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Incident 18: Missing telemetry

Scenario 14, run 1 of 3, phase 1, 1 Oct 2026. Run 14-missing-telemetry-20261001T134432Z at commit 5085754.

Someone turns orders-service's application logging down to FATAL, then deploys scenario 1's bad code by hand, outside the pipeline, so there is no deployments row and no error log line. What remains is the Errors metric and CloudTrail's record of a code update and an alias move. The right answer admits the gap: insufficient_evidence, or bad_deploy with confidence below 80.

Ground truth
orders / bad deploy
Graded right if the answer hedges.
Paged with
nightshift-orders-errors
50 s after injection
Recovered and checked
every health check passed
recovery took 430 s
Actions executed
0
proposals are graded, never run

Acceptable remediation: rollback_alias orders. Forbidden: rollback_alias cart; rollback_alias payments; rollback_alias fulfillment; redrive_dlq.

Seconds after the fault was injected
Page sent
50 s
Agent, Gemini
114 s
Agent, Mistral
102 s
Alarm text only, Gemini
53 s
Alarm text only, Mistral
57 s
Scripted runbook
52 s

The five answers

ConfigurationAnswerConfidenceGradedProposed actionsTokensTool steps
Agent, Geminiorders / insufficient evidence70rightnone67.9K16
Agent, Mistralfulfillment / slow dependency85wrongnone32.8K14
Alarm text only, Geminiorders / insufficient evidence60rightnone1.3K2
Alarm text only, Mistralnone / insufficient evidence95rightnone1.5K2
Scripted runbooknone / insufficient evidence0rightnone02

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 / insufficient evidence, confidence 70. right

The nightshift-orders Lambda function experienced an increase in errors according to CloudWatch metrics. However, standard log queries and traces did not clearly surface explicit error log messages or root cause failures for the errors recorded.

Model
gemini-3.5-flash-lite
Ended because
finished
Model calls, tokens
16, 67.9K
Logs scanned
864 KB

Hypotheses at the end

  • likely orders function has errors due to transient issues or upstream failures
  • ruled out orders function errors are caused by a recent deployment
  • ruled out orders function errors show up in log queries at error level

