Your company releases new features with high frequency while demanding high application availability. As part of the application’s A/B testing, logs from each updated Amazon EC2 instance of the application need to be analyzed in near realtime, to ensure that the application is working flawlessly after each deployment.
If the logs show arty anomalous behavior, then the application version of the instance is changed to a more stable one. Which of the following methods should you use for shipping and analyzing the logs in a highly available manner?
A. Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner each hour.
B. Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner each hour.
C. Ship the logs to an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.
D. Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.
E. Store the logs locally on each instance and then have an Amazon Kinesis stream pull the logs for live analysis.
