Which solution will meet this requirement with the LEAST development effort?
Instrument the application with AWS X-Ray. Inspect the service map to identify errors and issues.
Configure Lambda exceptions and additional logging to Amazon CloudWatch. Use CloudWatch Logs Insights to query the logs.
Configure API Gateway to log responses to Amazon CloudWatch. Create a metric filter for the TooManyRequestsException error message.
Use Amazon CloudWatch metrics for the DynamoDB tables to identify all the ProvisionedThroughputExceededException error messages.
Explanations:
AWS X-Ray provides end-to-end tracing, enabling a service map view of the API Gateway, Lambda, and DynamoDB interactions to easily identify bottlenecks and issues.
CloudWatch Logs Insights can analyze logs, but it requires custom logging and lacks the end-to-end tracing needed to identify architectural bottlenecks.
Monitoring only API Gateway error responses misses broader bottlenecks in Lambda and DynamoDB, so it does not provide a full view of the architecture.
CloudWatch metrics for DynamoDB focus on throughput issues, but this approach does not cover API Gateway or Lambda interactions, limiting its scope.
I sort that the answer is:
Instrument the application with AWS X-Ray. Inspect the service map to identify errors and issues.
In my experience, the answer is:
Instrument the application with AWS X-Ray. Inspect the service map to identify errors and issues.