ControlTheory Dstl8 is emergent observability for AI coding teams. It automatically surfaces unknown patterns—even when nothing was configured to watch for them. Discover novel behaviors in dev/staging before they become production incidents. Powered by Möbius AI.

Key Features

Discover Unknown Unknowns

Surface emergent patterns without pre-configuration. Dstl8 automatically detects novel behaviors from AI-generated code – unexpected service interactions, latency spikes, new dependency chains. No monitors to configure, no dashboards to build. Just deploy and discover.

Pre-Production Detection

Catch unknowns before production. Deploy Dstl8 in dev/staging environments where AI-generated code first interacts with real systems. Surface emergent patterns early – before they page you at 2am. Works alongside your production observability tools.

Instant Impact Analysis

Understand severity and scope immediately. No need to correlate 6 dashboards. Dstl8 distills complex telemetry into clear impact: who’s affected, how severely, what’s related. Get from alert to understanding in seconds, not minutes.

Direct Answers with Evidence

Ask “what’s wrong and why” in natural language. Get explanations backed by actual logs – not dashboards to investigate. Dstl8 surfaces the exact evidence: relevant log lines, affected services, timeline. Root cause with proof, not speculation.

Complements Your Stack

Complements Datadog, Grafana, Prometheus, New Relic – but solves a different problem. Traditional tools monitor what you configure. Dstl8 emergent observability discovers what you didn’t anticipate. Powered by Möbius AI, our three-layer architecture that distills logs at the edge and surfaces emergent patterns continuously.

Zero Config.
No Maintenance.

Five-minute setup, continuous operation. No tuning, no dashboard upkeep. Uses OpenTelemetry standards – Kubernetes-native. Works on-premises or cloud. No log storage required – Dstl8 distills at the edge.

TUI tool for log analysis. It looks cool and seems
really good. It even has a heatmap.
It can also receive logs in real-time via
OpenTelemetry. It’s super modern. Yay yay!

It’s exactly what I’ve been dreaming about as the
ideal UX for logs analysis in Uncloud CLI/TUI.

This is a great tool and it immediately became
part of my toolset.

I decided to give it a shot. It’s really nice! One of
the things I always loved about datadog’s log
analysis tool was its ability to surface log patterns.

Great tool ! awesome job!

See Dstl8 in Action

Dstl8 Service Heatmap

Automated Incident Tracking

AI in Your Flow

Benefits

Catch Issues Before Production

Deploy in staging where AI-generated code first meets real systems. Surface emergent patterns before they become 2am pages. Most teams discover unknowns in production—you’ll catch them in pre-production. Prevention, not reaction.

Understand Impact in Seconds

Stop correlating 6 dashboards during incidents. Dstl8 distills complexity into clear answers: who’s affected, how severely, what’s related. Get from alert to understanding in seconds, not 20 minutes of dashboard archaeology.

Answers for Your Entire Team

Ask “what’s wrong and why” in plain English—no query language required. Junior developers, senior SREs, customer success reps—everyone gets answers they can understand – with evidence. Democratize incident response without dashboard expertise or investigation work.

Maintenance Free Dashboards

Five-minute setup. No monitors to configure, no dashboards to maintain, no queries to write. Dstl8 learns your system automatically and improves over time. Just deploy and start surfacing patterns—no ongoing tuning required.

Quick Install

Start distilling in minutes:

# helm install dstl8

Learn More

Inverting the Observability Pyramid ->
An Observability Renaissance: Humanism for the AI Era ->
Surface the Right Insights: Why Logs Still Matter (and Why Now) ->
Find the Right Answers: Making Logs Conversational with Gonzo ->