apm: Document sampling.tail.discard_on_write_failure config

solutions/observability/apm/tail-based-sampling.md

@@ -85,6 +85,18 @@ Policies map trace events to a sample rate. Each policy must specify a sample ra
 | APM Server binary | `apm-server.sampling.tail.policies` |
 | Fleet-managed | `Policies` |
 
+### Discard On Write Failure [sampling-tail-discard-on-write-failure-ref]
+
+Defines the indexing behavior when trace events fail to be written to storage (for example, when the storage limit is reached). When set to `false`, traces bypass sampling and are always indexed, which significantly increases the indexing load. When set to `true`, traces are discarded, causing data loss which can result in broken traces. The default is `false`.
+
+Default: `false`. (bool)
+
+|                              |                                          |
+|------------------------------|------------------------------------------|
+| APM Server binary            | `apm-server.sampling.tail.discard_on_write_failure` |
+| Fleet-managed {applies_to}`stack: ga 9.1` | `Discard On Write Failure`               |
+
+
 ### Storage limit [sampling-tail-storage_limit-ref]
 
 The amount of storage space allocated for trace events matching tail sampling policies. Caution: Setting this limit higher than the allowed space may cause APM Server to become unhealthy.
@@ -93,7 +105,7 @@ A value of `0GB` (or equivalent) does not set a concrete limit, but rather allow
 
 If this is not desired, a concrete `GB` value can be set for the maximum amount of disk used for tail-based sampling.
 
-If the configured storage limit is insufficient, it logs "configured limit reached". The event will bypass sampling and will always be indexed when storage limit is reached.
+If the configured storage limit is insufficient, it logs "configured limit reached". When the storage limit is reached, the event will be indexed or discarded based on the [Discard On Write Failure](#sampling-tail-discard-on-write-failure-ref) configuration.
 
 Default: `0GB`. (text)
 

solutions/observability/apm/transaction-sampling.md

@@ -146,7 +146,7 @@ Due to [OpenTelemetry tail-based sampling limitations](/solutions/observability/
 
 Tail-based sampling (TBS), by definition, requires storing events locally temporarily, such that they can be retrieved and forwarded when a sampling decision is made.
 
-In an APM Server implementation, the events are stored temporarily on disk instead of in memory for better scalability. Therefore, it requires local disk storage proportional to the APM event ingestion rate and additional memory to facilitate disk reads and writes. If the [storage limit](/solutions/observability/apm/tail-based-sampling.md#sampling-tail-storage_limit-ref) is insufficient, sampling will be bypassed.
+In an APM Server implementation, the events are stored temporarily on disk instead of in memory for better scalability. Therefore, it requires local disk storage proportional to the APM event ingestion rate and additional memory to facilitate disk reads and writes. If the [storage limit](/solutions/observability/apm/tail-based-sampling.md#sampling-tail-storage_limit-ref) is insufficient, trace events are indexed or discarded based on the [discard on write failure](/solutions/observability/apm/tail-based-sampling.md#sampling-tail-discard-on-write-failure-ref) configuration.
 
 It is recommended to use fast disks, ideally Solid State Drives (SSD) with high I/O per second (IOPS), when enabling tail-based sampling. Disk throughput and I/O may become performance bottlenecks for tail-based sampling and APM event ingestion overall. Disk writes are proportional to the event ingest rate, while disk reads are proportional to both the event ingest rate and the sampling rate.