How can you monitor data pipeline executions in AWS?

How can you monitor data pipeline executions in AWS?

• A. Using AWS CloudTrail for auditing
• B. Using AWS Config for resource monitoring
• C. Using AWS CloudWatch for logs and metrics
• D. Using Amazon Inspector for security assessments

Answer: (C)

Monitoring data pipeline executions in AWS is effectively accomplished using AWS CloudWatch for logs and metrics. AWS CloudWatch is a powerful service designed for real-time monitoring of AWS resources and applications, allowing you to collect and track metrics, monitor log files, and set alarms. It can provide insights into the performance and health of your data pipeline, enabling you to visualize execution times, error rates, and other relevant metrics that could impact data processing. By utilizing CloudWatch Logs, you can capture logs generated by your data pipeline, providing a detailed view of the execution, which is essential for troubleshooting and ensuring smooth operation. CloudWatch Metrics further helps you define performance thresholds and automate responses to changes in your data pipeline's behavior, thereby improving operational efficiency. In contrast, while AWS CloudTrail is excellent for auditing API calls and tracking changes across your AWS account, it does not offer the real-time monitoring and metrics specific to data pipeline executions. AWS Config is primarily for assessing, auditing, and evaluating the configurations of your AWS resources rather than monitoring execution details. Lastly, Amazon Inspector is focused on security assessments of applications, which does not pertain to monitoring the execution status or performance of data pipelines.

Monitoring data pipeline executions in AWS is effectively accomplished using AWS CloudWatch for logs and metrics. AWS CloudWatch is a powerful service designed for real-time monitoring of AWS resources and applications, allowing you to collect and track metrics, monitor log files, and set alarms. It can provide insights into the performance and health of your data pipeline, enabling you to visualize execution times, error rates, and other relevant metrics that could impact data processing.

By utilizing CloudWatch Logs, you can capture logs generated by your data pipeline, providing a detailed view of the execution, which is essential for troubleshooting and ensuring smooth operation. CloudWatch Metrics further helps you define performance thresholds and automate responses to changes in your data pipeline's behavior, thereby improving operational efficiency.

In contrast, while AWS CloudTrail is excellent for auditing API calls and tracking changes across your AWS account, it does not offer the real-time monitoring and metrics specific to data pipeline executions. AWS Config is primarily for assessing, auditing, and evaluating the configurations of your AWS resources rather than monitoring execution details. Lastly, Amazon Inspector is focused on security assessments of applications, which does not pertain to monitoring the execution status or performance of data pipelines.