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Cloud-Native Healthcare Staffing

Modernising a slow, costly monolithic staffing system with cloud-native microservices on Azure: 60% faster onboarding and a fourfold reduction in time to value.

  • ClientA leading healthcare provider
  • IndustryHealthcare
  • Built withAzure Kubernetes Service, .NET Core, React
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The transformation

Before

  • A slow, inflexible monolith
  • Outdated desktop technology
  • Hard to sync on-premises and cloud data
  • Slow issue resolution and onboarding

After

  • Cloud-native microservices on AKS
  • Accurate, real-time data sync
  • Modern DevOps practices
  • 60% faster onboarding
60%reduction in onboarding time for healthcare staff
4×faster time to deliver value

01 · The challenge

Where they started

A leading healthcare provider relied on a legacy monolithic staffing application that had served end-to-end staffing needs for years, but had become slow, inflexible and expensive.

Monolithic limits

The monolithic architecture was slow, hard to adapt and expensive to maintain.

Outdated technology

The desktop client couldn't keep pace with modern operational demands.

Data sync

Keeping on-premises and cloud data accurate and in sync was a challenge.

Operational inefficiency

Issue resolution and onboarding needed to be much faster.

02 · The solution

What we built

DATA LEAGUE designed a cloud-native solution to run alongside the legacy system, so the client could modernise without a risky big-bang switch.

How it fits together

  1. Legacy systemOn-premises SQL Server
  2. ADF and CDCReal-time sync
  3. Microservices on AKS.NET Core
  4. APIM and Service BusIntegration
  5. React front endModern experience
01

Cloud-native approach

A new solution running alongside the legacy system, built for agility and scale.

02

Microservices on AKS

Domains decomposed into containerised microservices on Azure Kubernetes Service.

03

Data sync

On-premises and Azure kept in sync with Azure Data Factory and change data capture.

04

Modern DevOps

Practices that streamline development and cut lead times.

03 · Delivery

How we delivered it

  1. 1

    Select the stack

    AKS, Azure Functions, hybrid SQL Server, Cosmos DB, ADF, CDC, Azure Cognitive Search, Service Bus, APIM, Azure Firewall, .NET Core, React and App Insights.

  2. 2

    Containerise

    Domain microservices containerised and deployed on AKS.

  3. 3

    Synchronise

    Accurate, real-time data exchange between on-premises and cloud.

  4. 4

    Transform delivery

    Agile workflows, automation and tighter feedback loops.

04 · Results

What changed

60%reduction in onboarding time for healthcare staff
4×faster time to deliver value

60% faster onboarding

Healthcare staff onboarded in less than half the time.

4× faster time to value

Improvements reach users four times faster.

Faster issue resolution

Quicker fixes for smoother staffing management.

Modernised operations

A faster, more flexible platform for timely, accurate processes.

05 · Technology

Built with

  • Azure Kubernetes Service
  • .NET Core
  • React
  • Azure Data Factory
  • Change data capture
  • Cosmos DB
  • Azure API Management

Related services

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