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Healthcare

Moving a HIPAA clinical analytics platform off a vendor data centre

A U.S. healthcare technology company delivering clinical analytics for providers and hospitals

Eight weeks, zero downtime, and an analytics stack the company owns outright

8 weeks
to own and govern its own infrastructure
Industry
Healthcare technology / clinical analytics
Scale
200 dashboards, 300-400 users, ~50 GB clinical data weekly
Constraint
HIPAA-regulated, zero downtime permitted
Architecture shown
Google Cloud reference design

The challenge

  • The platform depended on a vendor-managed data centre it did not control or govern
  • Analytics ran on proprietary tools whose per-seat licensing grew with every new user
  • The migration had to move live clinical pipelines without interrupting delivery
  • 200 embedded dashboards served 300 to 400 users who could not lose access

What it had to do

  • Own and govern the infrastructure, with HIPAA alignment throughout
  • Move live clinical pipelines with zero downtime
  • Reproduce 200 dashboards on a stack with no licensing obligation
  • Prove the replacement handles the data volume before committing to it

What we built

We ran the migration in phases against live clinical workloads, moving container clusters and production databases without interrupting a single pipeline or changing anything from the client perspective. In parallel we proved out an open analytics stack, that it handled the data volume, reproduced the dashboards, and supported embedding, before any commitment to the full cutover.

Zero-downtime migration

Container clusters and production databases moved without interrupting clinical pipelines.

HIPAA-aligned by design

Governance, access control and audit built into the target environment.

Licensing eliminated

Proprietary per-seat analytics replaced with a stack the company owns.

Proven before committed

Volume, dashboard parity and embedding validated in a proof phase first.

Reference architecture

Sources

  • Clinical systems
  • Provider feeds

Platform

  • GKE
  • Cloud SQL

Govern

  • BigQuery
  • VPC Service Controls
  • Cloud KMS

Serve

  • Looker
  • Cloud Monitoring

Results

  • Eight weeks from depending on a vendor-managed data centre to owning and governing its own infrastructure
  • Zero downtime across the migration: container clusters and two production database clusters moved without interrupting a single clinical pipeline
  • No DNS change visible from the client perspective throughout
  • Proprietary analytics licensing eliminated, with 800 GB of data and 200 dashboards moving to a stack carrying no ongoing licence obligation
  • Replacement stack validated for data volume, dashboard parity and SaaS embedding before full commitment

For clinicians

Data delivery never paused during the move.

For engineering

The company governs its own environment instead of a vendor.

For finance

Analytics cost stops scaling with every new user added.

  • GKE
  • Cloud SQL
  • BigQuery
  • Looker
  • VPC Service Controls
  • Cloud KMS
  • Cloud Monitoring

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