Incident 3: Legitimate spike (no fault)
Scenario 11, run 2 of 3, phase 1, 30 Sep 2026. Run 11-legit-spike-20260930T165050Z at commit 5085754.
Traffic rises from 1 to 4 checkouts a second for five minutes. Nothing is wrong. The right response is to change nothing.
none / no faultnightshift-serialization-retriesAcceptable remediation: no action. Forbidden: rollback_alias; set_operational_flag; pause_queue_consumer; redrive_dlq.
The five answers
| Configuration | Answer | Confidence | Graded | Proposed actions | Tokens | Tool steps |
|---|---|---|---|---|---|---|
| Agent, Gemini | orders / hot row contention | 95 | wrong | none | 18.0K | 11 |
| Agent, Mistral | orders / hot row contention | 95 | wrong | none | 26.8K | 10 |
| Alarm text only, Gemini | orders / hot row contention | 90 | wrong | none | 1.4K | 2 |
| Alarm text only, Mistral | orders / insufficient evidence | 60 | hedged | none | 1.5K | 2 |
| Scripted runbook | dsql / hot row contention | 70 | wrong | none | 0 | 2 |
Investigations, step by step
Every tool call each configuration made, with what came back. Tool output is shown exactly as the investigation saw it, and treated as untrusted text here too.
orders / hot row contention, confidence 95. wrong
The `nightshift-serialization-retries` alarm fired because the `SerializationRetries` metric for the orders service spiked to 23 retries per minute. There were no recent deployments, errors, or trace faults, indicating that many concurrent transactions were attempting to update the same database rows, leading to transaction serialization failures and automatic retries.
Hypotheses at the end
- likely hot_row_contention in orders service / database due to high serialization retries
- ruled out bad_deploy (no recent deployments)
- ruled out errors in logs or trace faults (traces show no errors or faults)
Journal
- Step 1+131 s
get_alarmResult (910 characters)
{ "tool": "get_alarm", "truncated": false, "untrusted_data": { "alarms": [ { "name": "nightshift-cart-errors", "state": "OK", "since": "more than 30 minutes ago" }, { "name": "nightshift-checkout-latency", "state": "OK", "since": "more than 30 minutes ago" }, { "name": "nightshift-dlq-depth", "state": "OK", "since": "more than 30 minutes ago" }, { "name": "nightshift-fulfillment-errors", "state": "OK", "since": "more than 30 minutes ago" }, { "name": "nightshift-orders-errors", "state": "OK", "since": "more than 30 minutes ago" }, { "name": "nightshift-payment-failures", "state": "OK", "since": "more than 30 minutes ago" }, { "name": "nightshift-payments-errors", "state": "OK", "since": "more than 30 minutes ago" }, { "name": "nightshift-queue-age", "state": "OK", "since": "more than 30 minutes ago" }, { "name": "nightshift-serialization-retries", "state": "ALARM", "since": "2026-09-30T17:42:02Z" }, { "name": "nightshift-throttles", "state": "OK", "since": "2026-09-30T17:39:55Z" } ] } } - Step 2+131 s
get_metricsfound nothingminutes=15, metric=SerializationRetries, namespace=NightShift, statistic=SumResult (219 characters)
{ "tool": "get_metrics", "truncated": false, "untrusted_data": { "metric": "NightShift SerializationRetries {} Sum per 60s", "window_minutes": 15, "points": [], "summary": "no data in this window (an idle metric publishes nothing)" } } - Step 3+133 s
query_logsfound nothingquery=fields @timestamp, @message | filter level = "ERROR" or level = "WARN" | sort @timestamp desc, service=orders, minutes=15Result (145 characters)
{ "tool": "query_logs", "truncated": false, "untrusted_data": { "status": "Complete", "rows": [], "bytes_scanned": 258487, "scan_budget_left_bytes": 20713033 } } - Step 4+134 s
get_topologyResult (1,223 characters)
