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The application should be able to serve cached content in order to keep the number of transactions on the database to a minimum.
Detailed description
When a GET requests are posted to the Datahub, the generated XML content is fetched from a key/value store such as Varnish or Redis. The Datahub only gets requests when content doesn't exist in the caching store. When records receive an update through the API, the content in the store is invalidated and removed.
Context
This is necessary if we want the application to scale up. That is, serve more consumers of data concurrently without the app crashing or breaking.
It would vastly improve delivery speed of content. In other words, improved throughput of information improves the appeal to use the datahub to serve large batches of records.
The application should be able to serve cached content in order to keep the number of transactions on the database to a minimum.
Detailed description
When a GET requests are posted to the Datahub, the generated XML content is fetched from a key/value store such as Varnish or Redis. The Datahub only gets requests when content doesn't exist in the caching store. When records receive an update through the API, the content in the store is invalidated and removed.
Context
This is necessary if we want the application to scale up. That is, serve more consumers of data concurrently without the app crashing or breaking.
It would vastly improve delivery speed of content. In other words, improved throughput of information improves the appeal to use the datahub to serve large batches of records.
Possible implementation
Symfony 3.4 and 4.1 support an advanced PSR-6 compliant caching component. The component has a host of caching adapters for various caching solutions.
Once a migration to a more recent version of Symfony has been completed, this could be implemented. (See: #29)
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