Merge pull request #19827 from newrelic/translations-141223a2

Updated translations -  (machine translation)

Author: akashreddy-nr

src/content/docs/infrastructure/google-cloud-platform-integrations/gcp-integrations-list/google-vertexai-monitoring-integration.mdx

@@ -686,17 +686,19 @@ This integration collects GCP data for VertexAI.
 
 <table>
   <thead>
-    <th>
-      Metric
-    </th>
+    <tr>
+      <th>
+        Metric
+      </th>
 
-    <th>
-      Unit
-    </th>
+      <th>
+        Unit
+      </th>
 
-    <th>
-      Description
-    </th>
+      <th>
+        Description
+      </th>
+    </tr>
   </thead>
 
   <tbody>
@@ -790,17 +792,19 @@ This integration collects GCP data for VertexAI.
 
 <table>
   <thead>
-    <th>
-      Metric
-    </th>
+    <tr>
+      <th>
+        Metric
+      </th>
 
-    <th>
-      Unit
-    </th>
+      <th>
+        Unit
+      </th>
 
-    <th>
-      Description
-    </th>
+      <th>
+        Description
+      </th>
+    </tr>
   </thead>
 
   <tbody>
@@ -852,17 +856,19 @@ This integration collects GCP data for VertexAI.
 
 <table>
   <thead>
-    <th>
-      Metric
-    </th>
+    <tr>
+      <th>
+        Metric
+      </th>
 
-    <th>
-      Unit
-    </th>
+      <th>
+        Unit
+      </th>
 
-    <th>
-      Description
-    </th>
+      <th>
+        Description
+      </th>
+    </tr>
   </thead>
 
