Major Errors Alerting: Any major error occurring in the system should trigger an alert to notify the responsible team members. Major errors include but are not limited to:
Failure in data ingestion process.
Transformation errors.
Data loading failures into the data warehouse.
Any critical system malfunction.
CloudWatch Alarms: Set up CloudWatch alarms to monitor critical metrics and thresholds related to the project's components. Alarms should be triggered based on conditions like error rates, processing time thresholds, or system health metrics.
Email Notifications: Configure CloudWatch to send email notifications to designated team members or distribution lists in the event of a major error or when a CloudWatch alarm is triggered. The email notifications should include details about the error, its impact, and steps to mitigate it.
Logging:
Comprehensive Logging: Ensure comprehensive logging of all processes and activities within the system. This includes logging information about data ingestion, transformation, loading, scheduled jobs, and any errors encountered.
Structured Logging: Log messages should be structured and standardized to facilitate easy search, filtering, and analysis. Use common log formats such as JSON or key-value pairs to structure log messages consistently across all components.
Severity Levels: Log messages should be categorized based on severity levels such as INFO, WARN, ERROR, and DEBUG. Each log message should indicate the severity level to provide context about its importance.
Timestamps: Include timestamps in log messages to indicate when events occurred. Use consistent date and time formats to ensure clarity and consistency in log entries.
Component Identification: Clearly identify the component or service generating each log message. Include relevant metadata such as function names, module names, or AWS resource identifiers to track the origin of log entries.
Integration with AWS Services: Integrate logging with other AWS services such as AWS Lambda, AWS S3, and AWS Glue to capture logs generated by these services. Configure log streams or log groups to aggregate logs from multiple sources.
Error Handling:
Major Errors Alerting: Any major error occurring in the system should trigger an alert to notify the responsible team members. Major errors include but are not limited to:
CloudWatch Alarms: Set up CloudWatch alarms to monitor critical metrics and thresholds related to the project's components. Alarms should be triggered based on conditions like error rates, processing time thresholds, or system health metrics.
Email Notifications: Configure CloudWatch to send email notifications to designated team members or distribution lists in the event of a major error or when a CloudWatch alarm is triggered. The email notifications should include details about the error, its impact, and steps to mitigate it.
Logging:
Comprehensive Logging: Ensure comprehensive logging of all processes and activities within the system. This includes logging information about data ingestion, transformation, loading, scheduled jobs, and any errors encountered.
Structured Logging: Log messages should be structured and standardized to facilitate easy search, filtering, and analysis. Use common log formats such as JSON or key-value pairs to structure log messages consistently across all components.
Severity Levels: Log messages should be categorized based on severity levels such as INFO, WARN, ERROR, and DEBUG. Each log message should indicate the severity level to provide context about its importance.
Timestamps: Include timestamps in log messages to indicate when events occurred. Use consistent date and time formats to ensure clarity and consistency in log entries.
Component Identification: Clearly identify the component or service generating each log message. Include relevant metadata such as function names, module names, or AWS resource identifiers to track the origin of log entries.
Integration with AWS Services: Integrate logging with other AWS services such as AWS Lambda, AWS S3, and AWS Glue to capture logs generated by these services. Configure log streams or log groups to aggregate logs from multiple sources.