Healthcare · HealthTech · Case Study — Cloud-Native RPM Platform

HealthTech Platform Scales 5x with Modern Architecture

A cloud-native migration story — from a legacy monolithic RPM platform to a fully containerized, multi-tenant SaaS — scaling 5x user capacity while cutting infrastructure costs by 30% and achieving 99.98% uptime.

Cloud-Native MigrationAWS ContainerizationMulti-Tenant SaaSFHIR IntegrationDevSecOps
Client
HealthTech RPM Provider · US / SEA / India
Domain
Healthcare · Remote Monitoring
Model
Cloud-Native Migration & Modernization
Disciplines
AWS · FHIR · Multi-Tenant SaaS · DevSecOps
5x
Higher user capacity on the same infrastructure footprint
30%
Lower infrastructure costs after cloud-native migration
2x
Faster release cycles through CI/CD and DevSecOps
99.98%
Platform uptime achieved post-migration
Overview

From legacy monolith to a cloud-native platform scaling 5x

A rapidly growing HealthTech RPM provider connecting patients with healthcare teams through remote monitoring across the US, Southeast Asia, and India — serving 20+ global clients with 150+ engineers. The platform had outgrown its legacy monolithic architecture: scalability bottlenecks and recurring downtime were limiting patient capacity, high maintenance overhead was slowing engineering, and the absence of a multi-tenant model was blocking partner onboarding and commercial expansion.

10decoders designed and executed a full cloud-native migration — containerizing services on AWS, implementing CI/CD pipelines with DevSecOps, integrating FHIR-based real-time event streaming, and building a multi-tenant SaaS model. The result: 5x user capacity, 30% lower infrastructure costs, 2x faster releases, and 99.98% uptime.

The Platform

What the modernized platform delivers

Scalability

5x User Capacity

Containerized microservices on AWS eliminated the scalability ceiling of the legacy monolith — enabling the platform to handle 5x the user load without proportional infrastructure cost increases.

Cost

30% Lower Infrastructure Costs

Cloud-native architecture enabled right-sized infrastructure provisioning and auto-scaling — eliminating over-provisioned servers and reducing total infrastructure spend by 30% post-migration.

Reliability

99.98% Uptime

Distributed architecture with automated failover, health monitoring, and containerized workloads achieved 99.98% platform uptime — eliminating the recurring downtime that had limited patient care continuity.

Delivery

2x Faster Releases

CI/CD pipelines with integrated DevSecOps practices automated build, test, and deployment workflows — cutting release cycle time in half while embedding security into every stage of delivery.

Interoperability

FHIR Real-Time Event Streaming

FHIR-based real-time event streaming replaced batch data transfers — enabling live health data synchronization across the care ecosystem and supporting compliance-ready data exchange at scale.

Partnerships

Multi-Tenant SaaS Model

A fully isolated multi-tenant SaaS architecture unlocked partner onboarding at scale — enabling the platform to onboard healthcare partners independently without custom infrastructure per client.

Challenge & Approach

The Problem, and How We Solved It

A platform built for a different scale — now capped by its own legacy architecture while the business demanded exponential growth.

The Challenge

  • Scalability bottlenecks and recurring platform downtime were limiting patient capacity — preventing the platform from growing to meet rising demand from patients, clinicians, and healthcare partners
  • High infrastructure maintenance overhead and slow, error-prone deployments were blocking engineering velocity — pulling teams away from product development and toward firefighting legacy infrastructure
  • The absence of a multi-tenant model required custom infrastructure for every new partner — making partner onboarding slow, expensive, and operationally unsustainable at commercial scale

Our Approach

  • Migrated to containerized microservices on AWS — enabling auto-scaling, distributed load handling, and automated failover that delivered 5x user capacity and 99.98% platform uptime
  • Implemented CI/CD pipelines with integrated DevSecOps and FHIR-based real-time event streaming — cutting release cycles in half and enabling live health data synchronization across the care ecosystem
  • Built a fully isolated multi-tenant SaaS model — enabling scalable, self-service partner onboarding without custom infrastructure per client, reducing infrastructure costs by 30%
The Approach

The Solution

10decoders executed a full cloud-native modernization across four workstreams — containerization, CI/CD and DevSecOps, FHIR-based real-time data, and multi-tenant SaaS — replacing every layer of the legacy monolith.

