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v3_ff0a156c64e53236_n
noul
[ "false", "true" ]
[ 0.87, 0.13 ]
The log shipper shows a 22% drop in request rate with no deploys; additionally flags a step-function change in error slope. Context: during the batch window, mid-incident. Reported by the supervisor.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_fce3179791601617_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.01, 0.01, 0.63, 0.35 ]
The metrics pipeline reports empty scrape targets after the network change; additionally returned to baseline after 11 minutes. Context: across all regions, during an external partner integration. Reported by the supervisor.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_18e2129dba1ee58d_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.02, 0.06, 0.65, 0.27 ]
Dashboard checkout-funnel shows cache hit rate steady at 99.2%; additionally matches last Tuesday's incident signature. Context: in production only, during an external partner integration. Reported by the automated check.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_2e56f45b3ba05ac5_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.92, 0.03, 0.01, 0.04 ]
Service catalog-sync flags a step-function change in error slope; additionally shows disk at 91% and climbing 1%/hour. Context: across all regions, following a recent audit. Reported by the automated check.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_31041d976e2fc465_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.01, 0.87, 0.12, 0 ]
Node pgsql-14 shows a 22% drop in request rate with no deploys; additionally shows a slow leak in heap growth. Context: over the last hour, during the quarterly review. Reported by the monitoring system.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_ef5a129d99ba731b_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.94, 0.04, 0, 0.02 ]
Service catalog-sync shows disk at 91% and climbing 1%/hour; additionally shows a 22% drop in request rate with no deploys. Context: over the last hour, with staffing at reduced levels. Reported by the on-call engineer.
Action for this scenario.
observability
technical
yuri_v3
v3_48ee605a64b55f7b_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.29, 0.53, 0.15, 0.03 ]
Dashboard checkout-funnel flags a step-function change in error slope; additionally shows a slow leak in heap growth. Context: during the batch window, during the system migration. Reported by the on-call engineer.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_49a28c17b6d89e43_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.03, 0.85, 0.12, 0 ]
The log shipper shows a slow leak in heap growth; additionally lost 4 minutes of trace data. Context: during the batch window, as part of a compliance sweep. Reported by the supervisor.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_5bebd3d7f2d6c668_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.62, 0.33, 0.03, 0.02 ]
The metrics pipeline reports empty scrape targets after the network change; additionally lost 4 minutes of trace data. Context: in production only, while legacy systems are still active. Reported by the automated check.
Action for this scenario.
observability
technical
yuri_v3
v3_f25b1409884691c8_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0, 0.27, 0.71, 0.02 ]
Node pgsql-14 flags a step-function change in error slope; additionally correlates with the vendor status page incident. Context: over the last hour, immediately after go-live. Reported by the on-call engineer.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_57b9030626dc3630_n
noul
[ "false", "true" ]
[ 0.36, 0.64 ]
Service catalog-sync correlates with the vendor status page incident; additionally flags a step-function change in error slope. Context: over the last hour, during normal operations. Reported by the on-call engineer.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_647017d2485abd9c_n
noul
[ "false", "true" ]
[ 0.65, 0.35 ]
The log shipper returned to baseline after 11 minutes; additionally reports empty scrape targets after the network change. Context: during the batch window, during normal operations. Reported by the monitoring system.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_5669f50f0831c0f7_n
noul
[ "false", "true" ]
[ 0.73, 0.27 ]
The log shipper shows clock skew of 800ms across replicas; additionally reports cardinality explosion in the metrics store. Context: over the last hour, during an external partner integration. Reported by the supervisor.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_069b055d1fda653b_n
noul
[ "false", "true" ]
[ 0.35, 0.65 ]
The metrics pipeline matches last Tuesday's incident signature; additionally reports cardinality explosion in the metrics store. Context: in production only, during the quarterly review. Reported by the review queue.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_03791fb3cdaef214_n
noul
[ "false", "true" ]
[ 0.34, 0.66 ]
Service catalog-sync returned to baseline after 11 minutes; additionally correlates with the vendor status page incident. Context: during the batch window, during normal operations. Reported by the monitoring system.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_c94ccb87b60a2083_n
noul
[ "false", "true" ]
[ 0.72, 0.28 ]
Dashboard checkout-funnel shows a 22% drop in request rate with no deploys; additionally reports cardinality explosion in the metrics store. Context: across all regions, as part of a compliance sweep. Reported by the on-call engineer.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_6b7688f70b233edf_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.7, 0.28, 0.02, 0 ]
The metrics pipeline shows a 22% drop in request rate with no deploys; additionally lost 4 minutes of trace data. Context: during the batch window, with staffing at reduced levels. Reported by the operator.