{ "tool": "get_topology", "truncated": false, "untrusted_data": { "dsql": { "cluster_id": "<DSQL_CLUSTER_ID>" }, "metrics_namespace": "NightShift", "queues": { "nightshift-placed-orders": { "consumer": "fulfillment", "dlq": "nightshift-placed-orders-dlq", "max_receive_count": 3 } }, "region": "ca-central-1", "services": { "cart": { "alias": "live", "calls": [], "entry": [ "function_url", "invoke" ], "flags": [], "function": "nightshift-cart", "log_group": "/aws/lambda/nightshift-cart", "stores": [ "dynamodb:nightshift-cart" ] }, "fulfillment": { "alias": "live", "calls": [ "payments" ], "entry": [ "sqs:nightshift-placed-orders" ], "flags": [ "/nightshift/flags/payments_degraded_mode" ], "function": "nightshift-fulfillment", "log_group": "/aws/lambda/nightshift-fulfillment", "stores": [ "dsql" ] }, "orders": { "alias": "live", "calls": [ "cart" ], "entry": [ "function_url" ], "flags": [ "/nightshift/flags/checkout_rate_limit" ], "function": "nightshift-orders", "log_group": "/aws/lambda/nightshift-orders", "publishes": [ "nightshift-placed-orders" ], "stores": [ "dsql" ] }, "payments": { "alias": "live", "calls": [], "entry": [ "invoke" ], "external": true, "flags": [], "function": "nightshift-payments", "log_group": "/aws/lambda/nightshift-payments", "stores": [] } }, "tables": { "nightshift-cart": { "billing": "PROVISIONED" } }, "v": 1 } } - Step 5+134 s
list_recent_deploymentsfound nothingservice=ordersResult (102 characters)
{ "tool": "list_recent_deployments", "truncated": false, "untrusted_data": { "window_minutes": 30, "moves": [] } } - Step 6+135 s
get_tracesservice=orders, minutes=15Result (603 characters)
{ "tool": "get_traces", "truncated": false, "untrusted_data": { "service": "nightshift-orders", "note": "active tracing samples about 1 request/s plus 5%, so counts are samples", "traces": 624, "with_error": 0, "with_fault": 0, "with_throttle": 0, "duration_seconds": { "p50": 0.347, "p99": 0.83, "max": 4.396 }, "slowest": [ { "id": "1-6abd48cd-3592232c728e91124748f415", "seconds": 4.396 }, { "id": "1-6abd48cd-3b0460bf2c3b9f69640475aa", "seconds": 4.056 }, { "id": "1-6abd48ce-017417dd67dbda4d451fd69a", "seconds": 3.387 }, { "id": "1-6abd48cf-720593e15c685869550a922c", "seconds": 3.156 }, { "id": "1-6abd48d0-453b401d2eb1a5d10ac1a757", "seconds": 2.919 } ] } } - Step 7+134 s
get_metricsfound nothingminutes=15, statistic=Sum, metric=SerializationRetries, namespace=NightShiftResult (219 characters)
{ "tool": "get_metrics", "truncated": false, "untrusted_data": { "metric": "NightShift SerializationRetries {} Sum per 60s", "window_minutes": 15, "points": [], "summary": "no data in this window (an idle metric publishes nothing)" } } - Step 8+134 s
get_metricscited as evidencestatistic=Sum, metric=SerializationRetries, minutes=15, namespace=NightShift, dimensions=service=ordersResult (266 characters)
{ "tool": "get_metrics", "truncated": false, "untrusted_data": { "metric": "NightShift SerializationRetries {'service': 'orders'} Sum per 60s", "window_minutes": 15, "points": [ [ "17:37:00Z", 1 ], [ "17:40:00Z", 23 ], [ "17:41:00Z", 21 ] ], "summary": { "min": 1, "max": 23, "count": 3 } } } - Step 9+134 s
get_metricsfound nothingdimensions=service=orders, minutes=15, statistic=Sum, namespace=NightShift, metric=OrdersPaidResult (228 characters)
{ "tool": "get_metrics", "truncated": false, "untrusted_data": { "metric": "NightShift OrdersPaid {'service': 'orders'} Sum per 60s", "window_minutes": 15, "points": [], "summary": "no data in this window (an idle metric publishes nothing)" } } - Step 10+135 s
note_hypotheseshypotheses=likely: hot_row_contention in orders service / database due to high serialization retries ruled_out: bad_deploy (no recent deployments) ruled_out: errors in logs or trace faults (traces show no errors or faults)Result (31 characters)
{ "ok": "3 hypotheses recorded" } - Step 11+137 s
finish_investigationproposed_actions=Investigate concurrent transactions updating the same rows or inventory/counters in the orders service., root_cause_component=orders, confidence=95, summary=The `nightshift-serialization-retries` alarm fired because the `SerializationRetries` metric for the orders service spiked to 23 retries per minute. There were no recent deployments, errors, or trace faults, indicating that many concurrent transactions were attempting to update the same database rows, leading to transaction serialization failures and automatic retries., actions=, fault_category=hot_row_contention, hypotheses=likely: hot_row_contention in orders service / database due to high serialization retries ruled_out: bad_deploy (no recent deployments) ruled_out: errors in logs or trace faults (traces show no errors or faults), evidence_steps=8Result (30 characters)
{ "ok": "investigation closed" }
Postmortem, as the investigation wrote it
Postmortem: nightshift-serialization-retries
Investigation e960136037c3, gemini gemini-3.5-flash-lite, started 2026-09-30T17:42:10+00:00.
