Collector use cases

When using the Collector, we recommend using the following features in the basic configuration, in addition to components specific to your use case.

  • Batching—to improve network performance and throughput
  • Memory Limitation—to avoid memory allocation related issues
  • Kubernetes Enrichment—to include Kubernetes-specific information in your requests and support data correlation in the Dynatrace backend

Use cases

Batching

Configure the OpenTelemetry Collector to send data in batches to the Dynatrace backend.

FluentD

FluentD

Configure the OpenTelemetry Collector to ingest data from FluentD.

gRPC to HTTP

Configure the OpenTelemetry Collector to transform a gRPC OTLP request to HTTP.

Histogram summaries

Configure the OpenTelemetry Collector to compute bucket summaries for histogram metrics.

Jaeger

Jaeger

Configure the OpenTelemetry Collector to ingest and transform Jaeger data into Dynatrace.

Kubernetes Enrichment

Configure the OpenTelemetry Collector to enrich OTLP requests with Kubernetes data.

Log files

Configure the OpenTelemetry Collector to ingest log files.

Mask sensitive data

Configure the OpenTelemetry Collector to mask sensitive data before forwarding to Dynatrace.

Memory Limitation

Configure the OpenTelemetry Collector to respect memory limits and not use excessive system resources.

Multiple backends

Configure the OpenTelemetry Collector to export to multiple backends.

Prometheus

Prometheus

Configure the OpenTelemetry Collector to scrape your Prometheus data.

Sampling

Configure the OpenTelemetry Collector to sample distributed traces.

StatsD

Configure the OpenTelemetry Collector to ingest StatsD data.

Syslog

Configure the OpenTelemetry Collector to ingest syslog data.

Transforming and filtering

Configure the OpenTelemetry Collector to add, transform, and drop OpenTelemetry data.

Zipkin

Zipkin

Configure the OpenTelemetry Collector to ingest and transform Zipkin data into Dynatrace.