Ariadne / Runtime investigation surface

Turn a live production incident into a structured investigation that follows the problem back toward the relevant code.

A concrete example

Checkout errors spike in production

Input

Approved standard runtime telemetry, retained incident data, service context, and a repository mapping.

Action

Ariadne groups related errors into an incident and carries the thread into a supported DAEV investigation.

Result

The team sees the incident, investigation state, supported code result where available, and proposed next action together.

What you receive

// 01

Clustered incident

Related runtime evidence grouped into one investigation rather than separate alerts.

// 02

Code-analysis handoff

Service, trace, deployment, and repository context prepared for supported code analysis.

// 03

Governed proposal

A supported result can move to Athena as an exact change for named review.

How it works

01
Collect approved signals
Read the permitted runtime evidence and service context available inside the deployment.
02
Group the incident
Cluster related errors into one investigation with a stable identity.
03
Follow the thread
Connect the incident to the relevant deployment and repository context.
04
Start supported analysis
Hand the investigation to DAEV where the repository and analysis target are supported.

Inside the mechanism

// 001

Runtime evidence intake

Ariadne uses approved standard runtime telemetry and retained incident context. Collection remains inside the customer's deployment and follows the data sources the organisation has connected.

// 002

Incident clustering

Related observations are grouped so the investigation has one identity, service context, time window, and link back to the affected deployment.

// 003

DAEV investigation handoff

The DAEV runner turns a supported incident into a repository investigation. Ariadne preserves the runtime thread; DAEV owns any code-security proof that follows.

What it proves

Bounded claim

Ariadne preserves the approved runtime evidence and the structured handoff that started the investigation.

What it does not prove

Permanent boundary

A clustered incident is not itself a proven root cause or severing edit. DAEV returns a result only where its supported analysis establishes one.

How it connects to Athena

Input

Runtime evidence, service and deployment context, repository mapping, and correlation identifier.

Output

Incident, investigation state, DAEV result where available, and proposed next action.

Shared record

Athena keeps the runtime signal, investigation, named decision, change, and resulting evidence connected.

Continue the review

Continue into code analysis and its visual surface