Current DBaaS solutions move the database to the cloud, where it is available like a conventional database. In a serverless scenario, it would be conceivable that the database would only wake up from idle mode (and incur costs) if a query actually takes place. After processing, it would then immediately switch back to idle mode. The only issue to consider in such a scenario is performance: the database would need a certain amount of time to start up, which would delay the response time.
However, if a response time in the sub-millisecond range is not necessary - and there are many application examples of this - it would be possible to argentina telegram screening reduce operating costs even further. And there would be another advantage: the database would indirectly cause fewer CO2 emissions because it consumes less electricity. This thought experiment is particularly interesting in the context of green IT and the important sustainability debate.
In connection with serverless scenarios, trend technologies such as machine learning and artificial intelligence could also be helpful. For example, by training providers to predict queries and their query types and to automatically start up the database or parts of it when necessary.