Supported data ingestion methods

Uptrace supports multiple ingestion methods to collect traces, metrics, and logs from your applications and infrastructure. This guide helps you choose the right approach for your use case.

Quick decision guide

Starting fresh with observability?
Use the OpenTelemetry SDK for your programming language. It provides traces, metrics, and logs with full control over instrumentation.

Need zero-code instrumentation?
Use OpenTelemetry eBPF to automatically capture HTTP, gRPC, SQL, and other traffic without code changes.

Already using Prometheus or Grafana?
Use Prometheus remote write to forward metrics while keeping PromQL compatibility.

Collecting infrastructure metrics?
Use the OpenTelemetry Collector to monitor host metrics, databases, and other systems.

Forwarding logs from files or systems?
Use Vector or FluentBit for high-performance log collection.

Migrating from Sentry?
Use the Sentry SDK integration to send error tracking data to Uptrace.

OpenTelemetry native

These methods use OpenTelemetry Protocol (OTLP) natively and provide the most complete observability.

MethodSignalsBest for
OpenTelemetry SDKTraces, Metrics, LogsApplications with code access. Configure SDKs for Go, Python, Java, JavaScript, Ruby, PHP, .NET, Rust, and more.
OpenTelemetry CollectorTraces, Metrics, LogsInfrastructure monitoring, data transformation, and routing. Acts as a central hub for telemetry.
OTel ArrowTraces, Metrics, LogsHigh-volume deployments. Uses Apache Arrow for 50-70% bandwidth reduction compared to standard OTLP.
OpenTelemetry eBPFTraces, MetricsZero-code instrumentation. Captures HTTP, gRPC, SQL at the kernel level for any language.

Metrics collection

These methods focus on collecting metrics from various sources.

MethodDescription
PrometheusForward Prometheus metrics via remote write or Collector receivers. Keeps PromQL queries compatible.
AWS CloudWatchShip AWS CloudWatch metrics and logs via Data Firehose or YACE exporter.
TelegrafOutput Telegraf metrics through the OpenTelemetry plugin.

Log forwarding

These methods specialize in collecting and forwarding logs to Uptrace.

MethodDescription
VectorHigh-performance log collection with VRL transforms. Blazingly fast and memory efficient.
FluentBitLightweight log processor with OpenTelemetry output. Great for containerized environments.
LokiBridge Promtail or Grafana Agent logs via the Collector's Loki receiver.
HerokuCollect Heroku platform logs using Logplex and Vector.

Error tracking and legacy protocols

MethodSignalsDescription
Sentry SDKTraces, ErrorsUse existing Sentry SDKs with Uptrace. Good for JavaScript browser apps and error tracking.
JaegerTracesAccept spans from existing Jaeger agents via Collector receiver.

Summary table

MethodTracesMetricsLogsCode changes
OpenTelemetry SDKRequired
OpenTelemetry CollectorNone
OTel ArrowNone
OpenTelemetry eBPFNone
PrometheusNone
AWS CloudWatchNone
TelegrafNone
VectorNone
FluentBitNone
LokiNone
HerokuNone
Sentry SDKMinimal
JaegerNone