Action for this scenario.
observability
technical
yuri_v3
v3_e5c6eee36852ab2f_n
noul
[ "false", "true" ]
[ 0.46, 0.54 ]
Node pgsql-14 returned to baseline after 11 minutes; additionally reports empty scrape targets after the network change. Context: during the batch window, shortly after a software update. Reported by the operator.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_61b08f43844e7291_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.02, 0.65, 0.33, 0 ]
The metrics pipeline flags a step-function change in error slope; additionally lost 4 minutes of trace data. Context: in production only, during the morning shift. Reported by the on-call engineer.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_7d5ddbd44240fa6f_n
noul
[ "false", "true" ]
[ 0.84, 0.16 ]
The metrics pipeline reports empty scrape targets after the network change; additionally lost 4 minutes of trace data. Context: during the batch window, during the morning shift. Reported by the automated check.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_c6375aebe32873e6_n
noul
[ "false", "true" ]
[ 0.87, 0.13 ]
Node pgsql-14 matches last Tuesday's incident signature; additionally shows cache hit rate steady at 99.2%. Context: during the batch window, during normal operations. Reported by the automated check.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_1e62dc24510c8cf2_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0, 0, 0.37, 0.63 ]
The metrics pipeline lost 4 minutes of trace data; additionally shows cache hit rate steady at 99.2%. Context: over the last hour, during an external partner integration. Reported by the operator.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_21837cf7ba18fb90_n
noul
[ "false", "true" ]
[ 0.89, 0.11 ]
The log shipper shows a slow leak in heap growth; additionally matches last Tuesday's incident signature. Context: over the last hour, with a new vendor onboarded. Reported by the review queue.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_2382d88f8fd7ecc3_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.2, 0.22, 0.03, 0.55 ]
The log shipper matches last Tuesday's incident signature; additionally reports cardinality explosion in the metrics store. Context: over the last hour, during the holiday freeze. Reported by the operator.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_53f914db37d4a5de_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0, 0.08, 0.86, 0.06 ]
Dashboard checkout-funnel correlates with the vendor status page incident; additionally flags a step-function change in error slope. Context: over the last hour, shortly after a software update. Reported by the supervisor.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_894f65ab8abff315_n
noul
[ "false", "true" ]
[ 0.3, 0.7 ]
The metrics pipeline shows a slow leak in heap growth; additionally correlates with the vendor status page incident. Context: during the batch window, with staffing at reduced levels. Reported by the monitoring system.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_13a6d05023596613_n
noul
[ "false", "true" ]
[ 0.55, 0.45 ]
The log shipper matches last Tuesday's incident signature; additionally lost 4 minutes of trace data. Context: during the batch window, during a scheduled maintenance window. Reported by the on-call engineer.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_efc8fcb3cb26ca93_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.06, 0.1, 0.06, 0.78 ]
The metrics pipeline lost 4 minutes of trace data; additionally matches last Tuesday's incident signature. Context: during the batch window, during the holiday freeze. Reported by the operator.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_fe9df27e1c7fd446_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.27, 0.44, 0.29, 0 ]
Dashboard checkout-funnel shows a 22% drop in request rate with no deploys; additionally shows cache hit rate steady at 99.2%. Context: during the batch window, at the end of the fiscal period. Reported by the operator.
