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Engineering/Jul 14, 2026

Policies are Officially Part of OpenTelemetry

The Policy OTEP has been merged into OpenTelemetry!

Jacob Aronoff
Telemetry PoliciesTelemetry governance
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Introducing Policies

The agent-native telemetry layer.

From the creators of Vector.dev
and OpenTelemetry maintainers.
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Policies are Officially in OpenTelemetry

I’m happy to announce that after a long review cycle in OpenTelemetry, the Policies OpenTelemetry Enhancement Proposal (OTEP) has officially been merged!

Policies are a new standard for teams to manage logs, traces and metrics which evolved out of community discussions at KubeCon NA ‘25 about common problems when using OpenTelemetry at scale. Everyone shared stories around how configuration often doesn’t work as expected, changing configuration is too slow and difficult, and there is zero portability between components like Vector and OpenTelemetry Collector. All of this is happening while overall telemetry volume is growing faster than ever. Josh Suereth and I discussed a few ways the ecosystem was working to solve these challenges, but we weren’t convinced that any of them address all of our concerns. The OTEP came from these issues and I began building prototypes at Tero.

Policies introduce a novel method of configuration for telemetry that enables high-throughput filtering and transformation. It’s small enough to be run in an SDK or be run in a central gateway like an OpenTelemetry Collector, which can run thousands of these policies concurrently with no loss in performance versus using existing solutions (read more about that here). Policies are able to do this because they’re designed to be independent (one policy does not depend on another), this allows us to match the policies concurrently through the use of hyperscan, a high-performance regular expression engine. You can read more about our design for Tero’s policy engine here.

Before

The pipeline era

One giant config, one fragile pipeline

collector-config.yaml1,204 lines
processors:
  filter/logs:
    logs:
      log_record:
        - 'IsMatch(body, ".*/health.*")'
        - 'severity_number < 9'
  transform/pii:
    log_statements:
      - context: log
        statements:
          - replace_pattern(body, ...)
  filter/metrics: { ... }
service:
  pipelines:
    logs: [filter/logs, transform/pii, ...]
+ 1,180 more lines · edit carefully
Order-dependent chain
receive→filter→transform→filter→export

break one step, break everything downstream

  • ×Rules break down at high scale
  • ×Configurations require global reasoning
  • ×Filtering and transformation not portable
  • ×Remote configuration lacks guarantees
vs
After

Policies

Small, independent rules - matched all at once

drop-gateway-route-hops.yaml6 lines
id: drop-gateway-route-hops
log:
  match:
    - log_field: event
      equals: middleware_request
  keep: none
atomic · reviewable · reversible
Matched concurrently
in→
drop-health-checksredact-piidrop-debug-noise+ thousands more
→out

independent · Hyperscan-matched · no perf loss

  • ✓Independent by design
  • ✓Concurrent policy matching
  • ✓The same policy runs anywhere - SDK to gateway
  • ✓Reviewable, reversible, now an OTel standard
Run the same policy in
SDKOTel CollectorVectorTero EdgeGateway

The next steps for Policies will be integrating them into the OpenTelemetry ecosystem. We’re beginning by forming a project group around the effort to coordinate the workstreams. This group will work on formalizing the specification proposed in the OTEP, integrating policies into the OpenTelemetry collector, and specing what integration in an SDK through declarative config would look like. Before they are upstreamed into OpenTelemetry, you can begin using Policies through our open source tools like the edge, policy-go, or our policy processor.

Policies are an exciting new step for OpenTelemetry and the observability ecosystem. Configuration for telemetry can feel like whack-a-mole at times: you find a pesky log, you add a new rule in a pipeline, and another pops up a day later. Managing these systems can be even more frustrating; needing to handle huge volume at scale gets expensive as you need more compute in your environment and your vendor charges you even more. Policies help you solve this, Tero puts this on autopilot. We intelligently discover problems in your telemetry and proactively generate policies to solve them.

A MASSIVE thank you to Josh Suereth, Raphael Menderico and Jack Shirazi for coauthoring. Thank you to Jack Berg, Reiley Yang, Tigran Najaryan, David Ashpole, Josh MacDonald, Liudmila Molkova, Braydon Kains, Andrzej Stencel, James Thompson, Christoph Heger, Florian Lehner, and Antoine Toulme for their comments, discussions and reviews.