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Demo Applications

ollyScale includes several demo applications to help you explore its observability capabilities. These demos range from simple microservices to complex distributed systems.

Available Demos

Custom Demo Applications

Simple Python Flask microservices demonstrating core observability features:

  • Services: demo-frontend and demo-backend
  • Languages: Python
  • Features: Auto-traffic generation, distributed tracing, Prometheus metrics
  • Resource Usage: Low (~256MB)
  • Best For: Quick testing, development, learning basics

Key Highlights:

  • Automatic traffic generation every 3-8 seconds
  • Multiple endpoints (simple requests, calculations, complex orders, errors)
  • Easy to understand and modify
  • Minimal resource requirements

View Documentation →

OpenTelemetry Demo

The official OpenTelemetry demo application ("Astronomy Shop"):

  • Services: 11+ microservices
  • Languages: Go, Java, Python, .NET, Node.js, Rust, Ruby, PHP
  • Features: E-commerce workflows, built-in load generator, multi-language instrumentation
  • Resource Usage: High (~2-4GB)
  • Best For: Comprehensive demos, training, polyglot environments

Key Highlights:

  • Production-realistic distributed system
  • Showcases OTel instrumentation across 7+ languages
  • Complex distributed traces (10-20 spans)
  • Realistic user workflows (browse, cart, checkout, payment)

View Documentation →

Advanced Demos

eBPF Zero-Code Tracing

Automatic distributed tracing without code changes using eBPF:

  • Technology: eBPF with Beyla auto-instrumentation
  • Features: Zero-code instrumentation, HTTP/gRPC tracing
  • Best For: Legacy applications, no-modification observability

View Documentation →

AI Agent with Ollama

GenAI observability demo with LLM instrumentation:

  • Technology: Ollama LLM with OTel instrumentation
  • Features: LLM span attributes, token tracking, prompt/response logging
  • Best For: AI/ML observability, GenAI applications

View Documentation →

Quick Comparison

Demo Complexity Services Languages Resource Usage Auto-Traffic
Custom Demo Simple 2 Python Low ✅
OTel Demo Complex 11+ 7+ High ✅
eBPF Demo Medium 2 Go Low ❌
AI Agent Simple 1 Python Medium ✅

Deployment

All demos can be deployed via:

Helm

# Custom Demo
helm install ollyscale-demos charts/ollyscale-demos \
  --namespace ollyscale-demos \
  --create-namespace

# OTel Demo
helm install ollyscale-demos charts/ollyscale-demos \
  --set customDemo.enabled=false \
  --set otelDemo.enabled=true

cd .kind

# Enable Custom Demo
terraform apply -var="custom_demo_enabled=true"

# Enable OTel Demo
terraform apply -var="otel_demo_enabled=true" -var="custom_demo_enabled=false"

Accessing Demos

After deployment, demos are available via HTTPRoutes:

  • Custom Demo Frontend: https://demo-frontend.ollyscale.test:49443
  • OTel Demo: https://otel-demo.ollyscale.test:49443
  • ollyScale UI: https://ollyscale.ollyscale.test:49443

Viewing Telemetry

All demos send telemetry to ollyScale. Open the ollyScale UI to explore:

  1. Service Map: Visual representation of service dependencies
  2. Traces: Distributed traces with timing and attributes
  3. Logs: Application logs with trace correlation
  4. Metrics: RED metrics (Rate, Errors, Duration)

Choosing a Demo

For Learning/Development:

  • Start with Custom Demo - simple, fast, easy to understand

For Demonstrations/Training:

  • Use OTel Demo - comprehensive, production-realistic

For Polyglot Environments:

  • Use OTel Demo - showcases multiple languages

For Legacy Applications:

  • Try eBPF Demo - no code changes required

For AI/ML Workloads:

  • Try AI Agent - GenAI-specific instrumentation

Migration

If you're migrating from the old k8s-demo/ or k8s-otel-demo/ directories, see the migration sections in:

Support

For issues or questions: