Optimize performance, ensure stability, and drive upwards of 60% cloud storage costs. Reyki AI's cloud storage optimization engine automatically and dynamically shrinks or expands block storage volumes in real time based on your application needs. Reduce paying for idle storage surplus while ensuring that surge in data requirements never constrain your application. AI augmented modeling learns your application data usage patterns to dynamically optimize storage volumes while providing stability and resiliency.
Reyki BSO Engine replicates a virtual disk with modular volumes. Create a virtual disk clone (VDC) that mirrors the native storage filesystem
The VD is composed of multiple modular volumes (MV) versus a monolithic architecture.
Automatic bin packing and defragmentation frees up unnecessary capacity Optimized bin-packing logic compacts data into smaller storage footprint
Frees up unnecessary modular volumes (MV), driving cost savings
Automatically scale up for new data growth with continuous optimization for cost efficiency. Automatically Scale Up: AI algorithm dynamically adds modular volumes (MV) as needed when new data is written to disk.
Optimize: Then repeats the auto bin packing to free up modular volumes (MV) for removal to target lowest disk operating costs without sacrificing performance.