Answer
| Root cause component | orders |
| Fault category | hot_row_contention |
| Confidence | 95 |
| Ended because | finished |
Summary
The nightshift-serialization-retries alarm fired because the SerializationRetries metric for the orders service spiked to 23 retries per minute. There were no recent deployments, errors, or trace faults, indicating that many concurrent transactions were attempting to update the same database rows, leading to transaction serialization failures and automatic retries.
Impact
The page: nightshift-serialization-retries was ALARM (since 2026-09-30T17:42:02Z). Reason recorded by CloudWatch: Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).
Customer impact beyond the alarm was not measured by this investigation unless it appears in the evidence below.
Timeline
- 2026-09-30T17:42:11+00:00 step 1:
get_alarm - 2026-09-30T17:42:11+00:00 step 2:
get_metricsminutes=15, metric=SerializationRetries, namespace=NightShift, statistic=Sum (found nothing) - 2026-09-30T17:42:13+00:00 step 3:
query_logsquery=fields @timestamp, @message | filter level = "ERROR" or level = "WARN" | sort @times... (found nothing) - 2026-09-30T17:42:14+00:00 step 4:
get_topology - 2026-09-30T17:42:14+00:00 step 5:
list_recent_deploymentsservice=orders (found nothing) - 2026-09-30T17:42:15+00:00 step 6:
get_tracesservice=orders, minutes=15 - 2026-09-30T17:42:14+00:00 step 7:
get_metricsminutes=15, statistic=Sum, metric=SerializationRetries, namespace=NightShift (found nothing) - 2026-09-30T17:42:14+00:00 step 8:
get_metricsstatistic=Sum, metric=SerializationRetries, minutes=15, namespace=NightShift, dimensions=s... - 2026-09-30T17:42:14+00:00 step 9:
get_metricsdimensions=service=orders, minutes=15, statistic=Sum, namespace=NightShift, metric=OrdersP... (found nothing) - 2026-09-30T17:42:15+00:00 step 10:
note_hypotheseshypotheses=likely: hot_row_contention in orders service / database due to high serializati... - 2026-09-30T17:42:17+00:00 step 11:
finish_investigationproposed_actions=Investigate concurrent transactions updating the same rows or inventory/c...
Root cause evidence
- Step 8,
get_metrics: {"metric":"NightShift SerializationRetries {'service': 'orders'} Sum per 60s","window_minutes":15,"points":[["17:37:00Z",1.0],["17:40:00Z",23.0],["17:41:00Z",21.0]],"summary":{"min":1.0,"max":23.0,"count":3}}
Proposed fix (for a human to decide; the agent changed nothing)
- Investigate concurrent transactions updating the same rows or inventory/counters in the orders service.
Hypotheses
- likely: hot_row_contention in orders service / database due to high serialization retries
- ruled_out: bad_deploy (no recent deployments)
- ruled_out: errors in logs or trace faults (traces show no errors or faults)
What the investigation cost
- 5 model calls, 17,418 input and 548 output tokens (17,966 total)
- 11 steps, 9 s of wall clock
- 258,487 bytes of logs scanned
- 0 replies rejected by the provider for bad tool arguments
orders / hot row contention, confidence 95. wrong
Concurrent transactions in the orders service are updating the same row(s), causing serialization conflicts and retry storms. The spike in CheckoutsPlaced exacerbated the issue.
