Sensor uploads arrive in unpredictable bursts that overwhelm downstream analytics if sent inline. How should architects protect throughput and avoid drops?
Select an answer to reveal the explanation.
Short Explanation
Put a shock absorber between the firehose and the analytics kitchen—SQS or Kinesis holds the burst so nothing spills on the floor.
Full Explanation
Buffering with SQS or Kinesis decouples producers from consumers, absorbing bursts and protecting downstream analytics while retaining data. Synchronous overload, deliberate drops, or laptop staging sacrifice durability and throughput. Buffering for performance isolation is a core Task 2.5 technique.