Building the next-gen healthcare platform using cloud native bingo
summary
Platform hosts patient data in a private cloud with >1M Helena users and enforces multi-tenancy via common Spring Boot libraries, uses OptaPlanner for scheduling and Java ML prototypes, and exposes observability with Grafana and Prometheus. Deployment moves from weeks to hours after a Kubernetes migration in <5 months with container-first apps. Operational services are service-oriented rather than microservices, frontends use React Native and micro-frontends, and analytics shift to a data mesh for the analytical plane to expose reusable data products.
AI-written summary · about
chapters (8)
- 0:00Introduction
- 1:06Cloud native bingo vision
- 3:18Service oriented architecture
- 5:02Spring Boot and libraries
- 7:09Patient data security
- 8:13Kubernetes and DevOps
- 10:03Data mesh strategy
- 12:10Closing and hiring
related talks
30mEdge Kubernetes and Healthcare: A Next-Gen Architecture that Scales Across Thousands of Locations
21mBuilding Resilient Healthcare-Mobility Platforms
41mAdopting Microservices in Healthcare, Breaking Apart the Monolith
27mGen-AI at Scale: Simplifying Orchestration of Healthcare Applications Across Multi-Cluster Environme
46mBuilding a cloud-native health-care data integration with Dapr
20mCloud Native: The Building Blocks for the Human Experience
54mMigrating to Cloud Native with Microservices
47mModernising in Healthcare: a case study in decision making