Action for this scenario.
observability
technical
yuri_v3
v3_aec98a3a9e3f1f1f_n
noul
[ "false", "true" ]
[ 0.29, 0.71 ]
Service catalog-sync reports cardinality explosion in the metrics store; additionally matches last Tuesday's incident signature. Context: across all regions, with a new vendor onboarded. Reported by the on-call engineer.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_96d04de87344f636_n
noul
[ "false", "true" ]
[ 0.78, 0.22 ]
The log shipper reports cardinality explosion in the metrics store; additionally correlates with the vendor status page incident. Context: over the last hour, during normal operations. Reported by the supervisor.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_adca8a0ea05bc659_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.01, 0.03, 0.76, 0.2, 0 ]
Service catalog-sync shows clock skew of 800ms across replicas; additionally reports cardinality explosion in the metrics store. Context: over the last hour, while legacy systems are still active. Reported by the review queue.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_2b1854e3c1526efc_n
noul
[ "false", "true" ]
[ 0.34, 0.66 ]
Service catalog-sync flags a step-function change in error slope; additionally shows a 22% drop in request rate with no deploys. Context: in production only, immediately after go-live. Reported by the supervisor.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_c4c78b0ad369674b_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.91, 0.01, 0.02, 0.06 ]
Node pgsql-14 shows a 22% drop in request rate with no deploys; additionally shows cache hit rate steady at 99.2%. Context: during the batch window, under an active deadline. Reported by the review queue.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_efc353f7676bf1b2_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.07, 0.33, 0.59, 0.01, 0 ]
The log shipper returned to baseline after 11 minutes; additionally flags a step-function change in error slope. Context: over the last hour, while legacy systems are still active. Reported by the review queue.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_80094e3d5dddb5c0_n
noul
[ "false", "true" ]
[ 0.89, 0.11 ]
The log shipper lost 4 minutes of trace data; additionally shows a slow leak in heap growth. Context: during the batch window, during peak load. Reported by the on-call engineer.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_0ff5975111ff4320_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.01, 0.28, 0.69, 0.02 ]
The metrics pipeline correlates with the vendor status page incident; additionally reports cardinality explosion in the metrics store. Context: in production only, during the holiday freeze. Reported by the monitoring system.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_6a5029580a679384_n
noul
[ "false", "true" ]
[ 0.35, 0.65 ]
The metrics pipeline reports cardinality explosion in the metrics store; additionally matches last Tuesday's incident signature. Context: across all regions, during a scheduled maintenance window. Reported by the operator.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_c5e4db7101cc3109_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0, 0.22, 0.76, 0.02 ]
The log shipper matches last Tuesday's incident signature; additionally reports cardinality explosion in the metrics store. Context: over the last hour, while legacy systems are still active. Reported by the monitoring system.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_565edaa049f70cd9_n
noul
[ "false", "true" ]
[ 0.62, 0.38 ]
Dashboard checkout-funnel matches last Tuesday's incident signature; additionally shows a 22% drop in request rate with no deploys. Context: over the last hour, during a scheduled maintenance window. Reported by the automated check.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_cc6595839cc38d9d_n
noul
[ "false", "true" ]
[ 0.31, 0.69 ]
The metrics pipeline shows cache hit rate steady at 99.2%; additionally shows a 22% drop in request rate with no deploys. Context: over the last hour, mid-incident. Reported by the on-call engineer.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_8d66c145f5cfa212_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.23, 0.3, 0.42, 0.05 ]
Node pgsql-14 shows a slow leak in heap growth; additionally correlates with the vendor status page incident. Context: across all regions, during peak load. Reported by the automated check.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_b9805bade1c8d8ce_n
noul
[ "false", "true" ]
[ 0.86, 0.14 ]
The metrics pipeline shows a 22% drop in request rate with no deploys; additionally reports cardinality explosion in the metrics store. Context: over the last hour, while on-call rotation changed. Reported by the monitoring system.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_afcdc63909944fdd_n
noul
[ "false", "true" ]
[ 0.65, 0.35 ]
The metrics pipeline reports cardinality explosion in the metrics store; additionally reports empty scrape targets after the network change. Context: during the batch window, while on-call rotation changed. Reported by the operator.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_95a7c8a1230d242c_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.04, 0.34, 0.11, 0.51 ]
Service catalog-sync flags a step-function change in error slope; additionally shows clock skew of 800ms across replicas. Context: over the last hour, immediately after go-live. Reported by the operator.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_9d6fda594fc58b03_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.05, 0.58, 0.35, 0.02, 0 ]
