Observability

When an integration fails, the question shouldn't be "in which of these ten systems?".

Observability is the dashboard that shows what's running, what failed, and where, the moment it happens, not after the customer complains.

The Problem

Without a central dashboard, every failure becomes an investigation

A flow goes through an ERP, e-commerce, bank, and AI agents. Without a central dashboard, finding the failure means checking logs from system to system, and that only starts after a customer has already complained.

How Fluid Acts

Every flow visible on a central dashboard

A dashboard shows what's running, what has run, and what has failed, and at which step. The team sees the problem the moment it happens, already knowing where it originated.

The same dashboard also serves as a traceability base for auditing: any execution, including decisions and actions taken by AI agents within the flow, is logged and can be queried.

Understand how Fluid orchestrates →iPaaS & Integration →

Business exceptions

An order that didn't match the inventory.

Technical failures

An API call that didn't respond.

On the same dashboard

Results

What this means in practice

  • Failures identified in the moment, not after the side effects

    The team sees the problem before it becomes a customer complaint.

  • Less investigation time per incident

    Instead of checking system by system, the problem's source appears directly on the dashboard.

  • Traceability for auditing

    Every flow execution, including actions by AI agents, is logged and can be queried later.

  • Unified visibility, even in multi-system environments

    The complexity of having multiple connected systems doesn't mean having multiple different dashboards to check.

FAQ

Frequently asked questions

Does this show only technical failures, or business exceptions as well?

Both. A technical failure (an API being down) and a business exception (an order not matching inventory) appear on the same dashboard, with context on where in the flow each occurred.

Can I audit what an AI agent decided to do within a flow?

Yes. Every action an agent takes is recorded in the same trace as the rest of the flow, allowing you to later reconstruct what was decided and executed.

Do I need to configure this separately for each integration?

No. Monitoring and traceability are part of the structure of any flow running on the platform, not an additional configuration per integration.

Does finding out where an integration failed still require checking system by system? With Fluid, the answer is on a single dashboard.