From performance to economics
A different capacity tier. A different cost equation.
Measured near-memory performance on NVMe makes a lower-cost capacity tier worth evaluating. The saving can be calculated from explicit assumptions.
What does a 20:1 capacity-price ratio mean?
If DRAM costs 20 times as much per GiB as SSD, placing the same value payload on SSD costs one twentieth as much for that storage component: 95% less. This is arithmetic under a stated price assumption, not a hardware quotation or a measured whole-deployment saving.
Lavik still needs memory for indexes and runtime state. CPU, replicas, usable capacity, and operations also enter a complete comparison. The model below shows how those factors affect the overall ratio.
Adjustable assumptions
Defaults illustrate the formula; they are not hardware quotes or measured memory usage. Assumes equal replica counts, no compression, and storage amplification of 1.
84.5% lower modeled Lavik cost
Lavik = shared + index × DRAM + payload × SSD
This model does not predict latency, durability, or availability. Performance requirements may change the required server count and configuration.
An instance-price comparison already in the reports
The estimates supplied on August 12, 2026 were $2,414.28/month for Azure Managed Redis Flex (480 GB / 16 vCPU) and $1,152.67/month for the Lavik Standard_L16s_v3 server. That is a 2.09× price ratio, or approximately 52.3% lower Lavik instance cost. This is not an equal-SLA total-cost test against in-memory Redis: the managed service and self-managed VM have different service boundaries, datasets, and test windows.
Inspect the original estimates and configuration ↗