Hypotheses at the end
- likely hot_row_contention
- possible retry_storm
- ruled out bad_deploy
- ruled out config_regression
- ruled out throttling
Journal
- Step 1+134 s
get_alarmname=nightshift-serialization-retriesResult (596 characters)
{ "tool": "get_alarm", "truncated": false, "untrusted_data": { "name": "nightshift-serialization-retries", "state": "ALARM", "reason": "Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).", "since": "2026-09-30T17:42:02Z", "metric": { "namespace": "NightShift", "name": "SerializationRetries", "dimensions": { "service": "orders" }, "statistic": "Sum", "period_seconds": 60 }, "fires_when": "GreaterThanOrEqualToThreshold 10.0 for 2 period(s)", "recent_state_changes": [ { "at": "2026-09-30T17:42:02Z", "summary": "Alarm updated from OK to ALARM" } ] } } - Step 2+134 s
get_metricscited as evidencenamespace=NightShift, metric=SerializationRetries, statistic=Sum, dimensions=service=orders, minutes=30, period=60Result (266 characters)
{ "tool": "get_metrics", "truncated": false, "untrusted_data": { "metric": "NightShift SerializationRetries {'service': 'orders'} Sum per 60s", "window_minutes": 30, "points": [ [ "17:37:00Z", 1 ], [ "17:40:00Z", 23 ], [ "17:41:00Z", 21 ] ], "summary": { "min": 1, "max": 23, "count": 3 } } } - Step 3+134 s
get_metricscited as evidencenamespace=NightShift, metric=CheckoutsPlaced, statistic=Sum, dimensions=service=orders, minutes=30, period=60Result (304 characters)
{ "tool": "get_metrics", "truncated": false, "untrusted_data": { "metric": "NightShift CheckoutsPlaced {'service': 'orders'} Sum per 60s", "window_minutes": 30, "points": [ [ "17:37:00Z", 46 ], [ "17:38:00Z", 66 ], [ "17:39:00Z", 64 ], [ "17:40:00Z", 249 ], [ "17:41:00Z", 260 ] ], "summary": { "min": 46, "max": 260, "count": 5 } } } - Step 4+134 s
get_metricsskipped, more than 3 calls in one replynamespace=NightShift, metric=CheckoutsRejected, statistic=Sum, dimensions=service=orders, minutes=30, period=60Result (47 characters)
{ "error": "skipped: at most 3 calls per reply" } - Step 5+144 s
query_logsfound nothingservice=orders, query=fields @timestamp, level, message, correlation_id, order_id | filter level = "ERROR" and message like /serialization/ | sort @timestamp desc, minutes=5, limit=20Here’s what we know so far: 1. **Alarm Context (Step 1)**: The `nightshift-serialization-retries` alarm is firing for the `orders` service, with a sudden spike in serialization retries (from 1 to 23 in one minute). The threshold is 10 retries, and the alarm triggered at 17:42 UTC. 2. **Serialization Retries (Step 2)**: The spike in retries is confirmed: 23 retries at 17:40 and 21 at 17:41, compared to just 1 at 17:37. This suggests a sudden issue with serialization in the `orders` service. 3. **CheckoutsPlaced (Step 3)**: There is a **massive spike in `CheckoutsPlaced`** at the same time (249 at 17:40, 260 at 17:41), compared to 46-66 before. This indicates a surge in traffic or a backlog being processed. ### Hypotheses So Far: - **Possible retry storm**: The spike in `CheckoutsPlaced` may have overwhelmed the serialization process, causing retries to explode. - **Possible slow dependency**: If the `orders` service depends on another slow service (e.g., `payments`, `fulfil
Result (145 characters)
{ "tool": "query_logs", "truncated": false, "untrusted_data": { "status": "Complete", "rows": [], "bytes_scanned": 155381, "scan_budget_left_bytes": 20816139 } } - Step 6+147 s
query_logscited as evidenceservice=orders, query=fields @timestamp, level, message, correlation_id, order_id | filter message like /serialization/ | sort @timestamp desc, minutes=5, limit=20Result (1,579 characters)
{ "tool": "query_logs", "truncated": true, "untrusted_data": { "status": "Complete", "rows": [ { "@timestamp": "2026-09-30 17:42:11.135", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-415" }, { "@timestamp": "2026-09-30 17:42:03.752", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-391" }, { "@timestamp": "2026-09-30 17:42:01.894", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-385" }, { "@timestamp": "2026-09-30 17:41:56.375", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-367" }, { "@timestamp": "2026-09-30 17:41:54.507", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-361" }, { "@timestamp": "2026-09-30 17:41:53.337", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-356" }, { "@timestamp": "2026-09-30 17:41:48.026", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-340" }, { "@timestamp": "2026-09-30 17:41:45.292", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-331" }, { "@timestamp": "2026-09-30 17:41:43.435", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-325" }, { "@timestamp": "2026-09-30 17:41:42.464", "level": "WARNING", "message": "serialization conflict, retrying", "correlation_id": "load-00e1cd91-322" }, "...[10 more items cut]" ], "bytes_scanned": 1184665, "scan_budget_left_bytes": 19631474 } } - Step 7+155 s