Containerized Microservices on AWS

Decomposed the legacy monolith into containerized microservices on AWS — enabling independent scaling, automated failover, and 5x user capacity without proportional infrastructure growth.

CI/CD with DevSecOps

Automated build, test, and deployment pipelines with security embedded throughout — cutting release cycles from weeks to days while maintaining compliance and reducing deployment risk.

FHIR-Based Real-Time Event Streaming

Replaced batch health data transfers with FHIR-based real-time event streaming — enabling live data synchronization across the care ecosystem and compliance-ready data exchange at scale.

Multi-Tenant SaaS Architecture

Fully isolated multi-tenant SaaS model enabling scalable, self-service partner onboarding — eliminating the need for custom infrastructure per client and unlocking commercial expansion.

How It Fits Together

From monolithic limitations to a cloud-native platform scaling 5x.

Containerization, CI/CD, FHIR streaming, and multi-tenant SaaS — all converging into one scalable, compliant, always-on HealthTech platform.

Legacy State

Legacy Monolithic RPM Platform

Scalability bottlenecks, recurring downtime, slow deployments, high maintenance costs — and no multi-tenant model to support partner growth at scale.

Cloud Modernization

10decoders Cloud-Native Modernization

AWS containerization, CI/CD pipelines, DevSecOps, FHIR real-time event streaming, and fully isolated multi-tenant SaaS — all deployed as one coordinated modernization program.

Modern Platform

Scalable HealthTech SaaS Platform

5x user capacity, 99.98% uptime, 30% lower infrastructure costs, 2x faster releases — and a multi-tenant model enabling commercial expansion at scale.

The Deliverables

What We Built

01

Containerized AWS Microservices

Decomposed legacy monolith into independently scalable containerized services on AWS — enabling 5x user capacity and 99.98% uptime through distributed architecture and automated failover.

02

CI/CD Pipelines & DevSecOps

Automated build, test, and deployment with embedded security — cutting release cycles in half while maintaining compliance and reducing deployment risk across every engineering team.

03

FHIR Real-Time Event Streaming

Live health data synchronization across the care ecosystem — replacing batch data transfers with compliant real-time event streaming that scales with patient volume and partner integrations.

04

Multi-Tenant SaaS Architecture

Fully isolated multi-tenant SaaS model — enabling scalable self-service partner onboarding, eliminating custom infrastructure per client, and reducing total infrastructure costs by 30%.

The Outcome

Impact Across the Organization

Providers & Patients

5x Capacity, 99.98% Uptime

Cloud-native architecture eliminated the scalability ceiling — enabling 5x the patient volume on the same cost footprint while delivering 99.98% platform uptime and eliminating recurring downtime.

Engineering & Infrastructure

2x Faster Releases, 30% Lower Costs

CI/CD automation and right-sized cloud infrastructure doubled release velocity while cutting infrastructure spend by 30% — freeing engineering teams from maintenance overhead to focus on product.

Business & Partnerships

Multi-Tenant SaaS at Scale

A fully isolated multi-tenant architecture enabled scalable, self-service partner onboarding without custom infrastructure — unlocking commercial expansion and accelerating healthcare partner growth.

Talk to our CTO

Start with a thirty-minute conversation.

No 50-page proposals. We'll tell you which level fits your situation, what a realistic engagement looks like, and what it would cost — in one direct meeting.

Who you'll talk to
Thomas, CTO at 10decoders

Thomas

Chief Technology Officer

Connect on LinkedIn

Thomas leads 10decoders' AI engineering practice and sits in on the scoping call himself — so the person mapping your engagement is the one who has shipped it before. His teams build and deploy agents for mid-market healthcare and fintech companies, with enterprise grade build experience for clients like IBM, Dedalus and Harris Healthcare. He'll be straight with you about what's worth doing and what isn't.

200+
Engineers
37+
Global Clients
ISO
27001 / 9001
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