Task Objective
Conduct storage capacity research to populate a dedicated section of the epic's research/design document with data storage impact estimates for implementing "Always On" capacity tracking.

Research Focus
Estimate the increase in data storage (and associated costs) required to transition from the current opt-in model to "Always On" (100% opt-in equivalent) for capacity-related data.

Technical Approach
• Analyze current org_config table (opted-in orgs) vs. total org population
• Correlate to capacity-related table volumes: events, hosts, host_tally_buckets, tally_snapshots, tally_measurements, etc.
• Assess data sources: Observatorium, Rhelemeter, HBI
• Estimate storage scaling requirements for always-on processing

Key Definition
"Always On" = Auto opt-in ALL orgs when SWATCH receives data (vs. current filtering by org_config)
Scope: tally & usage related tables only (not subscription or billing tables)

Deliverable
Create a "Storage Usage Impact" section of SWATCH-4367 epic document with:
• Current vs. projected data volume estimates (by table and data source)
• Database storage cost impact projections

Acceptance Criteria
• Document contains quantified storage impact estimates (current vs. always-on)
• Include database storage cost projections for increased data volume