To determine whether an issue stems from Amazon Bedrock or your own implementation, start by verifying the service status. AWS provides a Service Health Dashboard that reports real-time status for all services, including Bedrock, across regions. Navigate to the dashboard, select the region you’re using, and check for active incidents or outages. If Bedrock shows degraded performance or outages in your region, the problem is likely on AWS’s side. For example, during a service disruption, you might observe consistent API timeouts or errors like InternalServerError across all requests, even for basic operations. If the dashboard shows no issues, focus on your implementation.
Next, analyze logs and metrics to isolate the root cause. Enable AWS CloudTrail and Amazon CloudWatch to monitor Bedrock API calls and track metrics like error rates, throttling, and latency. If your logs show errors specific to your code—such as invalid request parameters (e.g., incorrect model IDs), authentication failures (403 errors), or misconfigured IAM roles—the issue is likely in your implementation. For example, a ValidationException with a message like "Model ID not found" indicates an invalid parameter in your request. Conversely, if you see a sudden spike in 5xx errors (e.g., ServiceUnavailable or ThrottlingException) across multiple requests, even with valid inputs, this suggests a service-side problem or regional throttling. Compare this behavior with a minimal test case (e.g., a standalone script using the AWS SDK) to rule out application-specific issues.
Finally, test with simplified code and external tools. Use the AWS CLI or SDK to send a basic Bedrock API request (e.g., invoke-model with a simple prompt). If the CLI/SDK command fails with the same error, the issue is likely with Bedrock. For example, if aws bedrock-runtime invoke-model --region us-east-1 ... returns a 503 error, AWS may be experiencing an outage. If the CLI works but your application fails, debug your code for issues like incorrect error handling, concurrency limits, or network configuration (e.g., VPC restrictions). Additionally, check the AWS Bedrock documentation for known limitations, such as model-specific quotas or regional availability. If uncertainty remains, open a support ticket with AWS, providing request IDs and error details from your logs.