What services could be used to reduce the elaboration time and improve the availability of the solution?
S3 to store I/O files. SQS to distribute elaboration commands to a group of hosts working in parallel. Auto scaling to dynamically size the group of hosts depending on the length of the SQS queue
EBS with Provisioned IOPS (PIOPS) to store I/O files. SNS to distribute elaboration commands to a group of hosts working in parallel Auto Scaling to dynamically size the group of hosts depending on the number of SNS notifications
S3 to store I/O files, SNS to distribute evaporation commands to a group of hosts working in parallel. Auto scaling to dynamically size the group of hosts depending on the number of SNS notifications
EBS with Provisioned IOPS (PIOPS) to store I/O files SQS to distribute elaboration commands to a group of hosts working in parallel Auto Scaling to dynamically size the group ot hosts depending on the length of the SQS queue.
Explanations:
S3 is suitable for storing large I/O files as it’s highly scalable and durable. SQS can distribute tasks efficiently, while Auto Scaling dynamically adjusts resources based on queue length, reducing processing time.
EBS with Provisioned IOPS provides fast storage but is more limited in scalability and cost-effective high-throughput storage than S3. SNS is more suitable for pub/sub scenarios and not designed for handling task queues.
S3 is suitable for storage, but SNS is primarily a notification service, not a task queue like SQS, so it may not ensure task distribution for parallel processing.
While EBS with Provisioned IOPS is high-performance, it lacks the scalability of S3. SQS is correctly chosen for task distribution, but S3 is a better choice than EBS for input/output files given the high volume.
I opine that the answer is:
S3 to store I/O files. SQS to distribute elaboration commands to a group of hosts working in parallel. Auto scaling to dynamically size the group of hosts depending on the length of the SQS queue