Release Notes

AI-3.4-9.0.0

We are excited to announce the release of Alluxio AI 3.4! This version introduces several new features designed to enhance performance, improve resource management, and optimize data caching strategies.

New Features

Directory-Based Quota Management Updates

The previous release first introduced Directory-Based Quota Management, enabling users to set resource limits at the directory level. This feature allowed administrators to enforce quotas on specific directories, but was previously restricted to only setting quotas on the top level directories directly under the filesystem root. The feature is now updated to allow quota settings on any directory as well as nested quota definitions. See more information in the Directory-Based Quota documentation.

Directory-Based TTL Cache Evicting

The new Directory-Based TTL Cache Evicting feature enables users to apply time-to-live (TTL) policies for cache entries based on specific directories. This functionality allows for more granular control over caching, ensuring that data in less frequently accessed directories can be automatically evicted after a designated time period. This feature helps maintain a fresh and relevant cache, optimizing memory usage while prioritizing the retention of important data. For more details, refer to the Directory-Based TTL Cache Evicting documentation.

Priority-Based Cache Evicting

The Priority-Based Cache Evicting feature enhances the cache management capabilities in Alluxio AI 3.4 by assigning a priority level to specific directories. This feature ensures that the more critical data remains in the cache while the less important data can be evicted when memory is needed. This manual demarcation of cached data helps maintain optimal performance for high-priority workloads. Learn more about this feature in the Priority-Based Cache Evicting documentation.

Conclusion

Alluxio AI 3.4 brings powerful new features to enhance data management and caching strategies. We encourage users to explore these enhancements to improve their data workflows.

Thank you for your continued support!