In today's rapidly evolving digital landscape, businesses are increasingly adopting agentic workflows – intelligent, automated processes that operate like a cohesive team, making decisions and executing tasks autonomously. These "Business-as-Code" paradigms promise unprecedented efficiency and innovation. However, with this power comes a critical challenge: gaining deep visibility into how these complex, distributed workflows are performing.
Enter trace.do.
trace.do is your essential partner for achieving unparalleled observability into your agentic workflows. It provides the tools you need to monitor, trace, and analyze every transaction and event, ensuring your automated business processes run smoothly and efficiently.
Agentic workflows represent a new frontier in automation. Think of them as sophisticated chains of intelligent agents, each performing a specific function, collaborating to achieve a larger business objective. This could range from dynamic order fulfillment and personalized customer service bots to intricate financial trading algorithms.
While incredibly powerful, their distributed and often autonomous nature can make them opaque. When something goes wrong – a payment fails, an order gets stuck, or an AI makes an unexpected decision – pinpointing the root cause in a complex chain of agents can be incredibly difficult without the right tools.
This is where observability becomes not just a nice-to-have, but a critical imperative. Observability grants you the ability to answer questions about your system's internal state merely by examining its external outputs. For agentic workflows, this means:
trace.do is specifically engineered to address the unique observability needs of agentic workflows. It focuses on capturing and presenting rich, structured data that tells the full story of every transaction and event within your Business-as-Code environment.
Imagine a payment transaction:
[
{
"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 is just a glimpse of the kind of data trace.do captures. For every step, every decision, and every interaction within an agentic workflow, trace.do logs crucial details: timestamps, event IDs, service names, operations performed, their status, duration, and rich metadata. This comprehensive data allows you to reconstruct the entire journey of any business process, whether it succeeded or, more importantly, when it failed.
trace.do captures detailed event data and allows you to visualize and analyze the flow and performance of your Agentic Workflows. This structured data is key to understanding the intricate interactions within your Business-as-Code systems.
trace.do generates structured trace data, often in formats like OpenTelemetry or custom JSON, depending on your integration. Our goal is to provide flexible formats that are easily consumable by your existing tools.
Yes, trace.do is designed to be integrated with other observability tools and platforms through standard APIs and data formats. We believe in an open ecosystem where you can leverage your current investments.
Don't let the complexity of agentic workflows hinder your progress. With trace.do, you can gain the deep visibility and control necessary to confidently deploy and manage your Business-as-Code initiatives. Transform opacity into clarity and unlock the full potential of your automated processes.
Observe Business-as-Code with trace.do. Visit trace.do to learn more.