Cloud-Native Architecture
No servers. No VPN. No compromises.
Sirona was built cloud-native from day one. Unified infrastructure, 99.99% historical uptime, zero on-premise footprint — the foundation that makes AI-native radiology possible.
How Sirona is Different
Cloud-native from day one, not retrofitted
Sirona was built cloud-native from the start, not migrated from an on-premise monolith. Every line of code, every data layer, every deployment pipeline assumes a cloud-first architecture. Most PACS platforms started as on-premise software and grafted cloud features on top. Sirona uses true microservices architecture: independent, deployable services that scale elastically. Reporter scales separately from viewer scales separately from AI orchestration. Continuous deployment enables new features every week without system downtime.
What cloud-native unlocks
Cloud-native isn't a deployment choice. It's a paradigm that determines what the platform can do, how fast it can evolve, and what AI is possible on top of it.
Microservices Architecture
Independent, deployable services scale elastically. Reporter, viewer, worklist, and AI layer each scale on their own demand profile — zero coupling, zero coordinated outages.
RadOS
Continuous Deployment
New features ship weekly without maintenance windows. You get invisible upgrades instead of painful version migrations.
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Global CDN + Edge Streaming
Netflix-style adaptive bitrate streaming delivers diagnostic-quality performance from anywhere on earth — fiber, broadband, cellular, or Starlink.
Edge streaming
99.95% Uptime SLA
Multi-AZ AWS redundancy, automatic recovery, continuous resilience testing. 99.99% historical uptime against a 99.95% SLA — without maintenance windows.
Auto-scaling
Zero On-Prem Footprint
No PACS servers, no SAN arrays, no VPN tunnels, no DR appliances. Just a browser and internet. Starlink, cellular, and Apple Vision Pro supported.
Zero-footprint
Unified Data Model
All DICOM pixel data, all reports, all events share one data model — the prerequisite for agentic and multimodal AI.
Learn moreThe cloud-native paradigm, in practice
Operations
Zero infrastructure, zero IT overhead
No servers to buy, no storage to provision, no patches to deploy, no DR plan to run. Practices that move to Sirona have generally reduced IT overhead by more than 75%.
No servers, SAN, or DR appliances
No VPN, no patch cycles, no downtime windows
IT overhead cut >75% after migration
Enterprise cloud that scales globally
Global Reach
Diagnostic quality from anywhere on earth
Netflix-style edge streaming, global CDN, and Starlink/cellular/Apple Vision Pro compatibility mean you read the same way regardless of geography. Sirona performs best when it's most distributed — the opposite of legacy PACS.
Netflix-style adaptive bitrate streaming
Multi-AZ AWS today, multi-region by H1 2027
Starlink, cellular, Vision Pro supported
Same experience on every continent
AI Foundation
If it's not cloud-native, it isn't AI-native
Agentic and multimodal AI require a unified data model, a shared event stream, and elastic compute — exactly what cloud-native delivers and exactly what on-premise can't retrofit. Cloud-native is the architectural entry condition for the next decade of radiology AI.
Unified data model across images and text
Shared event stream for real-time agents
Elastic compute for foundation models
AI-native is a cloud-native consequence
Resilience
99.95% uptime SLA — without maintenance windows
Multi-AZ redundancy, automatic in-region recovery, and continuous deployment mean Sirona stays up through infrastructure outages and vendor incidents. Multi-region deployment (US-East, UK, Australia, South Africa) arrives in the first half of 2027. The platform is designed to withstand the failures legacy PACS plans for with downtime.
99.99% historical uptime, 99.95% SLA
Multi-AZ AWS redundancy today
Multi-region by H1 2027 (US-East, UK, AU, SA)
No planned maintenance windows
99.95%
uptime SLA — 99.99% historical
0
on-premise infrastructure required, anywhere
1
architecture, cloud-native from day one
What cloud-native looks like in practice
How cloud-native improves inter-practice collaboration
A fully managed path to integration
FAQs
What does 'cloud-native' actually mean here?
Where does the data live?
Can we read from home, Starlink, or a mobile device?
What happens during an AWS region outage?
Do we still need any on-prem footprint?
Is this HIPAA and SOC 2 compliant?