The legacy cloud-distributed application employs a combination of synchronous and asynchronous data flows, utilizing Azure Cloud services like Service Bus Messaging for efficient transactional processes.
In developing a reprocessing utility, traditional frameworks like Spring Boot can be less efficient than scripting languages such as Scala or Python, especially for on-demand tasks.
Daily data dumps in CSV format facilitate data cleansing while asynchronous messages enhance the application's ability to maintain accurate records in PostgreSQL.
The architecture emphasizes the importance of data storage for API calls, ensuring that applications can retrieve and render accurate data, despite potential message loss.
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