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As an observability platform grows, sending data straight from apps to backends becomes brittle. A telemetry pipeline sits in the middle to collect, transform, and route data reliably.

A telemetry gateway is a central tier of collectors that all apps send to. It decouples producers from backends so either side can change independently.

Two collector roles work together.

• Agent: runs near the app, lightweight collection
• Gateway: central, does heavy processing and routing

The pipeline can enrich, filter, batch, and redact data before it reaches storage, applying policy in one place.

A gateway can fan out the same data to multiple destinations, for example metrics to Prometheus and traces to two tracing systems during a migration.

The pipeline buffers and retries so a slow backend does not drop data or back up into applications.

• Queues smooth spikes
• Retries handle transient failures

With a gateway, swapping a backend or adding redaction needs no app redeploys. Producers only know the gateway endpoint.

Gateways scale horizontally behind a load balancer. Stateless collectors make adding capacity simple.

Because all data flows through it, the pipeline is the ideal place to sample, drop low-value telemetry, and enforce cardinality limits.

Centralizing flow lets you authenticate producers, encrypt in transit, and redact sensitive fields before anything is stored.

Apps with agents send OTLP to a horizontally scaled gateway that batches, samples, redacts, then routes to the right metrics, tracing, and logging backends.

You learned that a telemetry pipeline with a central gateway decouples producers from backends, enabling centralized processing, multi-backend routing, buffering, security, and cost control. Lightweight agents collect near the app while horizontally scaled gateways handle the heavy lifting.