Where the process was losing clarity.
Multiple automation and supporting services needed a production-ready home with explicit boundaries for networking, data, access, visibility, recovery and future expansion.
n8n · Production infrastructure
Self-hosted Automation Infrastructure
A structured self-hosted foundation for n8n, data, caching, monitoring and future automation services—with clear boundaries for scale and operations.
The decisions that created a cleaner path.
Architected a Docker-based Linux environment around n8n, PostgreSQL, Redis and Supabase, with isolated services, persistent storage, internal networking, monitoring, backup planning and controlled access.
One state moves deliberately into the next.
Isolate
Separate automation, database, cache and supporting services into clear container responsibilities.
Connect
Use internal networking and access rules so services communicate without unnecessary public exposure.
Persist
Design storage, database and backup responsibilities around recoverable production workloads.
Observe
Prepare monitoring and operational visibility so health and failures can be reviewed as the stack grows.
A focused system—not a collection of tools.
Service architecture and container isolation
Persistent data, internal networking and access control
Monitoring, backup strategy, Linux security and future scale
n8nPostgreSQLRedisSupabaseDocker ComposeLinuxMonitoring
What the work proves—and what it does not claim.
The foundation is ready to host the next set of n8n, AI and business-automation services in one organized environment. No uptime, throughput or availability metric is claimed.
Interface system
Designed as a system,
not a collection of screens.
This project is the infrastructure beneath production automation: a structured environment where n8n, data services and future applications can be introduced without turning one server into an untraceable collection of containers.
Working framework
How the experience
works underneath.
Each layer has one responsibility. That separation keeps the interface easier to understand now and easier to move from Vercel to dedicated infrastructure later.
Automation plane
n8n runs as a defined service boundary for workflows, triggers and integrations.
Data plane
PostgreSQL, Redis and Supabase have separate persistence and service responsibilities.
Control plane
Internal networking, access rules and Linux security reduce unnecessary exposure.
Operations plane
Monitoring and backup strategy prepare the environment for review, recovery and growth.
Interface decisions
Topology before tools
The visual model starts with service relationships, not a list of installed products.
Visible boundaries
Public access, internal traffic, persistent data and operational controls are shown as separate layers.
Expandable by design
New self-hosted applications can enter the environment without erasing existing ownership boundaries.
Build stack & plugins
n8nPostgreSQLRedisSupabaseDockerDocker ComposeLinux securityMonitoring and backup strategy
Case-study palette
Node#EA4B71Network#8B5CF6Healthy#63D98BConsole#09070D
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