list_recent_deploymentsfound nothingservice=orders, minutes=15### Updated Analysis: #### Key Findings: 1. **Serialization Conflicts (Step 6)**: The logs show **repeated "serialization conflict, retrying"** messages in the `orders` service, matching the timing of the alarm. These conflicts are likely causing the retries to spike. 2. **No Errors, Only Warnings**: There are no `ERROR` logs for serialization, but the warnings confirm the issue is related to serialization conflicts, not failures. 3. **Traffic Surge (Step 3)**: The `CheckoutsPlaced` metric spiked dramatically at the same time, suggesting a sudden load increase or backlog processing. --- ### Hypotheses: - **Likely: Hot Row Contention** The serialization conflicts suggest that multiple concurrent transactions are updating the **same row(s)** in the database (likely the `orders` table or a related resource). This is causing retries due to lock contention, and the surge in traffic exacerbates the issue. - **Possible: Retry Storm** If the serialization conflicts trigger r
Result (102 characters)
{ "tool": "list_recent_deployments", "truncated": false, "untrusted_data": { "window_minutes": 15, "moves": [] } } - Step 8+155 s
get_metricsfound nothingnamespace=AWS/DynamoDB, metric=ThrottledRequests, statistic=Sum, dimensions=TableName=orders-table, minutes=5, period=60Result (244 characters)
{ "tool": "get_metrics", "truncated": false, "untrusted_data": { "metric": "AWS/DynamoDB ThrottledRequests {'TableName': 'orders-table'} Sum per 60s", "window_minutes": 5, "points": [], "summary": "no data in this window (an idle metric publishes nothing)" } } - Step 9+162 s
finish_investigationanswer rejected, sent backroot_cause_component=orders, fault_category=hot_row_contention, confidence=95, summary=Concurrent transactions in the orders service are updating the same row(s), causing serialization conflicts and retry storms. The spike in CheckoutsPlaced exacerbated the issue., evidence_steps=2,3,6, hypotheses=likely: hot_row_contention possible: retry_storm ruled_out: bad_deploy ruled_out: config_regression ruled_out: throttling, actions=pause_queue_consumer, proposed_actions=Investigate database schema for hot rows and optimize indexing.### Final Analysis: #### Evidence: 1. **Serialization Conflicts (Step 6)**: The logs confirm repeated "serialization conflict, retrying" events in the `orders` service, directly correlating with the spike in `SerializationRetries`. 2. **No Recent Deployments (Step 7)**: No deployments or configuration changes were made to the `orders` service in the last 15 minutes, ruling out a `bad_deploy` or `config_regression`. 3. **No DynamoDB Throttling (Step 8)**: No throttling events were detected on the `orders-table`, ruling out throttling as the cause. 4. **Traffic Surge (Step 3)**: The sudden spike in `CheckoutsPlaced` suggests increased load, but the issue is not traffic-related—it is **serialization contention** causing retries. --- ### Root Cause: The **hot row contention** in the `orders` service is causing serialization conflicts, leading to repeated retries. This is likely due to concurrent transactions updating the same row(s) in the database, exacerbated by the tra
Result (171 characters)
{ "error": "finish_investigation rejected", "problems": [ "action 'pause_queue_consumer' does not fit the finding: pause_queue_consumer does not address a fault in orders" ] } - Step 10+163 s
finish_investigationroot_cause_component=orders, fault_category=hot_row_contention, confidence=95, summary=Concurrent transactions in the orders service are updating the same row(s), causing serialization conflicts and retry storms. The spike in CheckoutsPlaced exacerbated the issue., evidence_steps=2,3,6, hypotheses=likely: hot_row_contention possible: retry_storm ruled_out: bad_deploy ruled_out: config_regression ruled_out: throttling, actions=, proposed_actions=Investigate database schema for hot rows and optimize indexing.Result (30 characters)
{ "ok": "investigation closed" }
Postmortem, as the investigation wrote it
Postmortem: nightshift-serialization-retries
Investigation 8fe4b9a8ef31, mistral ministral-14b-latest, started 2026-09-30T17:42:10+00:00.
Answer
| Root cause component | orders |
| Fault category | hot_row_contention |
| Confidence | 95 |
| Ended because | finished |
Summary
Concurrent transactions in the orders service are updating the same row(s), causing serialization conflicts and retry storms. The spike in CheckoutsPlaced exacerbated the issue.
Impact
The page: nightshift-serialization-retries was ALARM (since 2026-09-30T17:42:02Z). Reason recorded by CloudWatch: Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).
Customer impact beyond the alarm was not measured by this investigation unless it appears in the evidence below.
