Okay, one of the scenario that we have faced Before six months or you can say that before eight to nine months or before a year, okay Our percolate lambda was running very slow Why because the queries that we are running was very very very huge queries The data that has been transformed and the data was reported was very very huge Okay so what I have implemented from a conventional part to a non-conventional way or you can say the It was complicating the code, but it was useful in terms of the performance So what I have implemented is like I have implemented a sink and the parallel processing In my lambda so that it can easily process Multiple queries at a single time. So that was a different approach that helps such a team. So from running 100 queries Parallel at a time like 100 executors running at a time in a separate separate lambdas I have come to run 50 lambdas with 200 queries means in a one lambda. It will run a four Four queries at a time So the performance has been 400% increase and the cost has been 200% decrease in that way. I have gained Gain that conventional way out and implemented other flow in my own system
