Native Kubernetes Deployment Support for Home Assistant

Feature Requests
1

Feature Request: Native Kubernetes Deployment for Home Assistant

Category: Core Architecture Enhancement
Type: New Deployment Mode
Priority: High Impact - Community Driven
Integration: Home Assistant Core / Supervisor

:dart: Executive Summary

This feature request proposes adding native Kubernetes deployment support to Home Assistant, alongside existing Home Assistant OS, Container, and Supervised installation methods. This enhancement would transform Home Assistant into a sophisticated, cloud-native platform capable of enterprise-grade scaling, multi-node deployments, and advanced operational capabilities through a custom Supervisor Operator.

:rocket: Problem Statement and Limitations

Existing Home Assistant deployment modes face limitations:

  • Single-node restriction: Limited scalability and redundancy.
  • Manual management: Lacks sophisticated orchestration, automation, and scaling.
  • Operational limitations: Missing DevOps practices, GitOps workflows, enterprise security, and advanced resource management.

These constraints limit Home Assistant’s adoption in enterprise, large-scale residential, and distributed scenarios.

:star2: Proposed Solution: Kubernetes-Native Deployment Mode

Introduce a Kubernetes-native deployment leveraging a Supervisor Operator:

  • Manages Home Assistant lifecycle, add-ons, and configurations.
  • Implements Custom Resource Definitions (CRDs) such as HomeAssistantInstance, AddOn, and SupervisorConfig.
  • Supports horizontal/vertical scaling, geographic redundancy, and advanced security.
  • Provides operational excellence via GitOps, automated backups, monitoring, and observability.

:building_construction: Technical Architecture

Key components:

  • Kubernetes Operator: Uses controller-runtime, managing StatefulSets, Services, Ingresses, ConfigMaps, and Persistent Volumes.
  • Custom Resource Definitions (CRDs): Rich schemas managing deployments, add-ons, configurations, and dependencies.
  • Admission Webhooks: Ensure best practices, prevent misconfigurations.
  • Networking & Storage: Zero-trust network policies, service mesh integration, sophisticated storage management with automated backups.

:bar_chart: Benefits and Impact

  • Scalability: Handles complex automations, large device counts, distributed nodes.
  • High Availability: Kubernetes redundancy, health checks, disaster recovery.
  • Operational Excellence: GitOps workflows, automation, comprehensive monitoring.
  • Security: Zero-trust networking, fine-grained access, audit logging, compliance.
  • Community & Developer Growth: New integrations, AI/ML workloads, edge computing.

:dart: Community Benefits

  • Increased enterprise adoption and resources.
  • Expanded developer ecosystem for advanced add-ons.
  • Accelerated innovation in automation, AI integration, edge computing.

:wrench: Implementation Roadmap

Phased approach:

  • Phase 1: Core operator, basic Home Assistant deployments.
  • Phase 2: Advanced add-on management, dependency resolution.
  • Phase 3: High availability, multi-node scaling.
  • Phase 4: Enterprise security, compliance.
  • Phase 5: AI/ML integration, analytics.

:handshake: Community Engagement and Adoption

  • Early feedback, RFCs, prototype demonstrations.
  • Comprehensive documentation, education.
  • Migration tools, compatibility layers.
  • Enterprise validation, partnerships.

:chart_with_upwards_trend: Success Metrics

  • Performance: Reliability, scaling speed, resource efficiency.
  • Adoption: Number of active deployments, community contributions.
  • Impact: Developer engagement, innovation acceleration.
  • Strategic: Market expansion, technology leadership.

:crystal_ball: Future Vision

  • AI integration for intelligent automations.
  • Edge computing for distributed scenarios.
  • Enterprise-grade platform evolution.
  • Expanded ecosystem for developers.

:dart: Call to Action

  • Community feedback, support, and prototype testing.
  • Development team guidance for technical alignment.
  • Collaborative resource planning and phased implementation.

Vote for and support Kubernetes deployment to expand Home Assistant’s capabilities and ecosystem. Your feedback is vital to shaping the platform’s future.

2

  1. Local (and simple) implementation is a core driver of the project so your request does not align at all with current goals and in my opinion is extremely unlikely to be implemented.

  2. Please don’t regurgitate LLM vomit like that again. 90% of it is generic unnecessary guff.

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3

You seem to have a lot of experience with Kubernetes. So start coding. Any PR is welcome.

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4

If you’re not interested or capable of constructive discussion, feel free to skip this post. Nobody forced you to read it—so if you can’t handle it respectfully, kindly keep your toxic and irrelevant comments to yourself.

5

I’ve actually already started and have seen multiple successful implementations in various repos. My post aimed to understand if there is an interest and openness from the core team to officially adopt Kubernetes-native deployments—before investing further effort. Glad to hear PRs are welcome :grimacing:

6

You don’t get it. Home Assistant is about local control. There is zero chance it will be developed into a core cloud application. There is no point asking for it. Buy all means feel free to follow this path yourself, others have, but it is not going to be an official installation method. If you understood anything about home assistant you wouldn’t even ask for it.

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7

And Tom’s statement which you dismissed is probably not too far off.

They already support docker container. That’s as close as you’re probably gonna get. They have no interest in datacenter class kubernetes because and they’re right…

Home assistant isn’t designed for engineering enterprise scale solutions in the cloud… it’s for your home. (btw my day job is basically a cloud architect) I want this stuff running on iron or virtual as close to the house as possible…

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8

I seem to recall one of the developers espousing exactly that in one of the recent live streams.

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9
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10

That was it. Thanks.

2 Likes