sciCloud: Purpose-Built Cloud Infrastructure for Scientific Workloads
Isolated tenant architecture, predictive auto-scaling, and managed disaster recovery engineered for the performance and compliance demands of research-intensive organizations.
99.99%
Uptime SLA
<15 min
Recovery Point Objective
24/7
Infrastructure Monitoring
50 GB
Max Single-File Upload
Infrastructure That Understands Scientific Workloads
Generic cloud platforms force labs to adapt their workflows to infrastructure limitations. sciCloud inverts that model. Every layer of the stack is engineered for the specific demands of scientific data: large binary files, burst-heavy analysis pipelines, strict chain-of-custody requirements, and long-term retention obligations.
Predictive Auto-Scaling
sciCloud monitors workload patterns and automatically provisions additional compute and memory before demand spikes hit. When your sequencing pipeline kicks off a batch analysis at 2 AM, resources scale up within seconds rather than queuing jobs behind resource contention. Scale-down is equally automatic, so you never pay for idle capacity.
Zero-Touch Provisioning
New environments deploy in minutes through LabLynx-managed infrastructure-as-code. Need a staging instance for validation workflows or a dedicated compute tier for high-throughput screening? The LabLynx team provisions it with the exact CPU, memory, and storage profile your workload demands. No tickets, no waiting for IT.
Real-Time Infrastructure Monitoring
Every sciCloud instance is continuously monitored for CPU utilization, memory pressure, disk I/O throughput, network latency, and application-level health. Anomaly detection triggers alerts before performance degrades. The LabLynx operations team responds to infrastructure events 24/7, so your researchers never troubleshoot server issues.
Automated Disaster Recovery
sciCloud maintains point-in-time snapshots with configurable retention windows and cross-region replication. If a primary instance fails, automated failover brings your environment back online with an RPO under 15 minutes and an RTO under one hour. Full disaster recovery runbooks are tested quarterly and available for audit.
Isolated Tenant Architecture
Most cloud platforms run multiple customers on shared infrastructure and rely on software-level isolation. sciCloud takes a fundamentally different approach: every organization gets dedicated instances with hardware-level separation.
Dedicated Compute Instances
Every sciCloud customer runs on isolated compute instances with dedicated vCPUs and memory allocations. There is no multi-tenant resource sharing, no noisy-neighbor risk, and no contention during peak analysis windows. Your workloads get predictable, consistent performance every time they run.
Isolated Data Stores
Your databases, object storage, and file systems are provisioned in dedicated, encrypted partitions. Data never co-mingles with other organizations at the storage layer. Each tenant gets its own encryption keys managed through a hardware security module, ensuring cryptographic isolation even at the infrastructure level.
Network-Level Segmentation
sciCloud deploys each tenant in a dedicated virtual private network with strict ingress and egress controls. Inter-tenant traffic is architecturally impossible. VPN tunnels and private endpoints connect your on-premises instruments and LIMS directly to your sciCloud instance without traversing the public internet.
Tenant-Specific IAM Policies
Access controls are scoped to your organization with role-based policies enforced at the infrastructure layer. Your administrators define who can access what, and those policies are enforced independently of every other customer. Audit logs capture every authentication event and privilege change for compliance reporting.
Global Region Selection for Data Sovereignty
Regulatory requirements increasingly dictate where scientific data can be stored and processed. sciCloud gives you infrastructure-level control over data residency, not just application-level settings.
Choose Your Deployment Region
sciCloud is available in data center regions across North America, Europe, and Asia-Pacific. You select the region where your data resides, and it stays there. No cross-border data transfers unless you explicitly configure them. This is not a preference setting; it is an infrastructure-level guarantee backed by physical data residency.
Regulatory Alignment Built In
European labs select EU regions to maintain GDPR compliance without additional data processing agreements for cross-border transfers. US federal labs can deploy in FedRAMP-aligned regions. Pharma and biotech organizations working under FDA 21 CFR Part 11 get audit-ready infrastructure with validated controls for electronic records and signatures.
Multi-Region Replication Options
For organizations that need geographic redundancy without sacrificing sovereignty, sciCloud supports selective multi-region replication. Replicate encrypted backups to a secondary region for disaster recovery while keeping all active data processing in your primary jurisdiction. You control what replicates and where.
