What solution meets the requirements?
Install Amazon Kinesis Agent on servers, send logs to Amazon Kinesis Data Streams and use Amazon Kinesis Data Analytics to identify errors, create an Amazon CloudWatch alarm to notify the Operations team of errors
Install an AWS X-Ray agent on servers, send logs to AWS Lambda and analyze them to identify errors, use Amazon CloudWatch Events to notify the Operations team of errors.
Install Logstash on servers, send logs to Amazon S3 and use Amazon Athena to identify errors, use sendmail to notify the Operations team of errors.
Install the Amazon CloudWatch agent on servers, send logs to Amazon CloudWatch Logs and use metric filters to identify errors, create a CloudWatch alarm to notify the Operations team of errors.
Explanations:
While using Amazon Kinesis Data Streams and Kinesis Data Analytics can aggregate and analyze logs, this solution is more complex than necessary for the requirements, particularly in automating log analysis and notifying the team. The reliance on Kinesis might not be optimal for straightforward log management.
AWS X-Ray is primarily used for tracing and analyzing performance of applications rather than direct log analysis. Sending logs to AWS Lambda does not facilitate automated log analysis effectively for error detection. CloudWatch Events is not suitable for continuous monitoring and alerting in this context.
While using Logstash to send logs to Amazon S3 and querying with Athena can work, it involves more complexity with data storage and querying. Additionally, using sendmail for notifications lacks integration with AWS’s native monitoring tools like CloudWatch.
This solution effectively uses the Amazon CloudWatch agent to send logs to CloudWatch Logs, where metric filters can automatically analyze logs for errors. Creating a CloudWatch alarm allows for proactive notifications to the Operations team when error thresholds are exceeded, meeting all outlined requirements efficiently.
I appraise that the answer is:
Install the Amazon CloudWatch agent on servers, send logs to Amazon CloudWatch Logs and use metric filters to identify errors, create a CloudWatch alarm to notify the Operations team of errors.