marp: true theme: warble-design-system class: lead

Frakma / Warble

Engineering your way out of operations

Developer & SRE Pitch

We know the pain

Getting paged at 3 AM for the same recurring issue.
Writing rigid runbooks that break as soon as the architecture shifts.
Alert fatigue: 50+ services throwing warnings, making it impossible to separate the signal from the noise.
Juggling 10 different dashboards just to find the root cause.

Why current auto-remediation sucks

It's deterministic. "If X happens, do Y."
It requires you to maintain massive YAML files or Python scripts.
It doesn't handle novel edge cases.
It's just more technical debt disguised as automation.

Warble: Built by Engineers, for Engineers

Avirka (Thinks): An Apache 2.0 LLM fine-tuned specifically for operational reasoning. It reads your logs, traces, and Kubernetes state like a senior SRE.
Frakma (Builds/Acts): The execution engine that turns reasoning into action.

How it works

Observe: Hooks into your existing stack (Prometheus, OTel, K8s).
Reason: Avirka correlates the data and hypothesizes the root cause in plain English.
Act: It proposes a fix (e.g., restarting a pod, rolling back a deployment).
Human-Gated: You hit "Approve". It executes. You are always in control.

Incident Memory

Every incident Warble helps solve is stored.
Next time the same issue happens, Warble remembers the exact context and remediation path.
It's like having a dedicated SRE documenting and automating every fix perfectly, every time.

Open Source First

We hate vendor lock-in as much as you do.
Avirka and Frakma are Apache 2.0. You can run them yourself on a single H100.
Completely air-gappable. No sending your private telemetry to OpenAI.
Native integrations with the CNCF ecosystem.

Get Started

Zero-friction trial: Connect a staging cluster.
Run it in shadow mode to see what it would have done.
Let's kill the 3 AM page together.