Case Study

Optimizing DE4Bios performance with AWS Cloud

ABSTRACT
We have reengineered our DE4Bios biosurveillance platform by migrating the system from our internal Data Center to AWS Cloud.

Where: italy
Challenge
The client is Azienda Zero, and its corporate mission is to ensure the rationalization, integration, and optimization of healthcare, social-healthcare, and administrative-technical services.
Approach
For Regione Veneto, we realized a biosurveillance system, based on a collaborative platform architecture capable of correlating health data, public administration data, and geographical data to create a real-time monitoring system for controlling the spread of Covid19. DE4Bios was adopted because it allows harmonization, synchronization, integration, visualization, combination, association, and analysis of data from different data sources. Since a couple of years from the initial adoption of the platform, we began an evolutionary path aimed to reengineer some modules on AWS Cloud. We adopted DevOps methodologies and ensured business continuity for our client.
Digital Ecosystem
Solution
Digital Ecosystem
The new architecture consists of: - Ingestion Microservice: based on Spring Batch, which will implement maximum code reuse across the currently planned 21 different ingestion flows. Each individual microservice of a specific flow can be launched on multiple nodes to ensure greater scalability capacity. - Export Microservice: based on Spring Batch, which can be launched on a specific tables. - RDBMS as the database supporting Spring Batch required for job management. - NoSQL as the database supporting the configuration parameters of the Data Quality. - Orchestration Microservice: based on Spring Batch, will ensure load balancing.
Results

 

 

 

 

Improved response times compared to SLAs

 

 

Ability to autoscale in case of workload overload

 

 

Reduced maintenance costs.

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