   <tbody>

src/i18n/content/es/docs/apis/rest-api-v2/migrate-to-nrql.mdx

@@ -60,21 +60,21 @@ FROM Metric
 WHERE appId = $APP_ID AND metricTimesliceName = 'HttpDispatcher'
 ```
 
-| Valor (RPM) | Función NRQL | | -------------------------- | ------------------------------------------------------------------------------------------------- | | `average_response_time` | `average(newrelic.timeslice.value) * 1000` | | `calls_per_minute` | `rate(count(newrelic.timeslice.value), 1 minute)` | | `call_count` | `count(newrelic.timeslice.value)` | | `min_response_time` | `min(newrelic.timeslice.value) * 1000` | | `max_response_time` | `max(newrelic.timeslice.value) * 1000` | | `average_exclusive_time` | `average(newrelic.timeslice.value['totalExclusive'] / newrelic.timeslice.value['count']) * 1000` | | `average_value` | `average(newrelic.timeslice.value)` | | `total_call_time_per_minute` | `rate(sum(newrelic.timeslice.value), 1 minute)` | | `requests_per_minute` | `rate(count(newrelic.timeslice.value), 1 minute)` | | `standard_deviation` | `stddev(newrelic.timeslice.value) * 1000` | | `average_time` | `average(newrelic.timeslice.value) * 1000` | | `count` | `count(newrelic.timeslice.value)` | | `used_bytes_by_host` | `average(newrelic.timeslice.value) * 1024 * 1024` | | `used_mb_by_host` | `average(newrelic.timeslice.value)` | | `total_used_mb` | `sum(newrelic.timeslice.value)` | | `average_call_time` | `average(newrelic.timeslice.value) * 1000` | | `total_value` | `sum(newrelic.timeslice.value)` | | `min_value` | `min(newrelic.timeslice.value)` | | `max_value` | `max(newrelic.timeslice.value)` | | `rate` | `rate(sum(newrelic.timeslice.value), 1 second)` | | `throughput` | `rate(count(newrelic.timeslice.value), 1 second)` | | `as_percentage` | `average(newrelic.timeslice.value) * 100` | | `errors_per_minute` | `rate(count(newrelic.timeslice.value), 1 minute)` | | `error_count` | `count(newrelic.timeslice.value)` | | `total_time` | `sum(newrelic.timeslice.value) * 1000` | | `sessions_active` | `average(newrelic.timeslice.value)` | | `total_visits` | `sum(newrelic.timeslice.value)` | | `percent` | `average(newrelic.timeslice.value) * 100` | | `percent(CPU/User Time)` | `100 * sum(newrelic.timeslice.value) / $TIME_WINDOW_IN_SECONDS` | | `time_percentage` | `100 * sum(newrelic.timeslice.value) / $TIME_WINDOW_IN_SECONDS` | | `utilization` | `100 * sum(newrelic.timeslice.value) / $TIME_WINDOW_IN_SECONDS` | | `visits_percentage` | `100 * sum(newrelic.timeslice.value) / $TIME_WINDOW_IN_SECONDS` |
+\| Valor (RPM) | Función NRQL | | -------------------------- | ------------------------------------------------------------------------------------------------- | | `average_response_time` | `average(newrelic.timeslice.value) * 1000` | | `calls_per_minute` | `rate(count(newrelic.timeslice.value), 1 minute)` | | `call_count` | `count(newrelic.timeslice.value)` | | `min_response_time` | `min(newrelic.timeslice.value) * 1000` | | `max_response_time` | `max(newrelic.timeslice.value) * 1000` | | `average_exclusive_time` | `average(newrelic.timeslice.value['totalExclusive'] / newrelic.timeslice.value['count']) * 1000` | | `average_value` | `average(newrelic.timeslice.value)` | | `total_call_time_per_minute` | `rate(sum(newrelic.timeslice.value), 1 minute)` | | `requests_per_minute` | `rate(count(newrelic.timeslice.value), 1 minute)` | | `standard_deviation` | `stddev(newrelic.timeslice.value) * 1000` | | `average_time` | `average(newrelic.timeslice.value) * 1000` | | `count` | `count(newrelic.timeslice.value)` | | `used_bytes_by_host` | `average(newrelic.timeslice.value) * 1024 * 1024` | | `used_mb_by_host` | `average(newrelic.timeslice.value)` | | `total_used_mb` | `sum(newrelic.timeslice.value)` | | `average_call_time` | `average(newrelic.timeslice.value) * 1000` | | `total_value` | `sum(newrelic.timeslice.value)` | | `min_value` | `min(newrelic.timeslice.value)` | | `max_value` | `max(newrelic.timeslice.value)` | | `rate` | `rate(sum(newrelic.timeslice.value), 1 second)` | | `throughput` | `rate(count(newrelic.timeslice.value), 1 second)` | | `as_percentage` | `average(newrelic.timeslice.value) * 100` | | `errors_per_minute` | `rate(count(newrelic.timeslice.value), 1 minute)` | | `error_count` | `count(newrelic.timeslice.value)` | | `total_time` | `sum(newrelic.timeslice.value) * 1000` | | `sessions_active` | `average(newrelic.timeslice.value)` | | `total_visits` | `sum(newrelic.timeslice.value)` | | `percent` | `average(newrelic.timeslice.value) * 100` | | `percent(CPU/User Time)` | `100 * sum(newrelic.timeslice.value) / $TIME_WINDOW_IN_SECONDS` | | `time_percentage` | `100 * sum(newrelic.timeslice.value) / $TIME_WINDOW_IN_SECONDS` | | `utilization` | `100 * sum(newrelic.timeslice.value) / $TIME_WINDOW_IN_SECONDS` | | `visits_percentage` | `100 * sum(newrelic.timeslice.value) / $TIME_WINDOW_IN_SECONDS` |
 
 Si la función incluye `$TIME_WINDOW_IN_SECONDS`, significa que debes reemplazarla con la ventana de tiempo que deseas consultar.
 
 Por ejemplo, si consulta un intervalo de tiempo de 30 minutos, reemplazará `$TIME_WINDOW_IN_SECONDS` por `1800`.
 
 ### Apdex métricas
 
-| Valor (RPM) | Función NRQL | | ------------- | ---------------------------------------------------------------------------------- | | `score` | `apdex(newrelic.timeslice.value)` | | `s` | `apdex(newrelic.timeslice.value)` o `count(newrelic.timeslice.value)` | | `t` | `apdex(newrelic.timeslice.value)` o `sum(newrelic.timeslice.value)` | | `f` | `apdex(newrelic.timeslice.value)` o `sum(newrelic.timeslice.value['totalExclusive'])`| | `count` | `apdex(newrelic.timeslice.value)` | | `value` | `apdex(newrelic.timeslice.value)` | | `threshold` | `max(newrelic.timeslice.value)` | | `threshold_min` | `min(newrelic.timeslice.value)` |
