Telemetry Formats

ReductrAI auto-detects and ingests 38+ telemetry formats. Just point your agents to port 8080.

No configuration needed. ReductrAI automatically detects the format of incoming telemetry.

Quick Setup

Point your existing observability agents to ReductrAI:

http://localhost:8080

That's it. ReductrAI will detect whether you're sending OTLP, Datadog, Prometheus, or any other supported format.

Traces

OTLP (gRPC)

OTLP (HTTP)

Jaeger

Zipkin

Datadog APM

AWS X-Ray

Tempo

Elastic APM

Dynatrace

AppDynamics

Honeycomb

Lightstep

Azure App Insights

GCP Cloud Trace

Metrics

Prometheus

OTLP Metrics

Datadog Metrics

StatsD

InfluxDB

Graphite

CloudWatch

Azure Monitor

GCP Monitoring

New Relic

SignalFx

Logs

OTLP Logs

Datadog Logs

Loki

FluentD

Fluent Bit

Syslog

Logstash

Splunk HEC

CloudWatch Logs

Azure Logs

GCP Logging

Sumo Logic

Papertrail

Loggly

Example Configurations

OpenTelemetry Collector

exporters:
  otlphttp:
    endpoint: http://localhost:8080

service:
  pipelines:
    traces:
      exporters: [otlphttp]
    metrics:
      exporters: [otlphttp]
    logs:
      exporters: [otlphttp]
      

Datadog Agent

# datadog.yaml
apm_config:
  enabled: true
  apm_dd_url: http://localhost:8080

logs_config:
  logs_dd_url: http://localhost:8080
      

Prometheus

# prometheus.yml
remote_write:
  - url: http://localhost:8080/api/v1/write
      

Fluentd

<match **>
  @type http
  endpoint http://localhost:8080/logs
  json_array true
</match>
      

Data Storage

All ingested telemetry is stored locally in DuckDB:

Data Type	Table	Query Example
Traces	`spans`	`SELECT * FROM spans WHERE service = 'api'`
Metrics	`metrics`	`SELECT * FROM metrics WHERE name = 'http_requests'`
Logs	`logs`	`SELECT * FROM logs WHERE level = 'error'`

Query your data locally with:

reductrai query "SELECT service, count(*) FROM spans GROUP BY service"