For more details and upgrade instructions, see our documentation.

Key highlights

• Hash field expiration: You can now set TTLs (time-to-live) on individual fields within a single Hash key using commands like HEXPIRE and HTTL. This reduces memory overhead by allowing specific pieces of data to expire without needing to delete the entire key or split data across multiple keys.
• Major throughput boosts:
  • Zero-copy & prefetching: Up to 40% higher throughput for pipelined requests and 20% for large responses.
  • Multipath TCP: Reduces network latency by up to 25%.

Get started

You can now select version 9.0 when creating a new service or upgrade your existing service directly in the Aiven Console.

Other key improvements in this release include:

• Enhanced Valkey user management: ACL fields (valkey_acl_categories, valkey_acl_commands, valkey_acl_keys, valkey_acl_channels) can now be updated in-place without forcing resource recreation
• Improved Kafka topic handling: Better support for infinite retention with retention_bytes = -1
• OpenSearch 3.3 support: The latest OpenSearch version is now available

This release also includes various bug fixes for MySQL user password updates, service cloud name handling, and billing group configurations. For complete details on all fixes and updates, view the full Aiven Provider for Terraform changelog.

A major change in this version is the complete removal of the Redis kind and controller from the operator, as Redis has reached end of life. Use Valkey instead for all caching services.

Key enhancements in this release include:

• Enhanced backup capabilities: Both Kafka and PostgreSQL now support configurable automatic backups with new fields for backup intervals and retention periods
• Improved authentication: Kafka services now support Let's Encrypt certificate authorities for SASL authentication and SASL OAUTHBEARER with configurable allowed URLs
• MySQL migration improvements: Added experimental database dump tool configuration and replication options for enhanced migration workflows
• PostgreSQL high availability: New dedicated read-only DNS option that automatically falls back to primary when standby nodes are unavailable
• Performance optimizations: Valkey I/O threads maximum increased from 32 to 256, and various field limits expanded

For complete details on all changes and deprecations, check out the full Aiven Operator changelog.

The Valkey™ JSON module is now available for all Aiven for Valkey™ services. This module extends Valkey features with advanced JSON data handling capabilities.

Key features

• Native JSON storage: Store JSON documents as values directly in Valkey
• JSONPath queries: Query JSON documents using standard JSONPath syntax
• Atomic updates: Make atomic updates to JSON elements for consistency

Configuration

Enable the module on your existing services by applying a maintenance update.

Otherwise, no action is required from you:

• Enabled by default on all new services.
• No setup required; start using JSON commands immediately.
• Always available; cannot be turned off.

Getting started

• For existing services: Apply a maintenance update to enable and start using the module.
• For new services: Start using Valkey JSON commands right away.

Learn more

• For complete information on Valkey JSON commands and usage examples, visit the Valkey™ JSON documentation.
• For information on Aiven for Valkey, visit:
  • Aiven for Valkey™ modules reference
  • Aiven for Valkey™ documentation

Additionally, a new aiven_organization_user_group_member_list data source has been added. It lists all members of a specific user group, making group and permission management easier.

This release also includes regular updates to service configurations, integrations, and endpoints. For more details on fixes and updates, view the complete Aiven Provider for Terraform changelog.

Aiven for Valkey clustering automatically partitions your data across multiple nodes (shards), enabling you to handle larger datasets and higher traffic loads than a single-node deployment.

Key benefits:

• High availability: Automatic failover, minimal downtime, and replica promotion to maintain service continuity during unexpected failures or maintenance.
• Scalability & performance: Distribute read and write operations across multiple shards for significantly higher throughput, lower latency, and better load distribution.
• Compatibility: Fully compatible with existing Valkey cluster-aware client libraries for seamless integration with current applications.
• Flexible sizing: Supports various instance sizes, including smaller 4 GB RAM instances, allowing for better cost optimization.

Learn more in the Aiven for Valkey™ clustering documentation.

Performance improvements

• New hashtable implementation: Reduces the average memory needed for key-value pairs and the number of random memory accesses. It also improves throughput by approximately 10% on pipeline workloads when not using I/O threads.
• Iterator prefetching: Up to 3.5x faster when iterating over the key set by using prefetching techniques.
• Various command optimizations: Commands such as ZRANK, ZADD, PFMERGE, PFCOUNT, and BITCOUNT were optimized to execute faster.

