लेख
तकनीक बनाएँ, परखें और उसका विश्लेषण करें। कार्यान्वयन, प्रयोग और शोध से उसके काम करने के सिद्धांत समझें।

कुछ चित्र, कोड और परियोजना नोट मूल अंग्रेज़ी में हैं।

← वापस · परियोजनाएँ

PROJECT / HOME-SERVER

घरेलू सर्वर प्लेटफ़ॉर्म

Build and operate a practical information platform using only home computing resources, without depending on external cloud providers. Design, implementation, and operational monitoring are all handled solo.

अवसंरचना
घरेलू सर्वर प्लेटफ़ॉर्म

प्रणाली की संरचना

SYSTEM
System architecture: 6-layer flow from access control to hardware At home — everything runs on a single physical machine External Network Home Network Access Control — encrypted dedicated path only Reverse Proxy Container Platform Media / Photos Home Automation AI / Dev Env Auth / Security Virtualization Layer One PC at Home

Figure 1 — Requests pass only through the encrypted path and reach services isolated at the container level.

बनाई गई सुविधाएँ

5 capabilities
✓

Photos, files, and passwords can now be managed securely on a single personal PC, with no monthly subscription fees.

✓

Can now securely reach the home PC from outside through an encrypted path, even while away.

✓

Home appliances can now be controlled by voice.

✓

Server anomalies (low disk space, a stopped service, etc.) are now detected automatically, with notifications sent out.

✓

New services can now be added quickly without breaking the existing setup.

तकनीक और उपकरण

Runtime

WSL2DockerDocker Compose

Reverse Proxy / Remote Access

CaddyTailscale

Photos / File Management

ImmichNextcloud

Auth / Password Management

Vaultwarden

Media Streaming

Jellyfin

Home Automation

Home AssistantMosquitto (MQTT)

Local AI

OllamaOpen WebUI

Monitoring / Operations

NetdatantfyWatchtower

Equipment

3 items

Equipment actually used in this project, with its role and constraints. Each entry is based on a research-log record. Prices and availability are not listed.

Intel Core i7-12700

Used in this build

Intel

Role
CPU for every service. It is an everyday desktop PC whose resources are shared, not a dedicated server.
Limitations & notes
With everything on one machine, stopping this PC stops every service (single point of failure).

Record: compute-foundation Manufacturer page

NVIDIA GeForce RTX 3060 Ti

Used in this build

NVIDIA

Role
GPU shared by Jellyfin hardware transcoding, Immich machine-learning inference, Ollama local LLMs and ComfyUI image generation.
Limitations & notes
Because GPU memory is shared, ComfyUI is started only when needed. The card's board partner is not recorded.

Record: compute-foundation Manufacturer page

16 GB system memory

Used in this build
Role
Memory shared by all containers on WSL2 and a robot-development workspace.
Limitations & notes
The practical bottleneck. A swap-usage alert above 98% led to memory limits on every container. An upgrade to 32 GB has not been done. Module part numbers are not recorded.

Record: compute-foundation

अध्ययन का खाका

01

Phase 1

Foundation

Set up the virtualization layer and container platform, and established a secure remote access path. Laid the groundwork every later service runs on.

02

Phase 2

Data Migration

Gradually moved photos, files, and credentials that had been scattered across external cloud services onto the self-hosted platform, verifying integrity at each step.

03

Phase 3

Security Hardening

Audited the entire exposed surface, identified unnecessary exposure, and redesigned around the principle of least privilege, building in an ongoing audit process.

04

Phase 4

Extensibility

Introduced a reverse proxy and a monitoring platform, restructuring the setup so new services can be added quickly and with low risk.

05

Ongoing

Ongoing Operations

Continuing to expand into smart-home territory alongside day-to-day monitoring and maintenance, growing the platform through repeated cycles of planning and implementation.