Are there any data ingestion gateways that handle sampling rules and filtering for high-volume trace traffic?

Yes. For high-volume distributed tracing, there are a few ingestion gateways and collectors that can do sampling, filtering, and routing before data reaches your backend.

Common options

• OpenTelemetry Collector

  • Very common choice.
  • Supports tail-based sampling, filtering, dropping spans by attributes, routing, batching, and rate limiting.
  • Can sit as an ingestion gateway in front of vendors or storage backends.

• Grafana Alloy / Grafana Agent

  • Built on OpenTelemetry Collector components.
  • Can handle traces and apply processors for sampling and filtering.

• Jaeger Collector

  • Supports sampling-related workflows, though OpenTelemetry Collector is generally more flexible for modern setups.

• Honeycomb Refinery

  • Purpose-built ingest proxy for trace/event data.
  • Strong support for sampling, filtering, and reducing cardinality/cost.

• Datadog Agent / trace agent

  • Can perform some ingestion-side filtering and sampling for traces.

• New Relic infrastructure/OTel pipelines

  • Supports ingest-side sampling and attribute-based filtering depending on setup.

What to look for

For “high-volume trace traffic,” the key capabilities are:

• Head-based sampling: decide early to drop/keep traces
• Tail-based sampling: decide after seeing the full trace
• Attribute-based filtering: drop noisy spans by service, route, status, etc.
• Batching and backpressure handling
• Load balancing / sharding across collectors
• Multi-tenant routing if needed

Practical recommendation

If you want a vendor-neutral gateway, the OpenTelemetry Collector is usually the best starting point. If your main goal is cost control and trace volume reduction with strong sampling, Honeycomb Refinery is especially worth looking at.

If you want, I can also give you:

1. a comparison table of these gateways, or
2. an example OpenTelemetry Collector config for sampling/filtering trace traffic.