In today's complex digital landscape, understanding the intricate workings of your systems is no longer a luxury—it's a necessity. Especially with the rise of "Agentic Workflows" and "Business-as-Code," where autonomous agents and automated processes drive critical business functions, deep visibility is paramount. That's where trace.do comes in.
trace.do provides the tracing and observability tools you need to gain unprecedented insights into these dynamic workflows. Instead of just knowing what happened, trace.do helps you understand how it happened, why it happened, and where bottlenecks or failures occurred within your Agentic Workflows.
Agentic Workflows, by their nature, can be fast-moving, distributed, and incredibly complex. A single business transaction might involve multiple AI agents, microservices, external APIs, and internal systems. When something goes wrong, or performance degrades, pinpointing the root cause can feel like finding a needle in a haystack without the right tools.
trace.do addresses this challenge head-on. It allows you to:
Imagine a scenario where an automated customer support agent needs to process a refund. This could involve checking order history, verifying payment details, initiating a refund request with a payment gateway, and updating the customer's record. Each of these steps is a distinct event, and trace.do captures them all.
Here’s an example of the structured trace data you might see from trace.do:
[
{
"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 granular level of detail, presented in an easy-to-consume JSON format, makes it incredibly powerful for understanding the health and performance of your Business-as-Code processes.
We understand that you likely already have an investment in monitoring and observability tools. Building a new, isolated stack isn't always feasible or desirable. That's why trace.do is designed for seamless integration.
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. This data can then be exported or routed to your preferred tools.
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. This flexibility ensures compatibility with a wide range of platforms.
Can I integrate trace.do with my existing monitoring tools?
Absolutely. trace.do is designed to be integrated with other observability tools and platforms through standard APIs and data formats. Whether you're using a logging solution, a metrics dashboard, or a dedicated APM (Application Performance Monitoring) system, trace.do can feed its rich trace data into your current setup. This allows you to consolidate your visibility and leverage your existing expertise and dashboards.
By integrating trace.do, you're not replacing your current tools; you're enhancing them with specialized insights into the unique challenges and complexities of Agentic Workflows. This means a more unified view of your entire system, from traditional applications to cutting-edge AI-driven processes.
Gain deep visibility and observability into your Agentic Workflows with trace.do. Monitor, trace, and analyze every transaction and event, ensuring your Business-as-Code operates efficiently and reliably. Visit trace.do to learn more and begin your journey towards comprehensive workflow observability.
Keywords: trace.do, observability, tracing, agentic workflows, business-as-code, integration, monitoring tools, OpenTelemetry, data formats