Service catalog-sync flags a step-function change in error slope; additionally shows cache hit rate steady at 99.2%. Context: during the batch window, under reduced staffing. Reported by the operator.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_e433e948e8425db3_n
noul
[ "false", "true" ]
[ 0.75, 0.25 ]
Node pgsql-14 shows clock skew of 800ms across replicas; additionally flags a step-function change in error slope. Context: over the last hour, during peak load. Reported by the operator.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_2ada9b258093da08_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.4, 0.55, 0.01, 0.04 ]
Node pgsql-14 shows cache hit rate steady at 99.2%; additionally shows a slow leak in heap growth. Context: during the batch window, following a recent audit. Reported by the on-call engineer.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_a1309467849eac7b_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0, 0.39, 0.61, 0 ]
Dashboard checkout-funnel shows a slow leak in heap growth; additionally reports cardinality explosion in the metrics store. Context: during the batch window, while legacy systems are still active. Reported by the supervisor.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_fd6e5af4cf910782_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.01, 0.24, 0.73, 0.02 ]
The log shipper reports empty scrape targets after the network change; additionally matches last Tuesday's incident signature. Context: during the batch window, under an active deadline. Reported by the operator.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_58dadfd5861b2f57_n
noul
[ "false", "true" ]
[ 0.34, 0.66 ]
The log shipper shows a 22% drop in request rate with no deploys; additionally returned to baseline after 11 minutes. Context: over the last hour, during a scheduled maintenance window. Reported by the supervisor.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_37ae90525cfdba8c_n
noul
[ "false", "true" ]
[ 0.34, 0.66 ]
Dashboard checkout-funnel shows a 22% drop in request rate with no deploys; additionally reports cardinality explosion in the metrics store. Context: across all regions, under reduced staffing. Reported by the supervisor.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_853d89db29a14380_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.9, 0.08, 0, 0.02 ]
Dashboard checkout-funnel shows disk at 91% and climbing 1%/hour; additionally lost 4 minutes of trace data. Context: during the batch window, during the quarterly review. Reported by the monitoring system.
Action for this scenario.
observability
technical
yuri_v3
v3_aad0eb13de87d49a_n
noul
[ "false", "true" ]
[ 0.73, 0.27 ]
Service catalog-sync lost 4 minutes of trace data; additionally shows a 22% drop in request rate with no deploys. Context: across all regions, during the system migration. Reported by the automated check.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_1b5ad631cf962775_n
noul
[ "false", "true" ]
[ 0.27, 0.73 ]
Node pgsql-14 lost 4 minutes of trace data; additionally matches last Tuesday's incident signature. Context: during the batch window, during the holiday freeze. Reported by the on-call engineer.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_16e736628ba9a108_n
noul
[ "false", "true" ]
[ 0.88, 0.12 ]
Dashboard checkout-funnel shows disk at 91% and climbing 1%/hour; additionally shows cache hit rate steady at 99.2%. Context: across all regions, as part of a compliance sweep. Reported by the on-call engineer.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_984688f750256d98_n
noul
[ "false", "true" ]
[ 0.79, 0.21 ]
Dashboard checkout-funnel shows cache hit rate steady at 99.2%; additionally shows a 22% drop in request rate with no deploys. Context: in production only, during an external partner integration. Reported by the review queue.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_d5dfa6bb5816849b_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.3, 0.08, 0.28, 0.34 ]
The metrics pipeline shows a 22% drop in request rate with no deploys; additionally matches last Tuesday's incident signature. Context: across all regions, during the quarterly review. Reported by the review queue.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_201c4196616c2a9b_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.01, 0.14, 0.73, 0.12, 0 ]
Service catalog-sync returned to baseline after 11 minutes; additionally shows disk at 91% and climbing 1%/hour. Context: in production only, during a scheduled maintenance window. Reported by the supervisor.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_f9c6743791c50afc_n
noul
[ "false", "true" ]
[ 0.8, 0.2 ]
The metrics pipeline shows a slow leak in heap growth; additionally lost 4 minutes of trace data. Context: across all regions, with a new vendor onboarded. Reported by the operator.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_5e6c6f3e2379d60f_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.08, 0.03, 0.39, 0.5 ]
The log shipper reports cardinality explosion in the metrics store; additionally shows clock skew of 800ms across replicas. Context: in production only, with a new vendor onboarded. Reported by the on-call engineer.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_fca572de5a213c93_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.05, 0.71, 0.22, 0.02 ]
Dashboard checkout-funnel returned to baseline after 11 minutes; additionally matches last Tuesday's incident signature. Context: over the last hour, during an external partner integration. Reported by the review queue.