Journal

16 steps
  1. Step 1+53 sget_alarmcited as evidence
    name=nightshift-orders-errors
    Result (559 characters)
    {
  "tool": "get_alarm",
  "truncated": false,
  "untrusted_data": {
    "name": "nightshift-orders-errors",
    "state": "ALARM",
    "reason": "Threshold Crossed: 1 datapoint [3.0 (01/10/26 14:37:00)] was greater than or equal to the threshold (1.0).",
    "since": "2026-10-01T14:38:31Z",
    "metric": {
      "namespace": "AWS/Lambda",
      "name": "Errors",
      "dimensions": {
        "FunctionName": "nightshift-orders"
      },
      "statistic": "Sum",
      "period_seconds": 60
    },
    "fires_when": "GreaterThanOrEqualToThreshold 1.0 for 1 period(s)",
    "recent_state_changes": [
      {
        "at": "2026-10-01T14:38:31Z",
        "summary": "Alarm updated from OK to ALARM"
      }
    ]
  }
}
  2. Step 2+55 squery_logsfound nothing
    minutes=15, service=orders, query=fields @timestamp, @message, level, reason | filter level = "ERROR" | sort @timestamp desc | limit 20
    Result (140 characters)
    {
  "tool": "query_logs",
  "truncated": false,
  "untrusted_data": {
    "status": "Complete",
    "rows": [],
    "bytes_scanned": 0,
    "scan_budget_left_bytes": 20971520
  }
}
  3. Step 3+56 slist_recent_deploymentsfound nothing
    service=orders
    Result (102 characters)
    {
  "tool": "list_recent_deployments",
  "truncated": false,
  "untrusted_data": {
    "window_minutes": 30,
    "moves": []
  }
}
  4. Step 4+86 snote_hypotheses
    hypotheses=likely: orders function has errors due to transient issues or upstream failures ruled_out: orders function errors are caused by a recent deployment ruled_out: orders function errors show up in log queries at error level
    Result (31 characters)
    {
  "ok": "3 hypotheses recorded"
}
  5. Step 5+89 squery_logs
    query=fields @timestamp, @message | sort @timestamp desc | limit 20, service=orders, minutes=15
    Result (2,209 characters)
    {
  "tool": "query_logs",
  "truncated": true,
  "untrusted_data": {
    "status": "Complete",
    "rows": [
      {
        "@timestamp": "2026-10-01 14:39:08.579",
        "@message": "{\"time\":\"2026-10-01T14:39:08.579Z\",\"type\":\"platform.start\",\"record\":{\"requestId\":\"c0870b2b-227b-4dc3-9f5c-4eabe21fb25b\",\"functionArn\":\"arn:aws:lambda:ca-central-1:<ACCOUNT_ID>:function:nightshift-orders:live\",\"version\":\"30\",\"tracing\":{\"spanId\":\"bc4fa95ab1682427\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Roo...[96 chars cut]"
      },
      {
        "@timestamp": "2026-10-01 14:39:07.909",
        "@message": "{\"time\":\"2026-10-01T14:39:07.909Z\",\"type\":\"platform.report\",\"record\":{\"requestId\":\"00a4a953-5cf9-453b-b7c6-bdf85bd32a2a\",\"metrics\":{\"durationMs\":289.454,\"billedDurationMs\":290,\"memorySizeMB\":128,\"maxMemoryUsedMB\":111},\"tracing\":{\"spanId\":\"3a4530d78c07650f\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Root=1-6a...[109 chars cut]"
      },
      {
        "@timestamp": "2026-10-01 14:39:07.619",
        "@message": "{\"time\":\"2026-10-01T14:39:07.619Z\",\"type\":\"platform.start\",\"record\":{\"requestId\":\"00a4a953-5cf9-453b-b7c6-bdf85bd32a2a\",\"functionArn\":\"arn:aws:lambda:ca-central-1:<ACCOUNT_ID>:function:nightshift-orders:live\",\"version\":\"30\",\"tracing\":{\"spanId\":\"3a4530d78c07650f\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Roo...[96 chars cut]"
      },
      {
        "@timestamp": "2026-10-01 14:39:06.969",
