Agentic Workflows, these sophisticated systems powered by Business-as-Code principles, are becoming increasingly prevalent. They automate complex processes, making businesses more efficient and agile. However, with increased complexity comes the challenge of understanding what's happening inside these workflows. When something goes wrong, or performance degrades, pinpointing the exact cause can feel like searching for a needle in a haystack. This is where tracing and observability become indispensable.
At trace.do, we specialize in giving you deep visibility and observability into your Agentic Workflows. We believe that true mastery of these dynamic systems requires understanding every single step, every transaction, and every event.
Imagine a complex Agentic Workflow that handles customer orders. It involves multiple services, perhaps interacting with AI agents, payment gateways (like seen in our example below), inventory systems, and fulfillment services. If an order fails or experiences a delay, where do you start looking? Is it a bottleneck in the payment processing? An issue with inventory look-up? Or perhaps an error in the AI agent's reasoning?
Without proper tracing, debugging these issues can be incredibly time-consuming and frustrating. You might have scattered logs, but piecing together the complete picture across multiple services is a manual and often error-prone process.
trace.do provides a powerful solution: function-level tracing. We capture detailed event data at each stage of your workflow, allowing you to reconstruct the entire journey of a transaction or process. Think of it as a breadcrumb trail left by your Agentic Workflow as it executes.
Our system monitors, traces, and analyzes every event, providing you with a comprehensive view. Consider the example JSON trace data we provide:
[
{
"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 example shows two events that are likely part of the same overall order processing workflow. By analyzing this data, you can see that the payment processing was successful and relatively quick (150ms). However, the subsequent order creation failed due to "Inventory not available" after 220ms. This information is invaluable for quickly identifying the source of the problem – in this case, likely an issue with the inventory system or a stock discrepancy.
Function-level tracing isn't just for debugging failures. It's also a powerful tool for optimizing performance. By analyzing the duration of each operation within your workflow, you can pinpoint bottlenecks that are slowing down the entire process.
Is a specific external API call consistently taking too long? Is a particular internal function consuming excessive resources? Trace data provides tangible metrics like durationMs that highlight these areas for improvement. This allows you to focus your optimization efforts where they will have the greatest impact, leading to faster, more efficient Agentic Workflows.
trace.do is specifically designed to help you Observe Business-as-Code. We understand the unique challenges of monitoring these dynamic and often distributed systems. Our tools allow you to:
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.
Don't let the complexity of Agentic Workflows leave you in the dark. With trace.do, you can gain the deep visibility and observability you need to understand, debug, and optimize your Business-as-Code processes.
Visit trace.do to learn more and start tracing your workflows today. Gain control, improve performance, and unlock the full potential of your agentic systems.