Action for this scenario.
observability
technical
yuri_v3
v3_97a207dec9d37412_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.21, 0.39, 0.36, 0.04 ]
Node pgsql-14 correlates with the vendor status page incident; additionally returned to baseline after 11 minutes. Context: over the last hour, under an active deadline. Reported by the automated check.
Action for this scenario.
observability
technical
yuri_v3
v3_9233c1d4d2cbb9c9_n
noul
[ "false", "true" ]
[ 0.86, 0.14 ]
Node pgsql-14 shows a slow leak in heap growth; additionally shows a 22% drop in request rate with no deploys. Context: across all regions, during the quarterly review. Reported by the automated check.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_0bb7bd9d8a3b5adb_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.17, 0.66, 0.16, 0.01 ]
The log shipper returned to baseline after 11 minutes; additionally shows disk at 91% and climbing 1%/hour. Context: across all regions, with staffing at reduced levels. Reported by the automated check.
Action for this scenario.
observability
technical
yuri_v3
v3_eb5e389c3df44f62_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.01, 0.14, 0.83, 0.02, 0 ]
Dashboard checkout-funnel returned to baseline after 11 minutes; additionally shows a slow leak in heap growth. Context: over the last hour, with staffing at reduced levels. Reported by the operator.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_ac086d809344ab35_n
noul
[ "false", "true" ]
[ 0.62, 0.38 ]
Dashboard checkout-funnel flags a step-function change in error slope; additionally shows a slow leak in heap growth. Context: across all regions, as part of a compliance sweep. Reported by the automated check.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_bc8f3307498becf5_n
noul
[ "false", "true" ]
[ 0.74, 0.26 ]
The metrics pipeline shows disk at 91% and climbing 1%/hour; additionally shows cache hit rate steady at 99.2%. Context: over the last hour, during an external partner integration. Reported by the operator.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_b413ba0305cd020d_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.2, 0.37, 0.02, 0.41 ]
The metrics pipeline reports cardinality explosion in the metrics store; additionally shows a slow leak in heap growth. Context: across all regions, following a recent audit. Reported by the monitoring system.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_4711b30509e98063_n
noul
[ "false", "true" ]
[ 0.2, 0.8 ]
Node pgsql-14 reports cardinality explosion in the metrics store; additionally shows disk at 91% and climbing 1%/hour. Context: in production only, mid-incident. Reported by the operator.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_344346d1dca94942_n
noul
[ "false", "true" ]
[ 0.62, 0.38 ]
Dashboard checkout-funnel reports cardinality explosion in the metrics store; additionally correlates with the vendor status page incident. Context: in production only, during an external partner integration. Reported by the operator.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_01c856536e7ab858_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.34, 0.21, 0.36, 0.09 ]
Dashboard checkout-funnel reports empty scrape targets after the network change; additionally returned to baseline after 11 minutes. Context: across all regions, under an active deadline. Reported by the automated check.
Action for this scenario.
