Azure FHIR Server can scale to handle high levels of data traffic through its integration with the Azure platform.
Here are some of the key features that enable Azure FHIR Server to scale:
- Azure Scale Sets: Azure FHIR Server can be deployed as an Azure scale set, which provides automatic scaling of resources based on demand. This means that Azure FHIR Server can automatically add more resources, such as virtual machines, as needed to handle increased traffic.
- Azure Cosmos DB: Azure FHIR Server uses Azure Cosmos DB as its underlying data store, which is a highly scalable, globally distributed database service. This enables Azure FHIR Server to handle high levels of data traffic and provides built-in support for data replication and data distribution.
- Auto-Scaling Rules: Azure FHIR Server provides the ability to define auto-scaling rules, which determine when and how the platform should automatically add or remove resources based on traffic patterns. This enables Azure FHIR Server to scale dynamically and efficiently.
- Load Balancing: Azure FHIR Server can be deployed behind an Azure Load Balancer, which provides automatic load balancing and failover capabilities. This ensures that Azure FHIR Server can handle high levels of traffic, even in the event of failures or resource constraints.
By leveraging these features, Azure FHIR Server can scale to handle high levels of data traffic, while also providing reliability and performance. This enables organizations to store and manage health data at scale, while also building and deploying applications and solutions that use that data.
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