Log Monitoring Classic
Dynatrace automatically collects log and event data from a vast array of technologies. With generic log ingestion, you can stream log records to a system and have Dynatrace transform the stream into meaningful log messages.
Dynatrace supports all major third-party platforms and architectures.
You can rely on autodiscovered or manually added log sources for OneAgent. See OneAgent platform and capability support matrix.
Log Monitoring includes native support for Red Hat OpenShift and Kubernetes logs and events for Kubernetes platforms, workloads, and applications running inside Kubernetes.
Log Monitoring has native support for multicloud environments, including:
Dynatrace Log Monitoring supports open-source log data frameworks, including Fluentd and Logstash.
Generic log ingest
With generic log ingestion, you can stream log records to Dynatrace and have Dynatrace transform the stream into meaningful log messages. You can also use generic log ingestion to stream log records to Dynatrace using API.
Dynatrace Log Monitoring incorporates reshaping the incoming log data into the form you may need for better understanding, analysis, or further processing of your log data by Dynatrace. Using Dynatrace Pattern Language (DPL), you can define patterns using matchers and create a set of rules that Log Monitoring applies to ingested log data.