Examples

This repository contains various examples to generate, collect and transmit telemetry, and is typically referenced by Dash0 guides, blog posts and the integration hub.

Available Demos

Java Instrumentation

A comprehensive example demonstrating OpenTelemetry auto-instrumentation for Java applications. This demo includes:

• Multi-service Java application (Todo API, Validation service, React frontend)
• Automatic instrumentation using OpenTelemetry Java agent
• Full observability stack (Jaeger, Prometheus, OpenSearch)
• Deployment options for both Docker Compose and Kubernetes

Technologies: Java, Spring Boot, React, OpenTelemetry, Docker, Kubernetes

OpenTelemetry Collector

Examples showing how to configure and deploy the OpenTelemetry Collector in various environments:

• Docker deployment: Run the collector in Docker with sample applications
• Additional collector configurations and deployment patterns

Technologies: OpenTelemetry Collector, Docker, OTLP

Traefik Ingress with Observability

A complete Traefik ingress controller demo with full observability using OpenTelemetry and Dash0. This demo showcases:

• Multi-node Kind cluster with Traefik v3.5 as ingress controller
• OTLP metrics and distributed tracing from Traefik
• OpenTelemetry Collectors (DaemonSet + Deployment) for comprehensive telemetry collection
• Node.js demo application with auto-instrumentation and trace propagation
• Load generation scripts for testing observability

Technologies: Traefik, Kubernetes (Kind), OpenTelemetry, Node.js, Helm

Host Metrics Collection

Demonstrates collecting system-level metrics from Kubernetes nodes using the OpenTelemetry Collector's hostmetrics receiver:

• 2-node Kind cluster setup
• OpenTelemetry Collector DaemonSet on all nodes
• Comprehensive host metrics collection (CPU, memory, disk, network, processes)
• Direct export to Dash0 via OTLP

Technologies: OpenTelemetry Collector, Kind, Kubernetes, Helm

KEDA Auto-scaling with Dash0

Demonstrates Kubernetes auto-scaling using KEDA with OpenTelemetry metrics exported to Dash0:

• HTTP-based scaling: Scale based on request rate from Dash0 metrics
• RabbitMQ queue-based scaling: Scale consumers based on queue depth (scale-to-zero capable)
• OpenTelemetry Collector exporting metrics to Dash0
• KEDA configured to use Dash0 as metrics source via Prometheus API
• Producer/Consumer Node.js services with full observability

Technologies: KEDA, OpenTelemetry Collector, Kind, Kubernetes, Node.js, RabbitMQ, Helm

Dapr Microservices

A comprehensive Dapr (Distributed Application Runtime) demonstration showcasing microservices architecture with full observability:

• Multi-service Java application (Todo, Validation, Notification services + React frontend)
• Dapr features: state management, pub/sub messaging, service-to-service invocation
• PostgreSQL and RabbitMQ integration via Dapr components
• Complete observability with OpenTelemetry and distributed tracing

Technologies: Dapr, Java, Spring Boot, React, PostgreSQL, RabbitMQ, OpenTelemetry, Kind, Kubernetes

Getting Started

1. Prerequisites: Ensure you have Docker installed and a Dash0 account
2. Environment Setup: Copy .env.template to .env and configure your Dash0 credentials
3. Choose a Demo: Navigate to any demo directory and follow its README instructions
4. Run the Example: Each demo includes setup scripts for easy deployment

Each example directory contains its own comprehensive README with detailed setup and usage instructions.