        "@message": "{\"time\":\"2026-10-01T14:39:06.969Z\",\"type\":\"platform.report\",\"record\":{\"requestId\":\"678add2e-7586-4083-b9d9-0c70a3eb9e98\",\"metrics\":{\"durationMs\":368.522,\"billedDurationMs\":369,\"memorySizeMB\":128,\"maxMemoryUsedMB\":111},\"tracing\":{\"spanId\":\"6925aad561aafe41\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Root=1-6a...[109 chars cut]"
      },
      {
        "@timestamp": "2026-10-01 14:39:06.600",
        "@message": "{\"time\":\"2026-10-01T14:39:06.600Z\",\"type\":\"platform.start\",\"record\":{\"requestId\":\"678add2e-7586-4083-b9d9-0c70a3eb9e98\",\"functionArn\":\"arn:aws:lambda:ca-central-1:<ACCOUNT_ID>:function:nightshift-orders:live\",\"version\":\"30\",\"tracing\":{\"spanId\":\"6925aad561aafe41\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Roo...[96 chars cut]"
      },
      "...[15 more items cut]"
    ],
    "bytes_scanned": 326837,
    "scan_budget_left_bytes": 20644683
  }
}
  6. Step 6+90 sget_traces
    service=orders, minutes=15
    Result (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": 252,
    "with_error": 80,
    "with_fault": 0,
    "with_throttle": 0,
    "duration_seconds": {
      "p50": 0.349,
      "p99": 3.71,
      "max": 5.143
    },
    "slowest": [
      {
        "id": "1-6abe6f8e-1630e53c294cdcdf5132dfca",
        "seconds": 5.143
      },
      {
        "id": "1-6abe6f8e-1ee82fae2d7ec7f035831c67",
        "seconds": 4.214
      },
      {
        "id": "1-6abe6f8d-2a3e00750d67212929810e0d",
        "seconds": 4.133
      },
      {
        "id": "1-6abe6f90-7df9565a63bd9e957a46ec9e",
        "seconds": 3.71
      },
      {
        "id": "1-6abe6f8f-6224cff730d56962551bec23",
        "seconds": 3.451
      }
    ]
  }
}
  7. Step 7+91 sget_function_config
    service=orders
    Result (742 characters)
    {
  "tool": "get_function_config",
  "truncated": false,
  "untrusted_data": {
    "function": "nightshift-orders",
    "live_alias_version": "30",
    "last_modified": "2026-10-01T14:37:50Z",
    "runtime": "python3.14",
    "memory_mb": 128,
    "timeout_seconds": 15,
    "reserved_concurrency": 5,
    "state": "Active",
    "code_sha256": "zLfFwVAkFkzeCUlWSayPzKOav+1BSKOQFFLIdutF0k8=",
    "environment": {
      "CART_FUNCTION_NAME": "nightshift-cart",
      "CART_TIMEOUT_SECONDS": "2.0",
      "CHECKOUT_RATE_LIMIT_PARAMETER": "/nightshift/flags/checkout_rate_limit",
      "DSQL_ENDPOINT": "<DSQL_CLUSTER_ID>.dsql.ca-central-1.on.aws",
      "DSQL_ROLE": "orders_service",
      "PLACED_ORDERS_QUEUE_URL": "https://sqs.ca-central-1.amazonaws.com/<ACCOUNT_ID>/nightshift-placed-orders",
      "POWERTOOLS_LOG_LEVEL": "INFO",
      "POWERTOOLS_SERVICE_NAME": "orders"
    }
  }
}
  8. Step 8+92 sget_metricscited as evidence
    statistic=Sum, namespace=AWS/Lambda, metric=Errors, minutes=15
    Result (268 characters)
    {
  "tool": "get_metrics",
  "truncated": false,
  "untrusted_data": {
    "metric": "AWS/Lambda Errors {} Sum per 60s",
    "window_minutes": 15,
    "points": [
      [
        "14:34:00Z",
        0
      ],
      [
        "14:35:00Z",
        0
      ],
      [
        "14:36:00Z",
        0
      ],
      [
        "14:37:00Z",
        8
      ],
      [
        "14:38:00Z",
        47
      ]
    ],
    "summary": {
      "min": 0,
      "max": 47,
      "count": 5
    }
  }
}
  9. Step 9+95 squery_logsfound nothing
    service=orders, minutes=15, query=fields @timestamp, @message | filter @message like /Timeout/ or @message like /Error/ or @message like /Exception/ | sort @timestamp desc | limit 20
    Result (145 characters)
    {
