A software company wants to use instrumentation data to detect and resolve errors to improve application recovery time. The company requires API usage anomalies, like error rate and response time…

Amazon Kinesis Data Firehose is primarily a data transport and loading service that buffers and delivers streaming data to destinations; it does not inherently perform real-time analytics or anomaly detection on the data itself.

While Amazon Kinesis Data Analytics is the correct service for processing, simply stating it's a 'data transport layer' is incomplete and doesn't fully capture its analytical capabilities required for anomaly detection and dashboarding.

Amazon Kinesis Data Analytics can serve as a real-time data processing layer, analyzing incoming logging data to detect anomalies like error rate and response time spikes in near-real time. It can then output processed data to dashboards (e.g., via Amazon OpenSearch Service) for analysts, fulfilling both the anomaly detection and NRT dashboard requirements.

Amazon Kinesis Data Firehose is primarily a data transport and loading service that buffers and delivers streaming data to destinations; it does not inherently perform real-time analytics or anomaly detection on the data itself.