How can the developer determine the cause of these errors?
Create an Amazon Kinesis Data Firehose delivery stream to receive API call logs from API Gateway. Configure Amazon CloudWatch Logs as the delivery stream’s destination.
Turn on AWS CloudTrail Insights and create a trail. Specify the Amazon Resource Name (ARN) of the trail for the stage of the API.
Turn on AWS X-Ray for the API stage. Create an Amazon CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.
Turn on execution logging and access logging in Amazon CloudWatch Logs for the API stage Create a CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.
Explanations:
Amazon Kinesis Data Firehose is used for streaming data, but it is not designed to capture and analyze API Gateway logs directly. CloudWatch Logs is a more appropriate tool for debugging API Gateway issues.
AWS CloudTrail Insights can help identify anomalies in API calls, but it doesn’t provide detailed logging for troubleshooting HTTP 400 errors. CloudTrail is mainly for API-level auditing, not detailed error analysis.
AWS X-Ray provides detailed tracing of API requests but doesn’t focus on logging specific HTTP error responses like 400 errors. It’s more suited for performance issues and latencies, not direct error logging.
Turning on execution and access logging in CloudWatch Logs will capture detailed logs about the requests and responses, which will help the developer identify the cause of the HTTP 400 errors. CloudWatch Logs is the best tool for detailed logging in API Gateway.
I systematize that the answer is:
Turn on execution logging and access logging in Amazon CloudWatch Logs for the API stage Create a CloudWatch Logs log group. Specify the Amazon Resource Name (ARN) of the log group for the API stage.