The world of business is rapidly evolving, with "Business-as-Code" and "Agentic Workflows" taking center stage. These sophisticated systems, powered by AI and automation, promise unprecedented efficiency and scalability. However, the very complexity that makes them powerful can also make them opaque and challenging to manage. This is where trace.do steps in, offering the critical visibility needed to truly understand and optimize these cutting-edge processes.
Agentic workflows, where autonomous agents collaborate to execute complex business logic, are distributed, dynamic, and often non-linear. This makes traditional monitoring approaches insufficient. When something goes wrong, pinpointing the root cause in a tangled web of interconnected agents and services can be a daunting task. Without deep visibility, troubleshooting becomes a time-consuming guessing game, impacting efficiency and potentially leading to significant business disruptions.
trace.do is specifically designed to provide the necessary tracing and observability for these modern, agentic workflows. It gives you unparalleled insight into every step of your Business-as-Code processes, allowing you to:
trace.do captures rich, structured data for every event within your workflows. This data provides a clear and concise record of what happened, when it happened, and why.
[
{
"timestamp": "2023-10-27T10:00:00Z",
"eventId": "txn_abc123",
"service": "payment-gateway",
"operation": "processPayment",
"status": "success",
"durationMs": 150,
"metadata": {
"userId": "user_xyz789",
"amount": 50.00,
"currency": "USD"
}
},
{
"timestamp": "2023-10-27T10:00:05Z",
"eventId": "order_def456",
"service": "order-fulfillment",
"operation": "createOrder",
"status": "failed",
"durationMs": 220,
"error": "Inventory not available",
"metadata": {
"orderId": "order_def456",
"items": ["itemA", "itemB"]
}
}
]
This detailed information, often generated in formats like OpenTelemetry or custom JSON, is crucial for understanding the health and performance of your agentic systems. You can see not only the success or failure of an operation but also the context surrounding it, such as user IDs, amounts, and error messages.
trace.do is built with interoperability in mind. It's designed to integrate with your existing monitoring tools and platforms through standard APIs and data formats, allowing you to leverage your current observability ecosystem. This ensures a smooth adoption process and allows you to consolidate your monitoring efforts.
As Business-as-Code and agentic workflows continue to evolve, trace.do will remain a vital tool for ensuring transparency, reliability, and performance. By making complex processes understandable, trace.do empowers businesses to fully harness the potential of these innovative technologies.
How does trace.do help with observability?
trace.do captures detailed event data and allows you to visualize and analyze the flow and performance of your Agentic Workflows.
What format does trace.do use for trace data?
trace.do generates structured trace data, often in formats like OpenTelemetry or custom JSON, depending on your integration.
Can I integrate trace.do with my existing monitoring tools?
Yes, trace.do is designed to be integrated with other observability tools and platforms through standard APIs and data formats.
Ready to gain deep visibility into your Agentic Workflows? Learn more at trace.do.