Skip to content

Reduce tuning memory used #456

@ericbuckley

Description

@ericbuckley

Summary

During a standard run (default tuning params) with a database of 500k person clusters and around 2 million patient records, the system uses up to 1.25GB of RAM. We should explore ways to reduce this footprint so that NBS can run this feature in lower environments with less resources.

Background / Context

uvicorn_tuning_memory_usage.png

Metadata

Metadata

Assignees

Labels

qaTechnical improvements to increase code quality

Type

No type
No fields configured for issues without a type.

Projects

No projects

Milestone

No milestone

Relationships

None yet

Development

No branches or pull requests

Issue actions