Incident report terminology
The following terms are used in CloudWatch investigations incident reports:
- AI-derived fact
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A piece of information or observation that the AI system considers to be objectively true or highly probable based on the available data, telemetry, logs, and historical patterns within Amazon services. These facts are derived through algorithmic analysis and machine learning models, and while they are treated as reliable by the system, they should be subject to human verification, especially in critical decision-making contexts. AI-derived facts may include correlations between events, anomaly detections, or inferences about system behavior that might not be immediately apparent to human operators.
- Corrective actions
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Specific, actionable steps recommended by CloudWatch investigations to address the root cause of an incident and prevent its recurrence, based on Amazon best practices and the specific context of the affected resources.
- Fact categories
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Structured groupings of incident-related information, such as impact metrics, detection details, and mitigation steps, used to organize data for report generation.
- Impact assessment
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A quantitative and qualitative evaluation of an incident's effects on system performance, user experience, and business operations, derived from CloudWatch metrics and other Amazon service data added to the investigation.
- Incident report generation
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An automated process that creates comprehensive documentation of an operational incident, including its timeline, impact, root cause, and resolution steps, based on data collected during a CloudWatch investigations investigation.
- Investigation Feed
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A chronological display of accepted observations, hypotheses, and user-added notes within a CloudWatch investigations investigation, serving as the primary record of the investigation's progress and findings.
- Lessons learned
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Automatically generated insights and improvement opportunities identified through the incident investigation process, aimed at enhancing system reliability, operational efficiency, and incident response capabilities across the organization.
- Report assessment
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An automated evaluation of the generated incident report, identifying potential data gaps or areas requiring additional information to improve report completeness and quality.
- Root cause analysis
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A systematic process of identifying the fundamental reason for an operational issue, leveraging CloudWatch investigations AI-driven hypotheses and correlations across multiple Amazon services.
- Suggestions tab
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A feature in CloudWatch investigations that presents AI-generated observations and hypotheses about potential causes or related issues, based on analysis of system telemetry and logs.
- Timeline events
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A chronological sequence of significant occurrences during an incident, automatically extracted from CloudWatch logs, metrics, and other Amazon service data to provide a clear overview of incident progression.