About Data Is Mist

Production is messy.
The investigation should not be.

Data Is Mist is an early product concept for engineers responsible for distributed systems. The goal is simple: make incident evidence easier to assemble, inspect, and act on.

Why this exists

Teams have plenty of signals. They still lose time finding the story.

Monitoring tools are good at showing that something changed. During an incident, engineers still move between alerts, deploy history, traces, logs, and service maps to work out what changed first and what matters.

Data Is Mist is being explored as a reasoning layer over that existing stack—not a replacement for it. It should organize evidence into a timeline, propose testable explanations, and keep the engineer in control.

Working principles

Show the evidence.

Every hypothesis should point to the signals that support or weaken it.

Say what is uncertain.

A useful system makes its gaps visible instead of smoothing them over.

Earn automation.

Investigation comes first. Production changes require review and clear controls.

Current stage

Pre-launch and looking for design partners.

There is no claim of a finished product, paying customers, or proven performance yet. The current work is to learn from real incident workflows and validate where focused tooling can help.