OpenTelemetry | Uptrace

Why OpenTelemetry?

OpenTelemetry is the industry standard for collecting, processing, and exporting telemetry data. New to OpenTelemetry? Learn the basics with our What is OpenTelemetry guide.

Complete Visibility

Gain deep insights into your applications with distributed tracing, metrics, and structured logging all in one unified platform.

Vendor Neutral

Avoid vendor lock-in with open standards. Export your telemetry data to any observability backend of your choice.

High Performance

Built for production workloads with minimal overhead. Efficient data collection and processing at scale.

Easy Integration

Auto-instrumentation and simple APIs make it easy to add observability to existing applications.

Multi-Language

Comprehensive support for Java, Python, Go, JavaScript, .NET, Ruby, PHP, and many more languages.

Cloud Native

Purpose-built for microservices, containers, and serverless architectures. CNCF graduated project.

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Convenience

OpenTelemetry provides high-quality instrumentation libraries that allow you to get started with little to no code changes.

Flexibility

OpenTelemetry is open source and free, which allows you to easily try different vendors without changing the instrumentation.

Efficiency

OpenTelemetry is designed to be lightweight and introduces minimal performance overhead when configured correctly.

OpenTelemetry Use Cases

Discover how OpenTelemetry powers observability across different scenarios.

Microservices Monitoring

Track requests across service boundaries and identify bottlenecks in distributed architectures.

Performance Debugging

Pinpoint slow queries, memory leaks, and performance regressions with detailed trace data.

Business Intelligence

Transform operational metrics into business insights with custom metrics and dashboards.

SLA Monitoring

Track service level objectives and alert on SLA violations before they impact users.

Root Cause Analysis

Quickly identify the source of issues with correlated traces, metrics, and logs.

Capacity Planning

Make data-driven decisions about infrastructure scaling based on actual usage patterns.

The Three Pillars of Observability

Gain complete visibility into your applications with metrics, logs, and traces. These three data types work together to provide comprehensive insights into system performance and health.

Tracing

Follow requests as they flow through distributed systems. Understand latency, identify bottlenecks, and visualize the complete journey of each transaction across services.

Logs

Structured or unstructured text records that provide detailed context about events. Correlate logs with traces and metrics for comprehensive debugging and monitoring.

Metrics

Numerical measurements that provide insights into the performance and behavior of your applications. Track response times, error rates, throughput, and custom business metrics.