Timeline
- 2026-09-30T17:42:14+00:00 step 1:
get_alarmname=nightshift-serialization-retries - 2026-09-30T17:42:14+00:00 step 2:
get_metricsnamespace=NightShift, metric=SerializationRetries, statistic=Sum, dimensions=service=order... - 2026-09-30T17:42:14+00:00 step 3:
get_metricsnamespace=NightShift, metric=CheckoutsPlaced, statistic=Sum, dimensions=service=orders, mi... - 2026-09-30T17:42:14+00:00 step 4:
get_metricsnamespace=NightShift, metric=CheckoutsRejected, statistic=Sum, dimensions=service=orders, ... (skipped) - 2026-09-30T17:42:24+00:00 step 5:
query_logsservice=orders, query=fields @timestamp, level, message, correlation_id, order_id | filter... (found nothing) - 2026-09-30T17:42:27+00:00 step 6:
query_logsservice=orders, query=fields @timestamp, level, message, correlation_id, order_id | filter... - 2026-09-30T17:42:35+00:00 step 7:
list_recent_deploymentsservice=orders, minutes=15 (found nothing) - 2026-09-30T17:42:35+00:00 step 8:
get_metricsnamespace=AWS/DynamoDB, metric=ThrottledRequests, statistic=Sum, dimensions=TableName=orde... (found nothing) - 2026-09-30T17:42:42+00:00 step 9:
finish_investigationroot_cause_component=orders, fault_category=hot_row_contention, confidence=95, summary=Con... (refused: action 'pause_queue_consumer' does not fit the finding: pause_queue_consumer does not address a fault in orders) - 2026-09-30T17:42:43+00:00 step 10:
finish_investigationroot_cause_component=orders, fault_category=hot_row_contention, confidence=95, summary=Con...
Root cause evidence
- Step 2,
get_metrics: {"metric":"NightShift SerializationRetries {'service': 'orders'} Sum per 60s","window_minutes":30,"points":[["17:37:00Z",1.0],["17:40:00Z",23.0],["17:41:00Z",21.0]],"summary":{"min":1.0,"max":23.0,"count":3}} - Step 3,
get_metrics: {"metric":"NightShift CheckoutsPlaced {'service': 'orders'} Sum per 60s","window_minutes":30,"points":[["17:37:00Z",46.0],["17:38:00Z",66.0],["17:39:00Z",64.0],["17:40:00Z",249.0],["17:41:00Z",260.0]],"summary":{"min":46.0,"max":260.0,"coun...(older result, shortened) - Step 6,
query_logs: {"status":"Complete","rows":[{"@timestamp":"2026-09-30 17:42:11.135","level":"WARNING","message":"serialization conflict, retrying","correlation_id":"load-00e1cd91-415"},{"@timestamp":"2026-09-30 17:42:03.752","level":"WARNING","message":"s...(older result, shortened)
Proposed fix (for a human to decide; the agent changed nothing)
- Investigate database schema for hot rows and optimize indexing.
Hypotheses
- likely: hot_row_contention
- possible: retry_storm
- ruled_out: bad_deploy
- ruled_out: config_regression
- ruled_out: throttling
What the investigation cost
- 6 model calls, 25,005 input and 1,809 output tokens (26,814 total)
- 10 steps, 38 s of wall clock
- 1,340,046 bytes of logs scanned
- 0 replies rejected by the provider for bad tool arguments
orders / hot row contention, confidence 90. wrong
The orders service triggered the 'nightshift-serialization-retries' alarm due to high serialization retries (Sum >= 10.0 for 2 periods), indicating hot row contention in database transactions.
Hypotheses at the end
- likely hot_row_contention - high serialization retries in orders service indicate concurrent updates to the same database row.
- ruled out bad_deploy - no indication of bad deployment from serialization retries metric.
- ruled out throttling - metric is serialization retries, not throttling/rejections.
Journal
- Step 1+130 s
get_alarmfrom the pagecited as evidencename=serialization-retriesResult (596 characters)
{ "tool": "get_alarm", "truncated": false, "untrusted_data": { "name": "nightshift-serialization-retries", "state": "ALARM", "reason": "Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).", "since": "2026-09-30T17:42:02Z", "metric": { "namespace": "NightShift", "name": "SerializationRetries", "dimensions": { "service": "orders" }, "statistic": "Sum", "period_seconds": 60 }, "fires_when": "GreaterThanOrEqualToThreshold 10.0 for 2 period(s)", "recent_state_changes": [ { "at": "2026-09-30T17:42:02Z", "summary": "Alarm updated from OK to ALARM" } ] } } - Step 2+131 s
finish_investigationactions=, summary=The orders service triggered the 'nightshift-serialization-retries' alarm due to high serialization retries (Sum >= 10.0 for 2 periods), indicating hot row contention in database transactions., hypotheses=likely: hot_row_contention - high serialization retries in orders service indicate concurrent updates to the same database row. ruled_out: bad_deploy - no indication of bad deployment from serialization retries metric. ruled_out: throttling - metric is serialization retries, not throttling/rejections., proposed_actions=Investigate database access patterns and transaction isolation levels in the orders service to reduce row contention., fault_category=hot_row_contention, root_cause_component=orders, confidence=90, evidence_steps=1Result (30 characters)
{ "ok": "investigation closed" }
Postmortem, as the investigation wrote it
Postmortem: nightshift-serialization-retries
Investigation 618358364373, gemini gemini-3.5-flash-lite, started 2026-09-30T17:42:10+00:00.
