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Zorluk: ZorCloudWatch Logs and Metric Filters

A SysOps Administrator is configuring a monitoring solution for an application that writes JSON-formatted log events to an Amazon CloudWatch Logs log group. A sample log event is shown below:

{
"eventType": "database_query",
"latency_ms": 120,
"statusCode": 500,
"clientIp": "192.0.2.1"
}

The administrator wants to track query performance by extracting the `latency_ms` value as a custom metric. If the `latency_ms` field is missing from a database query log event, the metric must record a default value of 50005000 ms. The administrator only wants to parse events where the `eventType` is equal to `"database_query"`.

Which combination of configurations must the administrator apply to meet these requirements? (Select TWO.)

  1. Create a metric filter with the filter pattern `{ $.eventType = "database_query" }`.Cevap
  2. Configure the metric transformation with a metric value of `.latencyms‘andadefaultvalueof.latency_ms` and a default value of 5000$.Cevap
  3. C
    Configure an Amazon EventBridge rule that detects log ingestion and triggers an AWS Systems Manager Automation runbook to parse the logs and publish custom metrics.
  4. D
    Enable detailed monitoring on the EC2 instances delivering the logs to allow the metric filter to process events at 11-minute intervals.
  5. E
    Change the log group retention settings to Never Expire so that historical logs can be evaluated for the default value calculation.

Cevap

Create a metric filter with the filter pattern `{ .eventType = "database_query" }` and configure the metric transformation with a metric value of `.latency_ms` and a default value of 50005000.
To create a custom metric from JSON logs, you define a metric filter with a specific JSON property matching pattern. The pattern `{ .eventType = "database_query" }` correctly filters for the target events. The metric transformation configuration maps the metric value to the JSON property `.latency_ms`. Setting the default value to 50005000 guarantees that if the `latency_ms` field is omitted from a matched log event, CloudWatch still publishes 50005000 to the metric, satisfying the requirement for handling missing values.

Adım Adım Çözüm

1
Define the JSON filter pattern to match targeted log events.
The pattern `{ $.eventType = "database_query" }` ensures only events containing this exact key-value pair are processed.
This isolates the database query logs from other application log events.
2
Configure the metric value and default value in the metric transformation.
The metric value is mapped to `.latencyms‘,andthedefaultvalueissetto.latency_ms`, and the default value is set to 5000$.
This extracts the query execution time and ensures that if the field is missing, a default timeout value of 50005000 ms is published.

Anahtar Kavram

CloudWatch Logs metric filters extract custom metrics from JSON log patterns and utilize default values to handle missing fields gracefully.
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CloudWatch Logs and Metric Filters

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