Data architectures in Cloud Computing. 

We were discussing that traditional data processing architecture has changed a lot from where they used to be part of the ubiquitous three tier architecture involving databases, to being more distributed, scaled up and scaled out, sharded and hosted on private and public clouds, maintained on clusters and containers with shared volumes, hosted in memory and even becoming hybrid to involve SQL and NoSQL technologies. We continue reviewing some of the improvements in this field 
One of the trends is the availability of augmented memory with the help of solid state drives. The SSD increases the speed for data access by an order of magnitude compared to disk. Therefore memory intensive programs such as database and data access technologies have potential to make most use of this improvement.  With non-moveable storage such as SSD, there's also less vulnerability to faults and improved reliability of persistence. Needless to say, it improves database performance because disks don't have to be spun up.  Perhaps, the more significant contribution is when memory is backed by SSD such that in-memory programs can take more advantage of cache. Even if the database is used 24x7 for long periods of time, this does not wear the SSD. The TRIM command is especially provided for sustained long-term performance and wear-leveling. The TRIM support can be enabled on a continuous as well as a periodic basis.

 #codingexercise
Find the next greater element for all in an integer array
Int[] GetNextGreaterElements(List<int> A)
{
var result = new int[A.length];
for (int i =0; i < A.Length; i++)
{
int next = -1;
for (int j = i+1; j < A.Length; j++)
      if (A[j] > A[i]){
          next  = A[j];
          break;
      }
result[i] = next;
}
return result;

}