Xano runs your whole backend, so it can show you what it is doing, function by function. Trace any request to the exact step that failed, then debug it with real production inputs.
A request just failed. What did the system do? Most stacks answer three layers down, in container logs and metrics, and leave the correlation to you. As AI writes more of your logic, “nobody knows what it does” stops being a figure of speech.
Request history, traces, step-through debugging, audit trails, error logs and agent traces, built into the platform rather than bolted on.
Every API request, recorded: inputs, outputs, timing, and the path it took through your logic.
Because Xano runs the whole backend, a trace lands on the failing function and step, not on a container ID you then have to correlate by hand.
Every recorded request carries its real production inputs. One click re-runs them through the debugger and steps the stack, statement by statement.
Every change is attributable: who changed it, when, on which branch, and what the change was. The evidence trail your reviewers and auditors follow.
Errors are grouped by signature and mapped to the release that introduced them, so you can tell what's new from what's always been there.
Agent runs emit OpenTelemetry, so your agent activity is traceable like any other workload.
The same shared picture your team reads while building is the one they read in production. The engineer traces the failure; the reviewer checks what policy held; nobody pages through raw logs to answer “what happened?”
Autopilot watches the infrastructure underneath: clusters rightsized for cost, services kept resilient, without growing the DevOps team.
All your services on AutopilotIt is the request history, traces, debugger, audit trails and error logs built into every Xano backend. Every API request is recorded with its inputs, outputs, timing and the path it took through your logic, so you can see what the backend did, function by function, without adding a separate tool.
Open the request in its history and follow the trace. Because Xano runs the whole backend, the trace lands on the failing function and step, not on a container ID. One click re-runs the recorded production inputs through the debugger, so you can step the stack statement by statement.
Infrastructure logs answer three layers down, in container logs and metrics, and leave the correlation to you. Xano records what your logic did: which endpoint, which function, which step, with which inputs. Errors are grouped by signature and mapped to the release that introduced them, so new failures stand out.
Yes. Agent runs on Xano emit OpenTelemetry, so agent activity is traceable like any other workload: the run, then each tool call it made. Audit trails record every change to the workspace too, including who or what made it, when, on which branch, and what the change was.
Observability covers what your backend does. For the Kubernetes infrastructure underneath, Autopilot right-sizes every pod, node and autoscaler to real usage, in place, inside your cluster, with no restarts. Together they cover the application and the cluster it runs on, without growing the DevOps team.
