Capacity planner for AI replication scenarios¶

Capacity planner for AI replication scenarios.

Module: replication.capacity

Quick Start¶

from replication.capacity import ResourceCeiling

instance = ResourceCeiling()

Hard resource limits for the hosting environment.

Method	Description
`has_cpu_limit()`
`has_memory_limit()`

Configuration for capacity projection.

Resource usage at a single time step.

Full projection result.

Method	Description
`summary()`	Human-readable summary of the projection.
`to_dict()`	Serialize to dict for JSON export.
`to_json()`	Export projection to JSON file.

Internal node tracking a simulated worker.

Project resource usage for replication scenarios.

Method	Description
`__init__()`
`project()`	Run the capacity projection simulation.

Function	Description
`quick_projection()`	One-call capacity projection with sensible defaults.
`compare_strategies()`	Run projections for all strategies and return a comparison dict.
`format_comparison()`	Format a strategy comparison as a readable table.
`main()`	CLI entry point for capacity planning.

python -m replication capacity --help