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Fester Cluster Build System — Cheatsheet

🧠 Core Concept

A distributed, DAG-driven build execution system with:

real-time scheduling
node-aware load balancing
thermal + policy constraints
cache-aware execution
deterministic replay/debugging

🧩 System Components

1. Scheduler

Chooses best node per action using:

CPU load
temperature
policy rules
historical intelligence feedback

2. Pipeline Engine

Executes DAG actions sequentially or step-debugged.

Supports:

live execution
interactive stepping
replay mode

3. Timeline Store

Immutable event log of entire system.

Used for:

replay
debugging
autopsy analysis

4. Failure System

Detects and propagates failure:

backward → root cause candidates
forward → downstream impact

5. Critical Path Analyzer

Identifies bottleneck chain in DAG execution.

6. Cache Layer

Supports:

distributed artifact reuse
MinIO backend
future: Btrfs/QCOW2 snapshot acceleration

7. Debugger Mode

Interactive execution control:

pause
step
resume
scheduler preview before execution

🧭 Execution Flow

Build graph generated from spec
Scheduler selects node per action
Timeline records decision
Executor runs action on node
Events streamed to UI
Failures propagate through DAG
Optional debugger intercepts execution

📡 Event Types

node
pipeline
schedule_decision
failure_propagation
debugger_preview

🖥 UI Modes

Live Mode

real-time DAG rendering
node state updates

Debug Mode

step execution
scheduler inspection
manual control

Autopsy Mode

failure root cause analysis
dependency tracing
critical path overlay

⚙️ Node Selection Model

Score-based weighted system:

CPU availability
thermal headroom
policy constraints
historical instability penalties

🧪 Execution Backends (planned)

distcc
LXC
libvirt
native execution
cross-compilation toolchains

📦 Cache Strategy

local ccache
shared MinIO cache
future: Btrfs/QCOW2 snapshot acceleration

🔐 Design Principle

The system must always be replayable, explainable, and deterministic.

No hidden state. No opaque scheduling. Everything is observable.

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