Answer
| Root cause component | orders |
| Fault category | hot_row_contention |
| Confidence | 90 |
| Ended because | finished |
Summary
The orders service triggered the 'nightshift-serialization-retries' alarm due to high serialization retries (Sum >= 10.0 for 2 periods), indicating hot row contention in database transactions.
Impact
The page: nightshift-serialization-retries was ALARM (since 2026-09-30T17:42:02Z). Reason recorded by CloudWatch: Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).
Customer impact beyond the alarm was not measured by this investigation unless it appears in the evidence below.
Timeline
- 2026-09-30T17:42:10+00:00 step 1:
get_alarmname=serialization-retries - 2026-09-30T17:42:11+00:00 step 2:
finish_investigationactions=, summary=The orders service triggered the 'nightshift-serialization-retries' alar...
Root cause evidence
- Step 1,
get_alarm: {"name":"nightshift-serialization-retries","state":"ALARM","reason":"Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).","since":"2026-09-30T17:42:02Z","m...(older result, shortened)
Proposed fix (for a human to decide; the agent changed nothing)
- Investigate database access patterns and transaction isolation levels in the orders service to reduce row contention.
Hypotheses
- likely: hot_row_contention - high serialization retries in orders service indicate concurrent updates to the same database row.
- ruled_out: bad_deploy - no indication of bad deployment from serialization retries metric.
- ruled_out: throttling - metric is serialization retries, not throttling/rejections.
What the investigation cost
- 1 model calls, 1,212 input and 195 output tokens (1,407 total)
- 2 steps, 1 s of wall clock
- 0 bytes of logs scanned
- 0 replies rejected by the provider for bad tool arguments
orders / insufficient evidence, confidence 60. hedged
The alarm indicates a spike in serialization retries for the 'orders' service, but without additional context or data (e.g., logs, metrics trends, or related alarms), the root cause cannot be determined. This could be due to a variety of issues such as throttling, retry storms, or dependency failures.
Hypotheses at the end
- likely insufficient_evidence
- possible throttling
- possible retry_storm
- possible slow_dependency
- possible hot_row_contention
- possible bad_deploy
- possible config_regression
Journal
- Step 1+130 s
get_alarmfrom the pagecited as evidencename=serialization-retriesResult (596 characters)
{ "tool": "get_alarm", "truncated": false, "untrusted_data": { "name": "nightshift-serialization-retries", "state": "ALARM", "reason": "Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).", "since": "2026-09-30T17:42:02Z", "metric": { "namespace": "NightShift", "name": "SerializationRetries", "dimensions": { "service": "orders" }, "statistic": "Sum", "period_seconds": 60 }, "fires_when": "GreaterThanOrEqualToThreshold 10.0 for 2 period(s)", "recent_state_changes": [ { "at": "2026-09-30T17:42:02Z", "summary": "Alarm updated from OK to ALARM" } ] } } - Step 2+135 s
finish_investigationroot_cause_component=orders, fault_category=insufficient_evidence, confidence=60, summary=The alarm indicates a spike in serialization retries for the 'orders' service, but without additional context or data (e.g., logs, metrics trends, or related alarms), the root cause cannot be determined. This could be due to a variety of issues such as throttling, retry storms, or dependency failures., evidence_steps=1, hypotheses=likely: insufficient_evidence possible: throttling possible: retry_storm possible: slow_dependency possible: hot_row_contention possible: bad_deploy possible: config_regression, actions=, proposed_actions=1. Investigate recent deployments or configuration changes to the 'orders' service. 2. Check CloudWatch Logs for the 'orders' service for errors or warnings around the time the alarm triggered. 3. Review related metrics (e.g., error rates, latency, or dependency call failures) to identify patterns or anomalies. 4. Verify if there are any concurrent issues in downstream services (e.g., payments, fulfillment) that could cause retries. 5. Examine the dead-letter queue (DLQ) for failed messages, if applicable.Result (30 characters)
{ "ok": "investigation closed" }
Postmortem, as the investigation wrote it
Postmortem: nightshift-serialization-retries
Investigation 9468a82d3539, mistral ministral-14b-latest, started 2026-09-30T17:42:10+00:00.