Optimized for Large Scientific Datasets
Scientific data is not like business data. Instrument files routinely exceed hundreds of megabytes. Imaging datasets run into terabytes. sciCloud is architected specifically for these workloads with tiered storage, dedicated upload endpoints, and science-tuned compute profiles.
NVMe-Backed Hot Storage
Sub-ms read latency for active experiment data
Automatic Storage Tiering
Hot, warm, and cold tiers managed transparently
Science-Tuned Compute
High-memory instance profiles up to 256 GB RAM
Chunked Ingestion
Reliable uploads up to 50 GB per file
Burst Compute Pools
On-demand scaling for batch analysis jobs
I/O Performance Monitoring
Per-workload throughput metrics and alerts
Managed Backup and Recovery
Scientific data is irreplaceable. A corrupted database, a failed disk, or an accidental deletion can erase months of research. sciCloud treats backup and recovery as a first-class infrastructure concern, not an afterthought.
Continuous Incremental Backups
sciCloud captures incremental snapshots of your databases, file stores, and application state every 15 minutes. Snapshots are immutable and versioned, so you can restore to any point in time within your retention window. Default retention is 90 days, with extended retention available for regulated environments.
Cross-Region Backup Replication
Backup snapshots are automatically replicated to a geographically separate region within your data sovereignty boundary. If your primary region experiences a catastrophic event, your data exists in a second location with the same encryption and access controls.
Tested Recovery Procedures
Backups are only useful if recovery actually works. LabLynx runs automated restore tests against backup snapshots every week and executes full disaster recovery drills quarterly. Recovery time and data integrity are validated and documented.
Frequently Asked Questions
Common questions about sciCloud infrastructure, compliance, and migration.
How does sciCloud differ from generic cloud providers like AWS or Azure?
sciCloud is purpose-built for scientific workloads. Unlike generic cloud platforms, every layer of the stack, from compute scheduling to storage tiering to network topology, is engineered for the specific demands of scientific data: large binary files, burst-heavy analysis pipelines, strict chain-of-custody requirements, and long-term retention obligations. Additionally, LabLynx manages the entire infrastructure lifecycle so your researchers never interact with cloud consoles or DevOps tooling.
Is sciCloud compliant with FDA 21 CFR Part 11 and GDPR?
Yes. sciCloud infrastructure is designed to meet the requirements of FDA 21 CFR Part 11 for electronic records and signatures, EU GDPR for data residency and processing controls, and other regulatory frameworks. Region-level data sovereignty ensures your data stays within the jurisdiction you select. Audit trails, access controls, and validated backup procedures are built into the platform.
What happens if my primary data center region experiences an outage?
sciCloud maintains cross-region backup replication within your data sovereignty boundary. Automated failover brings your environment back online with a Recovery Point Objective (RPO) under 15 minutes and a Recovery Time Objective (RTO) under one hour. LabLynx runs full disaster recovery drills quarterly and documents recovery validation for audit purposes.
Can I migrate from an on-premises ELN to sciCloud?
Absolutely. LabLynx provides a managed migration service that handles data export from your existing on-premises environment, validation of data integrity during transfer, and provisioning of your dedicated sciCloud instance. The migration process includes SHA-256 checksum verification at every stage to ensure your data is bit-perfect from source to destination.
How does sciCloud handle large instrument files?
sciCloud provides dedicated upload endpoints with chunked transfer support for files up to 50 GB. Automatic integrity verification using SHA-256 checksums validates data at every stage. Storage is tiered automatically based on access patterns: hot data lives on NVMe-backed storage for sub-millisecond read latency, while aging data migrates to cost-optimized cold tiers without breaking file references.
What level of support is included with sciCloud?
Every sciCloud deployment includes 24/7 infrastructure monitoring and incident response from the LabLynx operations team. This covers CPU utilization, memory pressure, disk I/O, network latency, and application-level health. Anomaly detection triggers alerts before performance degrades, and the operations team responds to infrastructure events around the clock so your researchers never troubleshoot server issues.
Infrastructure engineered for science, managed for you
sciCloud delivers the isolated, auto-scaling cloud infrastructure your lab needs without the operational burden of managing it yourself.