AWS AmazonElastiCache documentation change
Summary
Added documentation for Valkey 9.0 support including new features: full-text/hybrid search, hash field expiration, multi-database support, pipeline throughput improvements, polygon geospatial queries, and over 100 enhancements. Updated vector search link.
Security assessment
The change documents new Valkey 9.0 features but contains no evidence of addressing existing security vulnerabilities. It adds documentation for 'automatic TLS certificate-based authentication' (a security feature) under enhancements.
Diff
diff --git a/AmazonElastiCache/latest/dg/engine-versions.md b/AmazonElastiCache/latest/dg/engine-versions.md index 3c33871fd..f3168eb81 100644 --- a//AmazonElastiCache/latest/dg/engine-versions.md +++ b//AmazonElastiCache/latest/dg/engine-versions.md @@ -7 +7 @@ -Valkey 8.2Valkey 8.1Valkey 8.0ElastiCache version 7.2.6 for ValkeySupported Redis OSS versionsRedis OSS versions end of life scheduleSupported Memcached versions +Valkey 9.0Valkey 8.2Valkey 8.1Valkey 8.0ElastiCache version 7.2.6 for ValkeySupported Redis OSS versionsRedis OSS versions end of life scheduleSupported Memcached versions @@ -12,0 +13,23 @@ This section covers the supported Valkey, Memcached, and Redis OSS engines and h +## ElastiCache version 9.0 for Valkey + +Here are some of the new features introduced in Valkey 9.0 (compared to ElastiCache Valkey 8.2): + + * **Full-text search, aggregations, and hybrid search** – ElastiCache version 9.0 for Valkey extends the search capabilities introduced in Valkey 8.2 with full-text search, aggregation pipelines, and hybrid queries that combine text and vector results. Build powerful search experiences directly in your cache without managing a separate search engine. These capabilities are based on the open-source [valkey-search](https://github.com/valkey-io/valkey-search) project. + + * **Hash field expiration** – Set TTLs on individual fields within a hash, giving you fine-grained control over data lifecycle without managing separate keys. Expire stale fields automatically while keeping the rest of the hash intact. ([#2089](https://github.com/valkey-io/valkey/pull/2089)) + + * **Multi-database support in cluster mode** – Use numbered databases (`SELECT 0`–`15`) in cluster-mode-enabled configurations, removing a long-standing limitation and simplifying migrations from standalone deployments to horizontally scaled clusters. ([#1671](https://github.com/valkey-io/valkey/pull/1671)) + + * **Up to 40% higher throughput with pipelining** – Optimized command parsing and prefetching across pipelined requests delivers significantly higher throughput for batch-heavy workloads, so you can process more operations per second without adding nodes. ([#2092](https://github.com/valkey-io/valkey/pull/2092)) + + * **Polygon-based geospatial queries** – The new `BYPOLYGON` option for `GEOSEARCH` and `GEOSEARCHSTORE` lets you query members inside arbitrary polygon boundaries, enabling real-world geofencing use cases like delivery zones, service areas, and regional targeting. ([#1809](https://github.com/valkey-io/valkey/pull/1809)) + + * Over 100 additional enhancements across the 9.0.0 through 9.0.3 releases, including 13 new features, 16 performance optimizations with SIMD acceleration, support for [DELIFEQ](https://valkey.io/commands/delifeq/), expanded observability with per-node and per-slot metrics, MPTCP networking support, and automatic TLS certificate-based authentication. For the complete list, see [Valkey 9.0 Release Notes](https://github.com/valkey-io/valkey/releases/tag/9.0.0). + + + + +For more information on Valkey, see [Valkey](https://valkey.io/). + +For more information on the Valkey 9.0 release, see [Valkey 9.0 Release Notes](https://github.com/valkey-io/valkey/blob/9.0/00-RELEASENOTES). + @@ -17 +40 @@ Here are some of the new features introduced in Valkey 8.2 (compared to ElastiCa - * ElastiCache for Valkey v8.2 provides native support for [vector search](./vector-search.html), delivering latency as low as microseconds-the lowest latency vector search with the highest throughput and best price-performance at 95%+ recall rate among popular vector databases on AWS. + * ElastiCache for Valkey v8.2 provides native support for [vector search](./search.html), delivering latency as low as microseconds-the lowest latency vector search with the highest throughput and best price-performance at 95%+ recall rate among popular vector databases on AWS.