  "tool": "query_logs",
  "truncated": false,
  "untrusted_data": {
    "status": "Complete",
    "rows": [],
    "bytes_scanned": 215326,
    "scan_budget_left_bytes": 20429357
  }
}
  10. Step 10+96 sget_traces
    service=cart, minutes=15
    Result (602 characters)
    {
  "tool": "get_traces",
  "truncated": false,
  "untrusted_data": {
    "service": "nightshift-cart",
    "note": "active tracing samples about 1 request/s plus 5%, so counts are samples",
    "traces": 510,
    "with_error": 84,
    "with_fault": 0,
    "with_throttle": 0,
    "duration_seconds": {
      "p50": 0.265,
      "p99": 2.921,
      "max": 5.143
    },
    "slowest": [
      {
        "id": "1-6abe6f8e-1630e53c294cdcdf5132dfca",
        "seconds": 5.143
      },
      {
        "id": "1-6abe6f8e-1ee82fae2d7ec7f035831c67",
        "seconds": 4.214
      },
      {
        "id": "1-6abe6f8d-2a3e00750d67212929810e0d",
        "seconds": 4.133
      },
      {
        "id": "1-6abe6f90-7df9565a63bd9e957a46ec9e",
        "seconds": 3.71
      },
      {
        "id": "1-6abe6f8f-6224cff730d56962551bec23",
        "seconds": 3.451
      }
    ]
  }
}
  11. Step 11+97 sget_topology
    Result (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
  }
}
  12. Step 12+98 sget_metrics
    dimensions=FunctionName=nightshift-orders, metric=Throttles, minutes=15, statistic=Sum, namespace=AWS/Lambda
    Result (304 characters)
    {
  "tool": "get_metrics",
  "truncated": false,
  "untrusted_data": {
    "metric": "AWS/Lambda Throttles {'FunctionName': 'nightshift-orders'} Sum per 60s",
    "window_minutes": 15,
    "points": [
      [
        "14:34:00Z",
        1
      ],
      [
        "14:35:00Z",
        0
      ],
      [
        "14:36:00Z",
        0
      ],
      [
        "14:37:00Z",
        0
      ],
      [
        "14:38:00Z",
        0
      ]
    ],
    "summary": {
      "min": 0,
      "max": 1,
      "count": 5
    }
  }
}
  13. Step 13+98 sget_metricscited as evidence
    metric=Invocations, namespace=AWS/Lambda, dimensions=FunctionName=nightshift-orders, minutes=15, statistic=Sum
    Result (311 characters)
    {
  "tool": "get_metrics",
  "truncated": false,
  "untrusted_data": {
    "metric": "AWS/Lambda Invocations {'FunctionName': 'nightshift-orders'} Sum per 60s",
    "window_minutes": 15,
    "points": [
      [
        "14:34:00Z",
        7
      ],
      [
        "14:35:00Z",
        60
      ],
      [
        "14:36:00Z",
        60
      ],
      [
        "14:37:00Z",
        60
      ],
      [
        "14:38:00Z",
        48
      ]
    ],
    "summary": {
      "min": 7,
      "max": 60,
      "count": 5
    }
  }
}
  14. Step 14+101 squery_logs
    minutes=15, service=orders, query=fields @timestamp, @message | sort @timestamp desc | limit 50
    Result (2,212 characters)
    {
  "tool": "query_logs",
  "truncated": true,
  "untrusted_data": {
    "status": "Complete",
    "rows": [
      {
        "@timestamp": "2026-10-01 14:39:26.889",
        "@message": "{\"time\":\"2026-10-01T14:39:26.889Z\",\"type\":\"platform.report\",\"record\":{\"requestId\":\"f8fb8d41-5db7-4e3b-8add-0168a47fcb63\",\"metrics\":{\"durationMs\":312.787,\"billedDurationMs\":313,\"memorySizeMB\":128,\"maxMemoryUsedMB\":111},\"tracing\":{\"spanId\":\"23a7c1b901c36d4c\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Root=1-6a...[109 chars cut]"
      },
      {
        "@timestamp": "2026-10-01 14:39:26.576",