+\| Valor (RPM) | Función NRQL | | ------------- | ---------------------------------------------------------------------------------- | | `score` | `apdex(newrelic.timeslice.value)` | | `s` | `apdex(newrelic.timeslice.value)` o `count(newrelic.timeslice.value)` | | `t` | `apdex(newrelic.timeslice.value)` o `sum(newrelic.timeslice.value)` | | `f` | `apdex(newrelic.timeslice.value)` o `sum(newrelic.timeslice.value['totalExclusive'])`| | `count` | `apdex(newrelic.timeslice.value)` | | `value` | `apdex(newrelic.timeslice.value)` | | `threshold` | `max(newrelic.timeslice.value)` | | `threshold_min` | `min(newrelic.timeslice.value)` |
 
 ### Métricas para EndUser & Mobile
 
 Estas métricas devolverán el mismo resultado que obtendría de la REST API v2, pero algunos resultados pueden diferir de lo que ve en la New Relic UI. Esto se debe a que la UI emplea evento en lugar de datos de intervalo de tiempo. Si desea obtener los mismos resultados que la UI, debe consultar el evento directamente.
 
-| Valor (RPM) | Función NRQL | | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | `average_response_time` | `sum(newrelic.timeslice.value) / count(newrelic.timeslice.value) * 1000 `| | `error_percentage` | `(filter(count(newrelic.timeslice.value), WHERE metricTimesliceName = 'EndUser/errors') / filter(count(newrelic.timeslice.value), WHERE metricTimesliceName = 'Browser'))`| | `average_fe_response_time` | `sum(newrelic.timeslice.value['totalExclusive']) / count(newrelic.timeslice.value) * 1000` | | `average_be_response_time` | `1000 * (sum(newrelic.timeslice.value) - sum(newrelic.timeslice.value['totalExclusive'])) / count(newrelic.timeslice.value)` | | `average_network_time` | `(sum(newrelic.timeslice.value) - sum(newrelic.timeslice.value['totalExclusive']) - sum(newrelic.timeslice.value['sumOfSquares'])) / count(newrelic.timeslice.value)` | | `total_network_time` | `(sum(newrelic.timeslice.value) - sum(newrelic.timeslice.value['totalExclusive']) - sum(newrelic.timeslice.value['sumOfSquares']))` | | `network_time_percentage` | `(sum(newrelic.timeslice.value) - sum(newrelic.timeslice.value['totalExclusive']) - sum(newrelic.timeslice.value['sumOfSquares'])) / $TIME_WINDOW_IN_SECONDS` | | `total_fe_time` | `sum(newrelic.timeslice.value['totalExclusive'])` | | `fe_time_percentage` | `100 * sum(newrelic.timeslice.value['totalExclusive']) / $TIME_WINDOW_IN_SECONDS` | | `average_dom_content_load_time` | `average(newrelic.timeslice.value) * 1000` | | `average_queue_time` | `average(newrelic.timeslice.value['totalExclusive']) * 1000` | | `total_queue_time` | `sum(newrelic.timeslice.value['totalExclusive']) * 1000` | | `total_dom_content_time` | `sum(newrelic.timeslice.value) * 1000` | | `total_app_time` | `sum(newrelic.timeslice.value['sumOfSquares'])` | | `average_app_time` | `sum(newrelic.timeslice.value['sumOfSquares']) / count(newrelic.timeslice.value)` | | `average_sent_bytes` | `sum(newrelic.timeslice.value['totalExclusive']) * 1000` | | `average_received_bytes` | `1000 * sum(newrelic.timeslice.value) / count(newrelic.timeslice.value)` | | `launch_count` | `count(newrelic.timeslice.value)` |
+\| Valor (RPM) | Función NRQL | | ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | `average_response_time` | `sum(newrelic.timeslice.value) / count(newrelic.timeslice.value) * 1000 `| | `error_percentage` | `(filter(count(newrelic.timeslice.value), WHERE metricTimesliceName = 'EndUser/errors') / filter(count(newrelic.timeslice.value), WHERE metricTimesliceName = 'Browser'))`| | `average_fe_response_time` | `sum(newrelic.timeslice.value['totalExclusive']) / count(newrelic.timeslice.value) * 1000` | | `average_be_response_time` | `1000 * (sum(newrelic.timeslice.value) - sum(newrelic.timeslice.value['totalExclusive'])) / count(newrelic.timeslice.value)` | | `average_network_time` | `(sum(newrelic.timeslice.value) - sum(newrelic.timeslice.value['totalExclusive']) - sum(newrelic.timeslice.value['sumOfSquares'])) / count(newrelic.timeslice.value)` | | `total_network_time` | `(sum(newrelic.timeslice.value) - sum(newrelic.timeslice.value['totalExclusive']) - sum(newrelic.timeslice.value['sumOfSquares']))` | | `network_time_percentage` | `(sum(newrelic.timeslice.value) - sum(newrelic.timeslice.value['totalExclusive']) - sum(newrelic.timeslice.value['sumOfSquares'])) / $TIME_WINDOW_IN_SECONDS` | | `total_fe_time` | `sum(newrelic.timeslice.value['totalExclusive'])` | | `fe_time_percentage` | `100 * sum(newrelic.timeslice.value['totalExclusive']) / $TIME_WINDOW_IN_SECONDS` | | `average_dom_content_load_time` | `average(newrelic.timeslice.value) * 1000` | | `average_queue_time` | `average(newrelic.timeslice.value['totalExclusive']) * 1000` | | `total_queue_time` | `sum(newrelic.timeslice.value['totalExclusive']) * 1000` | | `total_dom_content_time` | `sum(newrelic.timeslice.value) * 1000` | | `total_app_time` | `sum(newrelic.timeslice.value['sumOfSquares'])` | | `average_app_time` | `sum(newrelic.timeslice.value['sumOfSquares']) / count(newrelic.timeslice.value)` | | `average_sent_bytes` | `sum(newrelic.timeslice.value['totalExclusive']) * 1000` | | `average_received_bytes` | `1000 * sum(newrelic.timeslice.value) / count(newrelic.timeslice.value)` | | `launch_count` | `count(newrelic.timeslice.value)` |
 
 ### Seriales temporales y resúmenes