Telflo Docs

The component library: receivers, processors, exporters, connectors, and extensions.

OpenTelemetry Collector pipelines are built from five kinds of components. Each has its own role and connection rules.

ReceiverProcessorExporterConnectorExtension

Type	Role	Connections
Receiver	Receives telemetry from a source	Outgoing only
Processor	Transforms telemetry in flight	Incoming and outgoing
Exporter	Sends telemetry to a destination	Incoming only
Connector	Joins two pipelines, as the exporter of one and the receiver of the next	Both, across pipelines
Extension	Adds capabilities outside the data path	None

To add a component, drag it from the palette onto the canvas. The palette is grouped by type, and each component is color-coded on the canvas.

The available components and fields depend on the collector version selected in the toolbar. The following lists cover the common set.

Receivers

Receiver	Description
`otlp`	OTLP over gRPC or HTTP. The most common entry point.
`prometheus`	Scrape Prometheus metrics endpoints.
`datadog`	Receive traces and metrics from Datadog agents.
`filelog`	Tail and parse log files.
`hostmetrics`	Host system metrics, such as CPU, memory, disk, and network.
`jaeger`	Jaeger traces over gRPC, HTTP, or UDP.
`zipkin`	Zipkin trace spans.
`k8s_cluster`	Kubernetes cluster-level metrics.
`k8s_events`	Kubernetes events.
`k8sobjects`	Kubernetes object state.
`kubeletstats`	Kubelet and container metrics.
`netflow`	Network flow data.
`syslog`	Syslog messages.
`statsd`	StatsD metrics.

Processors

Processor	Description
`batch`	Batch telemetry before export. Telflo recommends it on most pipelines to reduce export calls.
`memory_limiter`	Limit collector memory use. Place it first when used.
`resource`	Add or modify resource attributes.
`attributes`	Add, update, or remove attributes on spans, data points, or logs.
`filter`	Drop telemetry that matches a condition.
`probabilistic_sampler`	Head-based sampling at a fixed rate.
`tail_sampling`	Policy-based trace sampling after spans complete.
`k8sattributes`	Enrich telemetry with Kubernetes metadata.
`redaction`	Remove or mask attribute values.
`cumulativetodelta`	Convert cumulative metrics to delta.
`resourcedetection`	Detect resource attributes from the host and cloud environment.
`transform`	Apply OTTL statements to telemetry.

Exporters

Exporter	Description
`otlp`	OTLP over gRPC. The most common destination.
`otlphttp`	OTLP over HTTP.
`datadog`	Send traces, metrics, and logs to Datadog.
`loadbalancing`	Distribute telemetry across backend endpoints.
`zipkin`	Send trace spans to a Zipkin backend.
`debug`	Print telemetry to the collector console.
`file`	Write telemetry to a file.

Connectors

A connector is both an exporter and a receiver. It consumes telemetry at the end of one pipeline and emits telemetry into another, and it can change the signal type in between.

Connector	Description
`spanmetrics`	Generate request, error, and duration (RED) metrics from spans.
`forward`	Forward telemetry of the same signal type between pipelines: merge several pipelines into one, or fan one out into many. The input and output signal types must match, and it has no configuration.

Extensions

Extensions add capabilities that are not part of a pipeline.

Extension	Description
`health_check`	Expose an HTTP health endpoint.
`pprof`	Expose a performance-profiling endpoint.
`zpages`	Expose in-process debug pages.
`file_storage`	Persist state to disk, such as file offsets and sending queues.

Next steps

Connect components into pipelines. See Canvas & pipelines.

Components