In OpenTelemetry Python, detaching a context token that was created in a different context can raise a `ValueError`. This occurs when asynchronous operations, such as generators or coroutines, are finalized in a different context than they were created, leading to context management errors and potential trace data loss.
If the Datadog agent or client libraries do not detect a configured API key, they will skip sending metrics, logs, and events. This results in a silent failure of observability reporting, often visible only through startup log messages.
The OpenTelemetry Collector may drop telemetry data when an exporter backend responds with a 413 Payload Too Large error. This typically happens when large batches of metrics, logs, or traces exceed the maximum payload size accepted by the backend. By default, the collector drops these payloads unless retry behavior is explicitly enabled.
\- The Datadog Agent is unable to scrape metrics from an OpenMetrics endpoint, returning a 404 Not Found error.
Alloy detects the Loki is dropping log lines because they exceed the configured maximum line size.
Loki ingester encounters \"object too large for cache\" errors when attempting to store log entries
Loki compactor encounters schema configuration mismatches when it finds index tables in object storage
Loki distributor encounters \"empty ring\" errors when attempting to send streams to pattern ingesters.
DataDog Agent encounters \"empty targets meta in director local store\" errors when attempting to
Grafana Mimir's distributor rejects incoming Prometheus series when the number of label
Loki ingester reports memcached errors indicating out\-of\-memory conditions while caching