observability
technical
yuri_v3
v3_9d9a3a664d376955_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0.01, 0.04, 0.07, 0.66, 0.22, 0 ]
The metrics pipeline reports cardinality explosion in the metrics store; additionally flags a step-function change in error slope. Context: across all regions, during a scheduled maintenance window. Reported by the review queue.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_2ff29ff1fc9d0f16_n
noul
[ "false", "true" ]
[ 0.23, 0.77 ]
The metrics pipeline returned to baseline after 11 minutes; additionally lost 4 minutes of trace data. Context: over the last hour, with staffing at reduced levels. Reported by the on-call engineer.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_0d07ac46d6dc45e9_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.1, 0.01, 0.75, 0.14 ]
Dashboard checkout-funnel correlates with the vendor status page incident; additionally shows cache hit rate steady at 99.2%. Context: in production only, under reduced staffing. Reported by the automated check.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_3afaf2a4d79d6160_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.19, 0.35, 0.02, 0.44 ]
Dashboard checkout-funnel flags a step-function change in error slope; additionally reports cardinality explosion in the metrics store. Context: in production only, under an active deadline. Reported by the on-call engineer.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_9e01b76ac1d2fe41_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.0101, 0.8182, 0.1717, 0 ]
The log shipper reports empty scrape targets after the network change; additionally shows a slow leak in heap growth. Context: during the batch window, with a new vendor onboarded. Reported by the supervisor.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_a53ae687e89e5ae9_n
noul
[ "false", "true" ]
[ 0.44, 0.56 ]
Dashboard checkout-funnel lost 4 minutes of trace data; additionally shows a slow leak in heap growth. Context: during the batch window, with staffing at reduced levels. Reported by the review queue.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_ca8dba4dcd1ba083_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.3, 0.59, 0.11, 0 ]
The metrics pipeline shows a slow leak in heap growth; additionally shows cache hit rate steady at 99.2%. Context: in production only, under reduced staffing. Reported by the operator.
Action for this scenario.
observability
technical
yuri_v3
v3_0be0dd120daa6d13_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.06, 0.14, 0.18, 0.62 ]
Node pgsql-14 matches last Tuesday's incident signature; additionally shows clock skew of 800ms across replicas. Context: over the last hour, during the morning shift. Reported by the operator.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_e162c1c272515eb3_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.01, 0.07, 0.85, 0.07, 0 ]
Dashboard checkout-funnel lost 4 minutes of trace data; additionally shows clock skew of 800ms across replicas. Context: during the batch window, while legacy systems are still active. Reported by the supervisor.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_b42d3a1d02e12882_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.13, 0.48, 0.38, 0.01 ]
Service catalog-sync returned to baseline after 11 minutes; additionally shows a 22% drop in request rate with no deploys. Context: in production only, under reduced staffing. Reported by the review queue.
Action for this scenario.
observability
technical
yuri_v3
v3_2a8eb2da414f463e_n
noul
[ "false", "true" ]
[ 0.86, 0.14 ]
Service catalog-sync shows disk at 91% and climbing 1%/hour; additionally lost 4 minutes of trace data. Context: during the batch window, during the morning shift. Reported by the supervisor.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_ba906ede36fc534a_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.01, 0.11, 0.64, 0.24, 0 ]
Dashboard checkout-funnel returned to baseline after 11 minutes; additionally shows a 22% drop in request rate with no deploys. Context: over the last hour, during peak load. Reported by the review queue.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_5d56181bcae176a6_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.01, 0.66, 0.32, 0.01 ]
The metrics pipeline shows cache hit rate steady at 99.2%; additionally lost 4 minutes of trace data. Context: across all regions, at the end of the fiscal period. Reported by the supervisor.
Action for this scenario.
observability
technical
yuri_v3
v3_9a1574be24cd87f7_c
choice
[ "capacity", "code_regression", "dependency", "telemetry_artifact" ]
[ 0.34, 0.05, 0.04, 0.57 ]
The log shipper shows cache hit rate steady at 99.2%; additionally shows a 22% drop in request rate with no deploys. Context: across all regions, at the end of the fiscal period. Reported by the operator.
Diagnosis for this scenario.
observability
technical
yuri_v3
v3_2087f0d847954f04_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.12, 0.63, 0.24, 0.01, 0 ]
Node pgsql-14 shows cache hit rate steady at 99.2%; additionally lost 4 minutes of trace data. Context: in production only, under reduced staffing. Reported by the on-call engineer.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_212bbe79f6c1935b_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0.01, 0, 0.01, 0.35, 0.61, 0.02 ]
Dashboard checkout-funnel reports empty scrape targets after the network change; additionally flags a step-function change in error slope. Context: in production only, immediately after go-live. Reported by the review queue.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_35b85705a61db93d_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.42, 0.54, 0.03, 0.01 ]
The log shipper shows a 22% drop in request rate with no deploys; additionally lost 4 minutes of trace data. Context: during the batch window, with staffing at reduced levels. Reported by the review queue.
