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Case Study · Life Sciences · Hybrid Cloud
Secure Lab Data Workflow
for a Research Environment
A hybrid cloud storage and identity architecture built for a regulated life sciences team — connecting on-premises labs and remote researchers to the same secure data layer, under a single identity model, with full audit capability.
The Challenge
What the Client Was Dealing With
A life sciences research team had data living in silos, no consistent identity layer across locations, and no clean separation between active research data and validated production results. On-site lab staff and remote researchers were working in disconnected environments — different access paths, different controls, no audit trail. The team needed a solution that would hold up under compliance scrutiny without requiring them to manage it like a full-time job.
Environment TypeHybrid CloudOn-prem + AWS
User Populations2 Access PathsLab-local + remote
Data Environments3 Isolated TiersDev · Prod · Shared
Compliance PostureAudit-ReadyFull trail, versioned
Identity ModelFederated SSOMFA enforced
What Was Built
Six Problems, Six Solutions
Unified Identity
Single identity layer across on-prem and cloud — one login, one policy model, consistent enforcement everywhere.
Two Access Paths, One Policy
Lab staff and remote researchers access the same resources through different network paths — same rules apply to both.
Familiar File Interface
Researchers interact with file shares the way they always have — no workflow change, no retraining required.
Environment Isolation
Development, production, and shared data live in separate, permission-enforced tiers. Production is structurally protected from writes.
Complete Audit Trail
Every file access, every API call, every change is logged. Compliance reviews become straightforward — not a scramble.
Tiered Cost Architecture
Hot data stays fast and accessible. Older data moves to long-term storage automatically — no manual intervention, no orphaned spend.
Architecture Overview
How the Layers Connect
The architecture moves from identity at the top through secure network access, into centralized cloud storage, down to data protection and lifecycle. Each layer has a specific job — and fails safely if something goes wrong above it.
System Architecture — Conceptual OverviewIMPLEMENTATION DETAILS ON REQUEST
Identity & Authentication LayerSSO · MFA · RBAC
Network Access — On-Prem & RemoteEncrypted tunnels
Cloud File GatewayProtocol + cache layer
Environment-Segregated Object Storage3 isolated tiers
Data Protection, Lifecycle & AuditEncrypted · Versioned · Logged
Design Philosophy
What Separates This From a Basic Setup
Identity First, Not Last
Most setups bolt identity on after the fact. This one was designed identity-outward — access policy is the foundation everything else is built on. No resource is reachable without verified identity.
Fail-Safe by Design
Production data is structurally read-only — not by a policy someone can accidentally change, but by architectural enforcement. Mistakes stop at the boundary.
Transparent to End Users
Researchers see a file share. They don’t know — or need to know — what’s underneath. Zero workflow change means zero adoption friction.
Built for the Next Engineer
Full documentation, clear topology, SOPs for every operational task. This environment won’t collapse when someone leaves — because it was never dependent on institutional memory.
Have a similar environment?
If your team is dealing with fragmented access, inconsistent identity, or data that isn’t audit-ready — this is a solvable problem. Let’s talk about what that looks like for your setup.
↗ Start a ConversationNo pitch. No deck. Just a direct conversation about your environment.
Hybrid Cloud DesignIdentity & SSOAWS Storage ArchitectureCompliance AlignmentLife SciencesHPC Environments