Case study preview · shared infrastructure and deterministic controls

Home Automation & Shared Container Platform

Platform engineering · local IoT integrations · deterministic recovery

I operate a privately managed container platform hosting household automation services alongside data processing and local service workloads. The architecture combines local MQTT message routing, containerized service isolation, deterministic safety interlocks, and automated backup mirroring.

Technical record being assembled Docker · Home Assistant · MQTT · Python · Local Network
Public technical disclosure note

The system is built, active, and operating locally. The full public case study is being assembled to document the container orchestration patterns, service boundaries, networking, and disaster recovery design while keeping household routines, device hardware identifiers, credentials, and private topology strictly confidential.

01 / Scope & Intent

Reliable local execution without cloud lock-in.

Commercial consumer automation ecosystems frequently depend on third-party cloud APIs, introducing latency, unpredictable firmware changes, vendor deprecation risks, and unnecessary privacy exposure for private physical spaces.

This project uses an owned, containerized service layer to run local automation logic. Critical routines execute entirely on local network hardware, guaranteeing that physical triggers and safety rules function reliably regardless of external internet availability.

02 / Platform Evolution

From standalone scripts to a consolidated container infrastructure.

  1. 01 Discrete device automations

    Initial standalone rules handled routine lighting, power monitoring, and environmental triggers.

  2. 02 Containerized service platform

    Standardized service deployments into isolated Docker containers on a shared local host machine.

  3. 03 Unified message broker & local state

    Integrated MQTT message distribution, persistent state logging, and local metric collection.

  4. 04 Backup mirroring & recovery

    Connected to the automated macOS maintenance and backup verification loop for zero-data-loss container recovery.

03 / Key Subsystems

Core architectural pillars under documentation.

04 / System Boundary

Physical device control remains strictly deterministic.

Owner-confirmed

Deterministic control (100%)

  • Device state transitions and relay triggers
  • Environmental threshold monitors and alerts
  • Local MQTT payload serialization
  • Container recovery and health monitoring

AI / Probabilistic models (0%)

  • No model inference in device safety loops
  • No LLM authority over physical actuators
  • Optional future context: diagnostic summarization only

Human authority

  • Physical wall-switch and manual overrides
  • Automation policy adjustments and schedules
  • Container deployment and upgrade approvals