AWS AmazonElastiCache documentation change
Summary
Added documentation for Valkey 9.0 features including hash field expiration, full-text search, multi-database support, performance optimizations, polygon geospatial queries, and automatic TLS certificate-based authentication. Updated vector search link.
Security assessment
Explicitly adds documentation for 'automatic TLS certificate-based authentication' – a security feature enhancing transport encryption and authentication. No evidence of addressing existing vulnerabilities.
Diff
diff --git a/AmazonElastiCache/latest/dg/VersionManagement.md b/AmazonElastiCache/latest/dg/VersionManagement.md index 6bfed59f3..c9501bac9 100644 --- a//AmazonElastiCache/latest/dg/VersionManagement.md +++ b//AmazonElastiCache/latest/dg/VersionManagement.md @@ -70,0 +71,2 @@ Node-based ElastiCache clusters support ElastiCache version 7.2 for Valkey and a + * Valkey 9.0 + @@ -135,0 +138,23 @@ When upgrading a node-based Memcached cluster, consider the following. +### 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). + @@ -140 +165 @@ 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. @@ -214 +239 @@ Responsibilities with Extended Support -Major engine version behavior and compatibility differences with Valkey +Major version behavior and compatibility differences for Valkey