Observability improvements

• Extending the slowlog to commandlog: The new COMMANDLOG feature gives you better visibility into end-to-end latency.
• Improved latency insights: The new LATENCY LATEST command reports on the latest collected latency events.

Other improvements

• Conditional updates: The introduction of conditional updates using the SET IFEQ semantics.

Upgrade to version 8.1 at your earliest convenience to ensure you use the most robust and secure version available.

See the Valkey 8.1 release notes for more details.

This particular vulnerability could allow an authenticated user to obtain remote code execution using a specially crafted Lua script.

This affects all Redis and Valkey versions that have Lua scripting support.

This issue is resolved in:

• Redis: 8.2.2+, 8.04+, 7.4.6+, 7.2.11+, 6.2.20+
• Valkey: 8.1.4+, 8.0.6+, 7.2.11+

On October 8th Valkey 8.0.6 was made available as mandatory maintenance on the Aiven platform. It is recommended that all Valkey customers run this maintenance as soon as possible.

For those customers running Redis (Aiven for Caching) on the Aiven platform, a patch to 7.2.11 will be released in the coming days. Note that Aiven for Caching is end-of-life on the Aiven platform and all running instances will be decommissioned starting on October 15th, 2025.

Highlights

• Performance improvements
  • Asynchronous I/O Threading: Enables parallel processing of commands and I/O operations, maximizing throughput and minimizing bottlenecks.
  • Intelligent Core Utilization: Distributes I/O tasks across multiple cores based on realtime usage, reducing idle time and improving energy efficiency.
  • Command Batching: Optimizes memory access patterns by prefetching frequently accessed data to minimize CPU cache misses, reducing memory accesses required for dictionary operations.
• Efficiency improvements
  • Reduction of the memory overhead of keys, allowing you to store more data without any application changes: Keys are now embedded in the main dictionary, eliminating separate key pointers and significantly reducing memory overhead. This results in a 9-10% reduction in overall memory usage for scenarios with 16-byte keys and 8 or 16-byte values, along with performance improvements.
  • Improved Pub/Sub Efficiency: Lightweight cluster messages streamline communication and reduce overhead for faster, more efficient Pub/Sub operations.
• Replication improvements
  • Reduced Memory Load: By streaming replication data to the replica during the full sync, the primary node experiences significantly less memory pressure. The replica now manages the Client Output Buffer (COB) tracking, reducing the likelihood of COB overruns and enabling larger COB sizes on the replica side.
  • Reduced Parent Process Load: A dedicated connection for RDB transfer frees the primary's parent process from handling this data, allowing it to focus on client queries and improving overall responsiveness.

See the release notes for more details.

• Aiven for AlloyDB Omni
• Aiven for Valkey ACL commands

For more information, see Aiven CLI release notes.

For more information on Aiven Provider for Terraform, check out the documentation.

• prefix_path_depth attribtue to kafka_user_config.kafka_connect_secret_providers.vault
• backup_hour and backup_minute to redis_user_config and valkey_user_config
• user configuration options for external_s3, external_clickhouse, and external_mysql integration endpoint types

This releae also increases the polling timeout for aiven_kafka_connector. For more details on other fixes and updates, view the complete Aiven Provider for Terraform changelog.

The aiven_project_user deprecation has also been removed in this release, meaning you can continue to use this resource.

For more details on fixes and updates, view the complete Aiven Provider for Terraform changelog.

Discover Aiven for Valkey, the latest addition to our managed service portfolio. Aiven for Valkey is an open-source, in-memory NoSQL database designed as a seamless and reliable alternative to Redis OSS. Key features include:

• Open source initiative: Valkey is a fork of OSS Redis®, version 7.2.5, maintained by the Linux Foundation. It is fully backward compatible with Redis and licensed under the BSD-3 license.
• Redis compatibility: Fully compatible with Redis OSS 7.2.4 and Aiven for Caching.
• High performance: Fast data retrieval with low latency.
• Managed service: Aiven handles maintenance, updates, and monitoring.
• Migration support: Supports data migration from external Redis® and Valkey databases.

For more information, see Aiven for Valkey documentation.