Healthcare IT Hub
Infrastructure
Practical guides for healthcare IT infrastructure: server sizing, storage capacity planning, backup and DR, networking, and cloud architecture.
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VM Sizing
Virtual machine sizing and performance
Browse contentStorage
Storage architecture and capacity planning
Browse contentBackup & DR
Backup strategies and disaster recovery
Browse contentNetworking
Healthcare network design and segmentation
Browse contentCloud Architecture
Cloud and hybrid cloud deployments
Browse contentMonitoring
System monitoring and alerting
Browse contentLatest in Infrastructure
Monitoring Clinical Systems: The Alerts That Matter and the Ones That Wake You for Nothing
What to monitor across PACS, RIS, LIS, and HL7 interfaces — the metrics that predict clinical impact, how to build synthetic transactions, and how to design alert thresholds that survive on-call without causing fatigue.
Moving Clinical Systems to the Cloud: Architecture Patterns That Actually Work
A practitioner's view of cloud and hybrid architecture for PACS, VNA, and clinical systems — which workloads move well, egress and latency economics, the hybrid patterns that work, and what to check before signing.
Hospital Network Design for Imaging Traffic: VLANs, Bandwidth, and QoS
How to design hospital network segments that carry DICOM and HL7 traffic reliably — segmentation patterns, bandwidth sizing from real study volumes, QoS policy, and the network faults that present as PACS problems.
Backup and Disaster Recovery for Clinical Systems: RPO and RTO That Survive Contact With Reality
How to define RPO and RTO for PACS, RIS, LIS, and interface engines, design a backup architecture that survives ransomware, and test recovery in a way that proves the plan works rather than assuming it.
Healthcare Storage Tiering: Hot, Warm, Cold and Archive for Clinical Systems
How to design a tiered storage architecture for PACS, VNA, and clinical databases — what belongs on each tier, how to set the migration windows, and the tiering mistakes that make routine reads feel slow.