5769c1cd22
- Auto-Registration-Bug behoben (register_project/get_project_id/resolve_project Trennung) - 25 Tests gruen (Pytest) - block_compactor-Tool refactored (Option B: Soft-Check statt Hard-Block) - 4 Restbaustellen gefixt - DB-Schema: plugin_settings-Tabelle hinzugefuegt - 3 Schattenprojekte aus DB geloescht - Plan v3 + Refactor-Plan + Worklog dokumentiert
671 B
671 B
22_resource_sizing.md
Resource Sizing
Ressourcen
Runtime RAM
Runtime CPU
Build RAM
Disk
DB Size
Uploads
Indexes
Worker Load
Network
Heavy Signals
DB+Redis+Worker+Search
Vector DB
LLM/AI
Media/PDF/Office Processing
Analytics/Event DB
große Uploads
Dann Compose-first, Sizing und Backup prüfen.
Build-Risiko
Große Node/Java/Rust Builds können RAM sprengen. Strategien:
CI Image-first
Dockerfile optimieren
Build Cache
größerer Server
Output
resource_estimate:
ram:
cpu:
disk:
build_risk:
runtime_risk:
scaling_notes:
Stop bei AI/Search/Vector/Media/Office/Analytics ohne Sizing.