fix links

docs/en/serverless/quickstarts/monitor-hosts-with-otel.asciidoc

@@ -52,17 +52,17 @@ For host monitoring, the following capabilities and features are recommended:
 
 * In the <<observability-infrastructure-monitoring,Infrastructure UI>>, analyze and compare data collected from your hosts.
 You can also:
-** <<inspect-metric-anomalies,Detect anomalies>> for memory usage and network traffic on hosts.
-** <<create-alerts,Create alerts>> that notify you when an anomaly is detected or a metric exceeds a given value.
-* In the <<explore-logs,Logs Explorer>>, search and filter your log data,
+** <<observability-detect-metric-anomalies,Detect anomalies>> for memory usage and network traffic on hosts.
+** <<observability-create-manage-rules,Create alerts>> that notify you when an anomaly is detected or a metric exceeds a given value.
+* In the <<observability-discover-and-explore-logs,Logs Explorer>>, search and filter your log data,
 get information about the structure of log fields, and display your findings in a visualization.
 You can also:
-** <<monitor-datasets,Monitor log data set quality>> to find degraded documents.
+** <<observability-monitor-datasets,Monitor log data set quality>> to find degraded documents.
 ** {kibana-ref}/xpack-ml-aiops.html#log-pattern-analysis[Run a pattern analysis] to find patterns in unstructured log messages.
-** <<create-alerts,Create alerts>> that notify you when an Observability data type reaches or exceeds a given value.
+** <<observability-create-manage-rules,Create alerts>> that notify you when an Observability data type reaches or exceeds a given value.
 * Use {kibana-ref}/xpack-ml.html[machine learning] to apply predictive analytics to your data:
 ** {kibana-ref}/xpack-ml-anomalies.html[Detect anomalies] by comparing real-time and historical data from different sources to look for unusual, problematic patterns.
 ** {kibana-ref}/xpack-ml-aiops.html#log-rate-analysis[Analyze log spikes and drops].
 ** {kibana-ref}/xpack-ml-aiops.html#change-point-detection[Detect change points] in your time series data.
 
-Refer to the <<observability-introduction>> for a description of other useful features.
+Refer to the <<what-is-observability-serverless>> for a description of other useful features.