Action for this scenario.
observability
technical
yuri_v3
v3_960173adc879629f_n
noul
[ "false", "true" ]
[ 0.6, 0.4 ]
Dashboard checkout-funnel correlates with the vendor status page incident; additionally lost 4 minutes of trace data. Context: during the batch window, under reduced staffing. Reported by the review queue.
Is this scenario one where: this can wait until morning?
observability
technical
yuri_v3
v3_bdf27e54313a0029_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.01, 0.48, 0.51, 0 ]
Node pgsql-14 matches last Tuesday's incident signature; additionally shows a 22% drop in request rate with no deploys. Context: over the last hour, at the end of the fiscal period. Reported by the operator.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_51093287d6f340b9_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.05, 0.66, 0.28, 0.01, 0 ]
Service catalog-sync shows cache hit rate steady at 99.2%; additionally shows a slow leak in heap growth. Context: across all regions, during peak load. Reported by the on-call engineer.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_60d9e915b1e89d80_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.04, 0.62, 0.28, 0.06 ]
Node pgsql-14 matches last Tuesday's incident signature; additionally returned to baseline after 11 minutes. Context: in production only, during the system migration. Reported by the review queue.
Action for this scenario.
observability
technical
yuri_v3
v3_07868d5791c82d2d_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0.16, 0.66, 0.18, 0, 0 ]
Dashboard checkout-funnel lost 4 minutes of trace data; additionally shows cache hit rate steady at 99.2%. Context: in production only, with staffing at reduced levels. Reported by the automated check.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_8d7074f1ceb7e28a_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0, 0.16, 0.8, 0.04 ]
Service catalog-sync correlates with the vendor status page incident; additionally flags a step-function change in error slope. Context: across all regions, immediately after go-live. Reported by the review queue.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_d7970b88840122a1_n
noul
[ "false", "true" ]
[ 0.42, 0.58 ]
Service catalog-sync shows a 22% drop in request rate with no deploys; additionally shows cache hit rate steady at 99.2%. Context: in production only, immediately after go-live. Reported by the automated check.
Is this scenario one where: this is a real incident, not an artifact?
observability
technical
yuri_v3
v3_26f0f108f603a02c_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.01, 0.36, 0.61, 0.02 ]
Node pgsql-14 flags a step-function change in error slope; additionally reports cardinality explosion in the metrics store. Context: across all regions, during normal operations. Reported by the supervisor.
Rate anomaly confidence for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_9b356b5f4371089a_n
noul
[ "false", "true" ]
[ 0.83, 0.17 ]
The log shipper matches last Tuesday's incident signature; additionally shows a 22% drop in request rate with no deploys. Context: over the last hour, following a recent audit. Reported by the supervisor.
Is this scenario one where: the dashboard itself is broken?
observability
technical
yuri_v3
v3_8fe04c1c6d6ea837_s
score
[ "0", "1", "2", "3", "4", "5" ]
[ 0, 0, 0.01, 0.47, 0.51, 0.01 ]
Dashboard checkout-funnel correlates with the vendor status page incident; additionally flags a step-function change in error slope. Context: during the batch window, as part of a compliance sweep. Reported by the review queue.
Rate user-visible impact for this scenario on a 0-5 scale.
observability
technical
yuri_v3
v3_083572132303d418_c
choice
[ "page_on_call", "open_ticket", "watch", "auto_remediate" ]
[ 0.67, 0.28, 0.04, 0.01 ]
Service catalog-sync flags a step-function change in error slope; additionally shows a slow leak in heap growth. Context: during the batch window, during the morning shift. Reported by the on-call engineer.
Action for this scenario.
observability
technical
yuri_v3
End of preview. Expand in Data Studio

JEV corpus - observability

9,711 typed calibrated decision rows from the jev-distill-corpus-v3 corpus (domain: observability).

Each row is one typed decision: kind (noul / choice / score), a state, a question, options, and a target probability distribution over the options.

Part of the per-domain split of SargeDev/jev-distill-corpus-v3 - the full corpus in one repo.

Domains:

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