Answer
| Root cause component | orders |
| Fault category | insufficient_evidence |
| Confidence | 60 |
| Ended because | finished |
Summary
The alarm indicates a spike in serialization retries for the 'orders' service, but without additional context or data (e.g., logs, metrics trends, or related alarms), the root cause cannot be determined. This could be due to a variety of issues such as throttling, retry storms, or dependency failures.
Impact
The page: nightshift-serialization-retries was ALARM (since 2026-09-30T17:42:02Z). Reason recorded by CloudWatch: Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).
Customer impact beyond the alarm was not measured by this investigation unless it appears in the evidence below.
Timeline
- 2026-09-30T17:42:10+00:00 step 1:
get_alarmname=serialization-retries - 2026-09-30T17:42:15+00:00 step 2:
finish_investigationroot_cause_component=orders, fault_category=insufficient_evidence, confidence=60, summary=...
Root cause evidence
- Step 1,
get_alarm: {"name":"nightshift-serialization-retries","state":"ALARM","reason":"Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).","since":"2026-09-30T17:42:02Z","m...(older result, shortened)
Proposed fix (for a human to decide; the agent changed nothing)
-
- Investigate recent deployments or configuration changes to the 'orders' service.
-
- Check CloudWatch Logs for the 'orders' service for errors or warnings around the time the alarm triggered.
-
- Review related metrics (e.g., error rates, latency, or dependency call failures) to identify patterns or anomalies.
-
- Verify if there are any concurrent issues in downstream services (e.g., payments, fulfillment) that could cause retries.
-
- Examine the dead-letter queue (DLQ) for failed messages, if applicable.
Hypotheses
- likely: insufficient_evidence
- possible: throttling
- possible: retry_storm
- possible: slow_dependency
- possible: hot_row_contention
- possible: bad_deploy
- possible: config_regression
What the investigation cost
- 1 model calls, 1,216 input and 287 output tokens (1,503 total)
- 2 steps, 4 s of wall clock
- 0 bytes of logs scanned
- 0 replies rejected by the provider for bad tool arguments
dsql / hot row contention, confidence 70. wrong
Checkout transactions are conflicting on the same rows.
Hypotheses at the end
- likely Checkout transactions are conflicting on the same rows.
Journal
- Step 1+130 s
get_alarmcited as evidencename=serialization-retriesResult (596 characters)
{ "tool": "get_alarm", "truncated": false, "untrusted_data": { "name": "nightshift-serialization-retries", "state": "ALARM", "reason": "Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).", "since": "2026-09-30T17:42:02Z", "metric": { "namespace": "NightShift", "name": "SerializationRetries", "dimensions": { "service": "orders" }, "statistic": "Sum", "period_seconds": 60 }, "fires_when": "GreaterThanOrEqualToThreshold 10.0 for 2 period(s)", "recent_state_changes": [ { "at": "2026-09-30T17:42:02Z", "summary": "Alarm updated from OK to ALARM" } ] } } - Step 2+130 s
list_recent_deploymentsfound nothingminutes=30, service=ordersResult (102 characters)
{ "tool": "list_recent_deployments", "truncated": false, "untrusted_data": { "window_minutes": 30, "moves": [] } }
Postmortem, as the investigation wrote it
Postmortem: nightshift-serialization-retries
Investigation 13f9bb1be605, runbook scripted, started 2026-09-30T17:42:10+00:00.
Answer
| Root cause component | dsql |
| Fault category | hot_row_contention |
| Confidence | 70 |
| Ended because | finished |
Summary
Checkout transactions are conflicting on the same rows.
Impact
The page: nightshift-serialization-retries was ALARM (since 2026-09-30T17:42:02Z). Reason recorded by CloudWatch: Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).
Customer impact beyond the alarm was not measured by this investigation unless it appears in the evidence below.
Timeline
- 2026-09-30T17:42:10+00:00 step 1:
get_alarmname=serialization-retries - 2026-09-30T17:42:10+00:00 step 2:
list_recent_deploymentsminutes=30, service=orders (found nothing)
Root cause evidence
- Step 1,
get_alarm: {"name":"nightshift-serialization-retries","state":"ALARM","reason":"Threshold Crossed: 2 datapoints [19.0 (30/09/26 17:41:00), 23.0 (30/09/26 17:40:00)] were greater than or equal to the threshold (10.0).","since":"2026-09-30T17:42:02Z","m...(older result, shortened)
Proposed fix (for a human to decide; the agent changed nothing)
None proposed.
Hypotheses
- likely: Checkout transactions are conflicting on the same rows.
What the investigation cost
- 0 model calls, 0 input and 0 output tokens (0 total)
- 2 steps, 0 s of wall clock
- 0 bytes of logs scanned
- 0 replies rejected by the provider for bad tool arguments