AWS prescriptive-guidance documentation change
Summary
Added asterisks (****) after colons in metric definitions, targets, measurements, calculations, and frequencies throughout the document
Security assessment
The changes are purely cosmetic formatting adjustments (adding asterisks) without altering any content related to security vulnerabilities, incidents, or features. The document discusses general incident management metrics without security-specific context.
Diff
diff --git a/prescriptive-guidance/latest/failure-mode-effects-analysis/lagging-indicators.md b/prescriptive-guidance/latest/failure-mode-effects-analysis/lagging-indicators.md index 3de9db528..8bcf0eb95 100644 --- a//prescriptive-guidance/latest/failure-mode-effects-analysis/lagging-indicators.md +++ b//prescriptive-guidance/latest/failure-mode-effects-analysis/lagging-indicators.md @@ -19 +19 @@ These metrics show whether proactive risk management is translating into fewer a - * **Definition** : Number of production incidents per month + * **Definition** :**** Number of production incidents per month @@ -21 +21 @@ These metrics show whether proactive risk management is translating into fewer a - * **Target** : 20% reduction within 6 months of FMEA implementation + * **Target** :**** 20% reduction within 6 months of FMEA implementation @@ -23 +23 @@ These metrics show whether proactive risk management is translating into fewer a - * **Measurement** : Count of production incidents from monitoring systems + * **Measurement** :**** Count of production incidents from monitoring systems @@ -25 +25 @@ These metrics show whether proactive risk management is translating into fewer a - * **Frequency** : Monthly tracking with quarterly trend analysis + * **Frequency** :**** Monthly tracking with quarterly trend analysis @@ -32 +32 @@ These metrics show whether proactive risk management is translating into fewer a - * **Definition** : Percentage of incidents that were identified as risks in FMEA analysis + * **Definition** :**** Percentage of incidents that were identified as risks in FMEA analysis @@ -34 +34 @@ These metrics show whether proactive risk management is translating into fewer a - * **Target** : Increase to 60% of incidents having been pre-identified as risks + * **Target** :**** Increase to 60% of incidents having been pre-identified as risks @@ -36 +36 @@ These metrics show whether proactive risk management is translating into fewer a - * **Calculation** : (Incidents matching FMEA risks / Total incidents) × 100 + * **Calculation** :****(Incidents matching FMEA risks / Total incidents) × 100 @@ -38 +38 @@ These metrics show whether proactive risk management is translating into fewer a - * **Frequency** : Monthly analysis of incident correlation + * **Frequency** :**** Monthly analysis of incident correlation @@ -45 +45 @@ These metrics show whether proactive risk management is translating into fewer a - * **Definition** : Number of severity 1/2 incidents per quarter + * **Definition** :**** Number of severity 1/2 incidents per quarter @@ -47 +47 @@ These metrics show whether proactive risk management is translating into fewer a - * **Target** : 30% reduction within 12 months + * **Target** :**** 30% reduction within 12 months @@ -49 +49 @@ These metrics show whether proactive risk management is translating into fewer a - * **Measurement** : Count of high-severity incidents from incident management system + * **Measurement** :**** Count of high-severity incidents from incident management system @@ -51 +51 @@ These metrics show whether proactive risk management is translating into fewer a - * **Frequency** : Quarterly tracking and trending + * **Frequency** :**** Quarterly tracking and trending @@ -62 +62 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Definition** : Average time to restore service after incident + * **Definition** :**** Average time to restore service after incident @@ -64 +64 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Target** : 15% improvement within 6 months + * **Target** :**** 15% improvement within 6 months @@ -66 +66 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Measurement** : Time from incident start to resolution + * **Measurement** :**** Time from incident start to resolution @@ -68 +68 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Frequency** : Monthly calculation, quarterly trending + * **Frequency** :**** Monthly calculation, quarterly trending @@ -75 +75 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Definition** : Average time to detect incidents after occurrence + * **Definition** :**** Average time to detect incidents after occurrence @@ -77 +77 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Target** : 25% improvement through enhanced monitoring from FMEA + * **Target** :**** 25% improvement through enhanced monitoring from FMEA @@ -79 +79 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Measurement** : Time from incident occurrence to detection + * **Measurement** :**** Time from incident occurrence to detection @@ -81 +81 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Frequency** : Monthly calculation, quarterly trending + * **Frequency** :**** Monthly calculation, quarterly trending @@ -88 +88 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Definition** : Percentage of incidents resolved without recurrence within 30 days + * **Definition** :**** Percentage of incidents resolved without recurrence within 30 days @@ -90 +90 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Target** : 10% improvement through better root cause understanding + * **Target** :**** 10% improvement through better root cause understanding @@ -92 +92 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Calculation** : (Incidents with no recurrence / Total resolved incidents) × 100 + * **Calculation** :****(Incidents with no recurrence / Total resolved incidents) × 100 @@ -94 +94 @@ These metrics measure how quickly your team detects and resolves incidents when - * **Frequency** : Monthly tracking with 30-day lag + * **Frequency** :**** Monthly tracking with 30-day lag @@ -105 +105 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Definition** : Number of incidents that impact customer experience + * **Definition** :**** Number of incidents that impact customer experience @@ -107 +107 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Target** : 25% reduction within 9 months + * **Target** :**** 25% reduction within 9 months @@ -109 +109 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Measurement** : Count of incidents with customer impact classification + * **Measurement** :**** Count of incidents with customer impact classification @@ -111 +111 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Frequency** : Monthly tracking, quarterly business review + * **Frequency** :**** Monthly tracking, quarterly business review @@ -118 +118 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Definition** : Percentage uptime of critical application services + * **Definition** :**** Percentage uptime of critical application services @@ -120 +120 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Target** : Maintain or improve existing SLA commitments + * **Target** :**** Maintain or improve existing SLA commitments @@ -122 +122 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Calculation** : (Total uptime / Total time) × 100 + * **Calculation** :****(Total uptime / Total time) × 100 @@ -124 +124 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Frequency** : Real-time monitoring, monthly reporting + * **Frequency** :**** Real-time monitoring, monthly reporting @@ -131 +131 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Definition** : Customer satisfaction scores related to service reliability + * **Definition** :**** Customer satisfaction scores related to service reliability @@ -133 +133 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Target** : Maintain or improve baseline scores + * **Target** :**** Maintain or improve baseline scores @@ -135 +135 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Measurement** : Customer survey responses and support ticket sentiment + * **Measurement** :**** Customer survey responses and support ticket sentiment @@ -137 +137 @@ These metrics capture how effectively FMEA is protecting the end-user experience - * **Frequency** : Quarterly assessment + * **Frequency** :**** Quarterly assessment