Container-first for new workloads.
Kubernetes (EKS, AKS, GKE) for stateful and complex workloads; serverless (Lambda, Functions, Cloud Run) for event-driven and low-frequency workloads. The choice per workload, not as a global default.
Cloud Architecture Services for Healthcare - A Working Reference Architecture, Not a Sales Deck
This page is structured as a working reference architecture document for healthcare cloud - the kind we'd present in your next architecture review. If the architecture is right, the engagement reasoning is obvious.
Identity is the first design surface in any healthcare cloud architecture because every subsequent layer depends on it. The reference architecture we defend:
This layer is where most healthcare cloud architecture audits surface their first material findings. We treat identity as architecture, not as IT hygiene.
Network architecture in healthcare cloud is shaped by segmentation requirements - PHI workloads, non-PHI workloads, third-party integrations, partner connectivity, and the OT-adjacent surfaces in HealthTech contexts.
Multi-account / multi-subscription / multi-project segmentation by default. Workloads with materially different PHI exposure live in separate cloud accounts with explicit, audited connectivity between them.
Hub-and-spoke or transit-gateway topology for shared services (egress, security inspection, on-prem connectivity). Single chokepoints make audit and compliance defensible.
Private connectivity for PHI flows: VPC endpoints (AWS PrivateLink), Private Endpoints (Azure), Private Service Connect (GCP). PHI traffic that doesn't traverse the public internet, by design.
Egress filtering and inspection for any environment with PHI. Workloads can't exfiltrate accidentally because the network forbids it.
Connectivity to legacy and on-prem through ExpressRoute, Direct Connect, Interconnect, or SD-WAN - designed deliberately, not accumulated.
The network architecture is the layer where the difference between "we put workloads in the cloud" and "we have a healthcare cloud architecture" is most visible.
Cloud providers' default storage behaviors are not HIPAA-aligned out of the box. The reference architecture corrects this at the design layer, not at audit time.
Object storage lifecycle, intelligent tiering, and cost-aware retention - designed to keep storage spend within FinOps thresholds while preserving compliance posture.
The workload layer is where the cloud-native architecture choices - containers, serverless, managed services, multi-cloud, hybrid - collide with healthcare's specific constraints.
Kubernetes (EKS, AKS, GKE) for stateful and complex workloads; serverless (Lambda, Functions, Cloud Run) for event-driven and low-frequency workloads. The choice per workload, not as a global default.
where the BAA and feature set support the workload. Reduced operational burden is real value when paired with explicit accountability for the managed-service control gaps.
(patient-facing portals, scheduling, telehealth). Active-passive with documented RTO/RPO for operational workloads. Single-region acceptable for back-office workloads where the trade-off is explicit.
EHR adjacencies, legacy clinical systems, and on-prem regulatory infrastructure connect to cloud through ExpressRoute / Direct Connect with the architecture designed deliberately, not absorbed.
Most healthcare organizations end up multi-cloud not by design but by accumulation; we redesign it deliberately.
This layer is what makes the architecture defensible in the conversations that matter - your internal compliance committee, your customer's procurement team, and the regulator.
A healthcare cloud architecture that runs reliably and predictably earns continued investment. A platform that doesn't, fails politically - even when the design was sound. The operations layer matters as much as the design.
metrics, traces, logs, security events. Centralized SIEM for security-sensitive signals.
Patient portal availability, scheduling availability, telehealth latency. SLO-driven on-call.
Severity classification, blameless postmortems, incident metrics tracked over time.
which run distinctively cost-sensitive at scale. Reserved-instance / savings-plan / committed-use discipline, idle resource reaping, intelligent tiering, multi-cloud cost comparability.
so the AI initiative, the EHR adjacency platform, and the patient portal each carry their own cost story.
The architecture review is a fixed-scope diagnostic that produces a written architecture assessment, a gap analysis against the reference architecture above, and a prioritized remediation roadmap.
Week 1 - Current-state assessment. We catalog your cloud estate - accounts, networks, workloads, PHI surface, compliance posture, operational maturity.
Week 2 - Gap analysis. We compare current state to the reference architecture layer by layer. Gaps are scored by HIPAA risk, operational risk, and cost.
Week 3 - Target architecture and roadmap. Layered remediation roadmap with engineering effort, sequencing, and the right partner mix (Logiciel, internal, alternative vendors) for each remediation.
Week 4 - Executive readout. Formal readout to your CIO, CISO, or VP Cloud Architecture with the artifact your leadership team can use to fund the remediation work.
The diagnostic engagement above. Most common starting point.
Logiciel architects design and lead the implementation of the target architecture alongside your cloud engineering organization.
A senior Logiciel cloud architect serves as your fractional architecture leader, typically 8–16 hours per week, for multi-year programs.
The math doesn't work. AI reliability is a platform problem with a real engineering specialization behind it - not a side project a feature engineer absorbs.
Cloud architecture services in healthcare cover the design, assessment, and implementation of cloud platforms that support clinical, operational, financial, and AI workloads under HIPAA, HITRUST, SOC 2, and applicable state regulations. The work spans identity and IAM design, network segmentation, data and storage architecture, workload architecture (containers, serverless, managed services), security and compliance posture, and the operations layer that keeps the architecture defensible over time.
The right answer is workload-specific and shaped by three factors: regulatory and vendor-risk requirements (do you need to demonstrate cloud-vendor neutrality to regulators or enterprise customers), legacy integration depth (how much on-prem clinical infrastructure has to coexist with cloud workloads), and workload economics (do specific workloads run materially better on a specific cloud). Most US healthcare organizations end up hybrid + multi-cloud not by design but by accumulation; the architecture review redesigns deliberately.
PHI handling is designed at every layer - identity (access logging, JIT elevation), network (private connectivity, segmentation), data (customer-managed encryption keys, residency, retention), workload (BAA-eligible services only, accountability for control gaps in managed services), and security (HIPAA-aligned posture, evidence collection automated). PHI is treated as a first-class architectural attribute, not as a compliance retrofit.
AWS, Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure (where workloads benefit), and on-prem / private cloud environments where required. Logiciel's healthcare cloud practice is vendor-neutral - we design against the right architecture and recommend a provider mix based on workload requirements, existing investments, and BAA posture.
The 4-week architecture review produces a prioritized roadmap with effort estimates. Remediation programs typically run 6–18 months for material architectural gaps and ongoing for incremental improvement. The pace is determined by organizational change capacity and the cloud estate scale, not by Logiciel's capacity.
The 4-week architecture review is a fixed-price engagement. Architecture Design & Implementation Lead engagements run on a multi-quarter engagement model scaled to scope. Fractional Chief Cloud Architect engagements run on quarterly retainer. The review produces specific numbers for your context.
Yes - that's the design. Most engagements partner with an existing cloud engineering organization. We design for collaboration, knowledge transfer, and ongoing internal operation. Several long-term healthcare engagements have evolved into a smaller partnership footprint as the internal team grew into the architectural maturity the engagement produced.
The architecture review is the smallest credible engagement that produces a defensible target architecture and a prioritized remediation roadmap. Most healthcare cloud leaders use the artifact to align the executive team and the security/compliance function on a multi-quarter remediation program.