- 6:37Using True Cache with JDBC
- 8:08Business use cases and benefits
- 9:31Customer feedback
- 11:14Performance benchmarking
- 14:33Key takeaways
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