Workload Applications

DeepTrace includes test microservice applications for demonstrating distributed tracing capabilities. These applications generate realistic network traffic patterns that help you understand how DeepTrace collects and correlates traces.

Available Workloads

BookInfo Application

Overview

BookInfo is a simple microservices application that displays information about books. It consists of four services:

• Product Page: Frontend service that displays book information
• Details Service: Provides book details (author, ISBN, etc.)
• Reviews Service: Manages book reviews
• Ratings Service: Provides book ratings

Quick Deployment

# Navigate to BookInfo directory
cd tests/workload/bookinfo

# Deploy all services
sudo bash deploy.sh

Generate Traffic

# Generate test traffic to create traces
sudo bash client.sh

The client script will:

• Send HTTP requests to the product page
• Trigger inter-service communication
• Generate network traffic for DeepTrace to capture

Cleanup

# Stop and remove all services
sudo bash clear.sh

Social Network Application

Overview

Social Network is a complex microservices application that implements a Twitter-like social media platform. It includes services for:

• User management and authentication
• Timeline and post management
• Media handling and storage
• Social graph and recommendations
• Notification systems

Quick Deployment

# Navigate to Social Network directory
cd tests/workload/socialnetwork

# Deploy the full application stack
bash deploy.sh

Generate Traffic

# Generate realistic social media traffic
bash client.sh

The client generates:

• User registration and login requests
• Post creation and timeline updates
• Social interactions (likes, follows)
• Media uploads and downloads

Cleanup

# Stop and remove all services
bash clear.sh

Integration with DeepTrace

Workflow with Workloads

1. Deploy DeepTrace: Follow the Quick Start Guide
2. Deploy workload: Choose BookInfo or Social Network
3. Start agent: Begin collecting traces
4. Generate traffic: Run client scripts to create network activity
5. Process traces: Run correlation and assembly
6. Analyze results: View traces in Kibana

Example Complete Workflow

# 1. Deploy workload application
cd tests/workload/bookinfo
sudo bash deploy.sh

# 2. Start DeepTrace agent
sudo docker exec -it deeptrace_server python -m cli.src.cmd agent run

# 3. Generate traffic
sudo bash client.sh

# 4. Process traces
sudo docker exec -it deeptrace_server python -m cli.src.cmd asso algo deeptrace
sudo docker exec -it deeptrace_server python -m cli.src.cmd assemble

# 5. View results in Kibana at http://YOUR_SERVER_IP:5601

Additional Resources

For detailed deployment instructions and architecture information:

• BookInfo: BookInfo README
• Social Network: Social Network README
• Basic Usage: Basic Usage Guide for trace collection and analysis