Healthcare Multi Cloud Operations

Managed multi-cloud operations for healthcare organisations — unified clinical workload management, HIPAA-compliant operations, and 24/7 support across AWS, Azure, and GCP healthcare environments.

Why Businesses Need This Service

Large health systems often operate across multiple cloud providers for legitimate clinical reasons: Epic prefers Azure, GCP's Healthcare APIs power clinical analytics, and AWS HealthLake handles data lake workloads. Managing these environments separately creates compliance blind spots, operational complexity, and cost inefficiency. Healthcare multi-cloud operations provides a single managed layer that enforces consistent HIPAA compliance, SLA management, and incident response across every cloud provider in your clinical environment.

Key Capabilities

Comprehensive capabilities to address your cloud needs

Unified HIPAA-compliant operations across AWS, Azure, and GCP healthcare environments

24/7 clinical workload monitoring with healthcare-specific SLA management

Multi-cloud incident response with healthcare escalation procedures for PHI events

Cross-cloud PHI access governance and unified audit logging

Cloud-agnostic cost optimisation for health systems with mixed cloud estates

HL7 and FHIR integration monitoring across multi-cloud clinical data flows

Disaster recovery management across primary and secondary cloud providers

Healthcare change management with clinical downtime window coordination

Technologies & Platforms

Industry-leading tools and platforms we use to deliver exceptional results

Technologies

DatadogGrafanaOpenTelemetryPagerDutyTerraformAWS CloudTrailAzure MonitorGoogle Cloud Logging

Platforms

AWSMicrosoft AzureGoogle CloudAWS GovCloudAzure GovernmentGCP Healthcare API

Business Outcomes

Measurable results that drive business value

Single pane of glass for all clinical cloud environments — no provider-specific tool sprawl

99.9%+ uptime maintained across clinical workloads with multi-cloud redundancy

HIPAA compliance enforced uniformly across all cloud providers

Multi-cloud operational overhead reduced by 50% vs managing each provider separately

Clinical IT team freed from reactive operations to focus on digital health initiatives

Common Use Cases

Real-world scenarios where this cloud service delivers value

Health systems using Epic on Azure alongside AWS analytics workloads

Digital health companies with primary AWS and GCP healthcare API environments

Hospital networks requiring high-availability clinical operations across multiple regions and clouds

Health insurance companies with regulatory-driven multi-cloud data residency requirements

Healthcare data platforms aggregating PHI from multiple provider cloud environments

Telehealth companies with AWS primary and Azure failover architectures

Typical Architecture

Key components and layers in a typical cloud architecture

Unified Monitoring Layer

Cross-Cloud Incident Manager

Multi-Cloud Compliance Dashboard

HL7/FHIR Flow Monitor

DR Orchestration Engine

Healthcare Change Control

Our Implementation Process

A systematic approach that ensures timely delivery and exceeds expectations

Step 1

Multi-Cloud Environment Discovery

Map all cloud environments, clinical workloads, PHI data flows, and existing monitoring gaps across every cloud provider in the health system.

Step 2

Unified Observability Deployment

Deploy OpenTelemetry instrumentation and Datadog across all cloud environments. Establish healthcare-specific dashboards, SLO monitoring, and clinical workload alerting.

Step 3

HIPAA Compliance Unification

Extend compliance monitoring and PHI access controls uniformly across all cloud providers. Consolidate audit logs into a unified SIEM with cross-cloud correlation.

Step 4

Operations Runbook Development

Create healthcare-specific runbooks for every clinical workload — covering incident response, change management, failover procedures, and HIPAA breach response across all cloud environments.

Step 5

Managed Operations Handover

Transition to ongoing managed operations with defined SLAs, monthly operational reporting, quarterly clinical IT reviews, and continuous improvement roadmap.

Industries We Serve

Our cloud services deliver value across diverse industries

Healthcare

Hospitals & Health Systems

Health Insurance

Telehealth

Digital Health

Cloud Platforms & Tools

Industry-leading platforms and tools we leverage to deliver exceptional results

Technologies

DatadogGrafanaOpenTelemetryPagerDutyTerraformAWS CloudTrailAzure MonitorGoogle Cloud Logging

Platforms

AWSMicrosoft AzureGoogle CloudAWS GovCloudAzure GovernmentGCP Healthcare API

Example Success Story

See how we've helped businesses achieve success with cloud solutions

Client Challenge

A 20-hospital health system ran Epic on Azure, analytics on GCP, and legacy clinical apps on AWS — managed by three separate vendor contracts with no unified HIPAA compliance posture or incident coordination across providers.

Cloud Solution Implemented

We deployed a unified Datadog observability layer across all three clouds, consolidated PHI access logging into a single SIEM, established a single healthcare operations team managing all providers, and reduced the vendor contract footprint from three to one.

Business Results

Unified monitoring across Azure, GCP, and AWS for 140+ clinical workloads

HIPAA compliance posture unified — same controls enforced across all three providers

Mean time to detect clinical incidents reduced by 65%

Multi-cloud operational cost (tooling + management) reduced by 42%

Three vendor management contracts consolidated into a single engagement

Frequently Asked Questions

Common questions about Healthcare Multi Cloud Operations

Health system multi-cloud environments typically evolve organically: Epic recommends or hosts on Azure, a GCP-native analytics platform is acquired, and legacy clinical apps were migrated to AWS years earlier. Mergers and acquisitions add further cloud fragmentation. The result is multiple cloud providers with separate compliance postures, separate operational teams, and no unified clinical visibility.

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