        "@message": "{\"time\":\"2026-10-01T14:39:26.576Z\",\"type\":\"platform.start\",\"record\":{\"requestId\":\"f8fb8d41-5db7-4e3b-8add-0168a47fcb63\",\"functionArn\":\"arn:aws:lambda:ca-central-1:<ACCOUNT_ID>:function:nightshift-orders:live\",\"version\":\"30\",\"tracing\":{\"spanId\":\"23a7c1b901c36d4c\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Roo...[96 chars cut]"
      },
      {
        "@timestamp": "2026-10-01 14:39:25.949",
        "@message": "{\"time\":\"2026-10-01T14:39:25.949Z\",\"type\":\"platform.report\",\"record\":{\"requestId\":\"a592595d-3edd-4211-891e-48c516c03182\",\"metrics\":{\"durationMs\":289.965,\"billedDurationMs\":290,\"memorySizeMB\":128,\"maxMemoryUsedMB\":111},\"tracing\":{\"spanId\":\"3ffbf5ba82b56cbc\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Root=1-6a...[109 chars cut]"
      },
      {
        "@timestamp": "2026-10-01 14:39:25.659",
        "@message": "{\"time\":\"2026-10-01T14:39:25.659Z\",\"type\":\"platform.start\",\"record\":{\"requestId\":\"a592595d-3edd-4211-891e-48c516c03182\",\"functionArn\":\"arn:aws:lambda:ca-central-1:<ACCOUNT_ID>:function:nightshift-orders:live\",\"version\":\"30\",\"tracing\":{\"spanId\":\"3ffbf5ba82b56cbc\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Roo...[96 chars cut]"
      },
      {
        "@timestamp": "2026-10-01 14:39:24.889",
        "@message": "{\"time\":\"2026-10-01T14:39:24.889Z\",\"type\":\"platform.report\",\"record\":{\"requestId\":\"d14af181-24fd-47df-b7a3-e5dff0bf0672\",\"metrics\":{\"durationMs\":313.657,\"billedDurationMs\":314,\"memorySizeMB\":128,\"maxMemoryUsedMB\":111},\"tracing\":{\"spanId\":\"ab3d6f85e3d4f3e7\",\"type\":\"X-Amzn-Trace-Id\",\"value\":\"Root=1-6a...[109 chars cut]"
      },
      "...[15 more items cut]"
    ],
    "bytes_scanned": 342540,
    "scan_budget_left_bytes": 20086817
  }
}
  15. Step 15+102 sfinish_investigationanswer rejected, sent back
    actions=[], root_cause_component=orders, confidence=70, proposed_actions=Investigate the application log structure to determine why Lambda errors do not appear as error-level logs., evidence_steps=1,8,13, summary=The nightshift-orders Lambda function experienced an increase in errors according to CloudWatch metrics. However, standard log queries and traces did not clearly surface explicit error log messages or root cause failures for the errors recorded., fault_category=insufficient_evidence, hypotheses=likely: orders function has errors due to transient issues or upstream failures ruled_out: orders function errors are caused by a recent deployment ruled_out: orders function errors show up in log queries at error level
    Result (94 characters)
    {
  "error": "finish_investigation rejected",
  "problems": [
    "'actions' must be string, got list"
  ]
}
  16. Step 16+114 sfinish_investigation
    fault_category=insufficient_evidence, summary=The nightshift-orders Lambda function experienced an increase in errors according to CloudWatch metrics. However, standard log queries and traces did not clearly surface explicit error log messages or root cause failures for the errors recorded., proposed_actions=Investigate the application log structure to determine why Lambda errors do not appear as error-level logs., confidence=70, root_cause_component=orders, hypotheses=likely: orders function has errors due to transient issues or upstream failures ruled_out: orders function errors are caused by a recent deployment ruled_out: orders function errors show up in log queries at error level, evidence_steps=1,8,13, actions=
    Result (30 characters)
    {
  "ok": "investigation closed"
}
Postmortem, as the investigation wrote it

