To analyze Drupal logs in the ELK Stack, first choose how Drupal emits each event—Database Logging for review inside Drupal, Syslog for the host’s logging facility, or structured JSON to a stream such as stderr. Then collect that output with a shipper, ingest it into Logstash or another supported Elastic path, and search or visualize indexed events in Kibana. The right route depends on your hosting environment and the structure you need.
How Drupal logging becomes searchable in ELK
In current Drupal, application code writes events through the Logging API, which is compatible with PSR-3. A module can inject a logger service or use a channel logger directly; for example, Drupal::logger('my_module')->error($message);. Drupal 7’s watchdog() calls belong to the older approach. See Drupal’s Logging API overview, last updated 9 June 2025.
Logging and analysis are separate stages. Drupal creates an event, an output destination receives it, a shipper transports it, and an ingestion system indexes it for search. Kibana can then query or visualize the indexed events. A typical route is Drupal → syslog or structured output → shipper → Logstash or another supported Elastic ingestion path → Elasticsearch → Kibana. This is a conceptual architecture, not a required product sequence: select components compatible with your actual deployment.
Choose where Drupal writes its logs
| Output path | Where events go first | Useful when | Important limitation |
|---|---|---|---|
Database Logging (dblog) |
Drupal’s database | You want a recent-log view in Drupal for routine review or troubleshooting. | It is not, by itself, a centralized production pipeline. |
| Drupal Syslog module | The host operating system’s logging facility | Your host exposes syslog and you can configure a collector or route messages onward. | Drupal’s guide says it is unsuitable for shared hosting. |
| Structured Logger project | A selected target such as stderr, file, syslog, or database |
You want JSON fields and custom metadata that downstream tools can parse. | Its production recommendation assumes the host or container logging setup can capture the chosen stream. |
Database Logging for Drupal-side review
The core Database Logging module stores events in Drupal’s database and provides an administrative recent-log view. That can make it convenient for reviewing events in the site itself, especially during troubleshooting. Its storage location is different from a centralized ELK pipeline; use it when the Drupal-side view is useful, but do not mistake enabling it for shipping events to Elasticsearch. Details are in Drupal’s Database Logging module overview.
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Syslog for host-level routing
The Drupal Syslog module sends messages to the operating system’s logging facility. Drupal’s Syslog module guide, last updated 30 August 2024, describes setting an identity and facility, configuring rsyslog to write matching messages to a separate file, and checking that file. A shipper can collect that file or facility and forward events toward Logstash. The guide describes this route as suitable for medium and large sites, but not shared hosting, where the required syslog access may not be available.
Disabling Database Logging is optional, not a universal requirement. Decide whether keeping Drupal’s database-backed log view is useful for your site, and account for the storage and operational needs of each enabled destination.
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Structured JSON and stderr
The contributed Drupal Logger project documents JSON output with selected fields and arbitrary metadata. Its listed targets include stderr, file, syslog, database, HTTP, and cloud destinations. The project page recommends writing production logs to stderr so a scraper can capture and parse them. Treat that as the project’s recommendation rather than a universal host rule: confirm that your process manager, container platform, or host collects the stream and that the collector preserves the JSON fields you need.
Route events from Drupal into Elastic
Once you have chosen an output, configure a collector or shipper to read it and send events to your selected ingestion path. For syslog, that may mean routing messages through the host facility or an rsyslog-managed file. For structured output, it may mean scraping the application’s stderr stream. The shipper’s job is to bridge that source to Logstash or another supported Elastic ingestion route; the exact configuration depends on the deployed components and their versions.
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A 2016 DrupalCon Dublin presentation, “Drupal Watchdog logs – shipping”, illustrates a historical Watchdog-to-ELK path using syslog and Filebeat before Logstash. It is useful as a high-level example of separating Drupal output, collection, and ingestion, but its Filebeat configuration is from 2016 and should not be copied as current configuration.
Elastic documents a Logstash syslog input plugin for syslog ingestion. Confirm the plugin’s current configuration and the rest of your pipeline in Elastic’s documentation for the versions you run rather than assuming an old Drupal or Filebeat example still applies.
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Check compatibility across the deployed stack
Compatibility is a property of the whole route, not just Drupal and Logstash. Check the versions of Drupal, the output module, the shipper, Logstash, Elasticsearch, and Kibana together before rollout. Drupal’s logging module and API guidance should match the Drupal release in use; Elastic’s version requirements should match the particular integration and products deployed.
At the time represented by Elastic’s surfaced Logstash integration documentation, it lists integration version 2.10.1, minimum Kibana 9.0.0, and compatibility with Logstash 8.5.0 and later. These are integration compatibility details, not a promise that every Drupal-to-ELK combination works; Elastic’s current page should be checked when selecting or upgrading components.
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Validate the route before relying on it
- Generate a recognizable Drupal event. Log a test event through the same channel and severity your application uses, then verify the event reaches the selected first destination.
- Check the output format and fields. For syslog or a file, confirm the message is present in the expected facility or file. For structured logging, confirm the captured record is valid JSON and includes the fields and metadata needed for filtering.
- Confirm collection and ingestion. Verify the shipper reads the source and that Logstash or the chosen Elastic ingestion path accepts the event without parsing or connectivity errors.
- Search in Kibana. After indexing, search for the distinctive test message and inspect its timestamp, severity, channel, and other fields. If it is missing or malformed, trace the path stage by stage, from Drupal output to collector to ingestion and index.
Drupal’s logging and alert modules have their own branch-support details; check the relevant project documentation against your Drupal version before adding one to the route. A working test event proves the path for that event and configuration, not compatibility or completeness for every log type in production.
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