A company has an infrastructure that consists of machines that send log information every 5 minutes. The number of these machines can run into thousands. It is required to ensure that the analysis of every log item is completed within 24 hours. What could help to fulfill this requirement?

Answer options:

A.Use Kinesis Data Streams to collect the logs and persist the data to S3 using Kinesis Firehose and Lambda.
B.Launch an Elastic Beanstalk application to take the processing job of the logs.
C.Launch an EC2 instance with enough EBS volumes to consume the logs which can be used for further processing.
D.Use CloudTrail to store all the logs which can be analyzed at a later stage.

Correct Answer – A
AWS Documentation mentions the following:
Amazon Kinesis Data Streams (KDS) is a massively scalable and durable real-time data streaming service. KDS can continuously capture gigabytes of data per second from thousands of sources such as website clickstreams, database event streams, financial transactions, social media feeds, IT logs, and location-tracking events.
Make your streaming data available to multiple real-time analytics applications, to Amazon S3 or AWS Lambda within 70 milliseconds of the data being collected.
For more information on Amazon Kinesis firehose, please visit the following URL:
https://aws.amazon.com/kinesis/data-streams/