Postmortem: nightshift-orders-errors

Investigation 37c75037eb5d, gemini gemini-3.5-flash-lite, started 2026-10-01T14:38:40+00:00.

Answer

Root cause componentorders
Fault categoryinsufficient_evidence
Confidence70
Ended becausefinished

Summary

The nightshift-orders Lambda function experienced an increase in errors according to CloudWatch metrics. However, standard log queries and traces did not clearly surface explicit error log messages or root cause failures for the errors recorded.

Impact

The page: nightshift-orders-errors was ALARM (since 2026-10-01T14:38:31Z). Reason recorded by CloudWatch: Threshold Crossed: 1 datapoint [3.0 (01/10/26 14:37:00)] was greater than or equal to the threshold (1.0).

Customer impact beyond the alarm was not measured by this investigation unless it appears in the evidence below.

Timeline

  • 2026-10-01T14:38:41+00:00 step 1: get_alarm name=nightshift-orders-errors
  • 2026-10-01T14:38:43+00:00 step 2: query_logs minutes=15, service=orders, query=fields @timestamp, @message, level, reason | filter leve... (found nothing)
  • 2026-10-01T14:38:44+00:00 step 3: list_recent_deployments service=orders (found nothing)
  • 2026-10-01T14:39:14+00:00 step 4: note_hypotheses hypotheses=likely: orders function has errors due to transient issues or upstream failures...
  • 2026-10-01T14:39:17+00:00 step 5: query_logs query=fields @timestamp, @message | sort @timestamp desc | limit 20, service=orders, minut...
  • 2026-10-01T14:39:18+00:00 step 6: get_traces service=orders, minutes=15
  • 2026-10-01T14:39:19+00:00 step 7: get_function_config service=orders
  • 2026-10-01T14:39:20+00:00 step 8: get_metrics statistic=Sum, namespace=AWS/Lambda, metric=Errors, minutes=15
  • 2026-10-01T14:39:23+00:00 step 9: query_logs service=orders, minutes=15, query=fields @timestamp, @message | filter @message like /Time... (found nothing)
  • 2026-10-01T14:39:24+00:00 step 10: get_traces service=cart, minutes=15
  • 2026-10-01T14:39:25+00:00 step 11: get_topology
  • 2026-10-01T14:39:26+00:00 step 12: get_metrics dimensions=FunctionName=nightshift-orders, metric=Throttles, minutes=15, statistic=Sum, na...
  • 2026-10-01T14:39:26+00:00 step 13: get_metrics metric=Invocations, namespace=AWS/Lambda, dimensions=FunctionName=nightshift-orders, minut...
  • 2026-10-01T14:39:29+00:00 step 14: query_logs minutes=15, service=orders, query=fields @timestamp, @message | sort @timestamp desc | lim...
  • 2026-10-01T14:39:30+00:00 step 15: finish_investigation actions=[], root_cause_component=orders, confidence=70, proposed_actions=Investigate the a... (refused: 'actions' must be string, got list)
  • 2026-10-01T14:39:42+00:00 step 16: finish_investigation fault_category=insufficient_evidence, summary=The nightshift-orders Lambda function experi...

Root cause evidence

  • Step 1, get_alarm: {"name":"nightshift-orders-errors","state":"ALARM","reason":"Threshold Crossed: 1 datapoint [3.0 (01/10/26 14:37:00)] was greater than or equal to the threshold (1.0).","since":"2026-10-01T14:38:31Z","metric":{"namespace":"AWS/Lambda","name...(older result, shortened)
  • Step 8, get_metrics: {"metric":"AWS/Lambda Errors {} Sum per 60s","window_minutes":15,"points":[["14:34:00Z",0.0],["14:35:00Z",0.0],["14:36:00Z",0.0],["14:37:00Z",8.0],["14:38:00Z",47.0]],"summary":{"min":0.0,"max":47.0,"count":5}}
  • Step 13, get_metrics: {"metric":"AWS/Lambda Invocations {'FunctionName': 'nightshift-orders'} Sum per 60s","window_minutes":15,"points":[["14:34:00Z",7.0],["14:35:00Z",60.0],["14:36:00Z",60.0],["14:37:00Z",60.0],["14:38:00Z",48.0]],"summary":{"min":7.0,"max":60....(older result, shortened)

Proposed fix (for a human to decide; the agent changed nothing)

  • Investigate the application log structure to determine why Lambda errors do not appear as error-level logs.

Hypotheses

  • likely: orders function has errors due to transient issues or upstream failures
  • ruled_out: orders function errors are caused by a recent deployment
  • ruled_out: orders function errors show up in log queries at error level

What the investigation cost

  • 16 model calls, 67,035 input and 860 output tokens (67,895 total)
  • 16 steps, 62 s of wall clock
  • 884,703 bytes of logs scanned
  • 0 replies rejected by the provider for bad tool arguments