Deployment model
Cloud (SaaS)
Vollständig verwaltetes Deployment auf unserer sicheren Cloud-Infrastruktur. Schnellste Time-to-Value mit automatischen Updates und Skalierung.
Deployment
Deployment-Leitfaden
Wählen Sie das Deployment-Modell, das zu Ihren Sicherheitsanforderungen und Infrastrukturbedürfnissen passt.
Deployment lanes
Keep the operator surface consistent while you decide where compute, storage, and identity boundaries belong.
Supported deployment lanes
4 models
Core data plane
Postgres + Neo4j
Object storage compatibility
R2 / S3
Identity integration posture
SSO-ready
Architecture brief
Choose the boundary that matches your residency, accreditation, and operating model
Deployment planning should clarify where the data sits, who operates the environment, and how observability, storage, and identity controls are partitioned before implementation starts.
Deployment model
On-Premise
Deployen Sie Public Safety in Ihrem eigenen Rechenzentrum für vollständige Kontrolle über Datenresidenz und Netzwerksicherheit.
Deployment model
Hybrid
Kombinieren Sie Cloud- und On-Premise-Deployments. Behalten Sie sensible Daten on-premise, während Sie Cloud für rechenintensive KI-Workloads nutzen.
Deployment model
Regierungs-Cloud
BSI C5 zertifiziertes Deployment auf regierungsgeprüfter Cloud-Infrastruktur mit erweiterten Sicherheitskontrollen.
Operator surface
The analyst-facing workflow stays consistent while the underlying residency and hosting model changes.
Systemarchitektur
Core stack
Public Safety verwendet eine moderne, cloud-native Architektur, die für Skalierbarkeit und Zuverlässigkeit konzipiert ist.
Web Frontend
Next.js / Cloudflare Workers
API Gateway
REST, GraphQL, and event services
KI-Services
Model routing and governed processing
Objektspeicher
Object storage with evidence retention controls
Capacity planning
Systemanforderungen
Infrastructure sizing should reflect operator concurrency, ingestion load, evidence retention, and the models you expect to run in the environment.
Baseline
Minimum (Kleine Deployments)
Use this lane for pilots, low-volume teams, or controlled proof-of-value environments.
- 8 CPU cores
- 32 GB RAM
- 500 GB SSD storage
- 1 Gbps network
Operational target
Empfohlen (Enterprise)
Plan for this lane when multiple teams, heavier ingestion, or sustained analytics workloads are expected.
- 32 CPU cores
- 128 GB RAM
- 2 TB NVMe storage
- 10 Gbps network
Planning notes
What usually changes the size
The main drivers are document volume, evidence retention, graph depth, alerting frequency, and how much AI processing stays inside the boundary.
Telemetry
Deployment planning should include the telemetry needed to watch usage, queue depth, and operational load after go-live.
Bereit für Deployment?
Kontaktieren Sie unser Team, um Ihre Deployment-Anforderungen zu besprechen und loszulegen.