Frederick Nwokobia
Start a conversation
Case Study / Owned Infrastructure

Enterprise-grade infrastructure, without renting the whole stack.

Groovefellows Stack is a self-hosted SMB operating platform built with free and open-source software on owned hardware: identity, business apps, automation, AI-friendly integration surfaces, observability, documentation and recovery workflows integrated into one coherent stack. The hard part is not buying tools; it is choosing patterns, documenting them, and operating them consistently.

Start a conversation → See the stack architecture ↓
System View
People & devicesoperators / teams / agents
Identity firstSSO / policy / access
Work systemsapps / automation / AI
Control planesecrets / docs / recovery
30+Integratedservices
3Dev / QA / prodenvironments
1Single identityplane
FOSSOpen-sourcefoundation
OwnedHardware anddata
SovereignData controlby design
01What Was Built

A business operating platform, not a pile of tools.

Groovefellows is the kind of platform most small businesses usually experience as a collection of subscriptions. Here, the core capabilities are integrated into one owned environment: sign-on, files, chat, business operations, automation, AI, source control, documentation, monitoring and recovery.

The important lesson is not that every business needs the same exact tools. The lesson is that a serious platform can be built from free and open-source software, on hardware the business controls, with professional security, recovery discipline, and integration surfaces that humans, automations, and agents can use safely.

01

Identity first

One SSO layer protects the user-facing estate and keeps local break-glass paths available where needed.

02

Apps as a system

Business, collaboration, compliance and AI tools are organized around roles, workflows, APIs and governed access paths, not vendor silos.

03

Open-source foundation

The estate is built primarily from free and open-source tools, selected for capability, interoperability, automation potential and control.

04

Owned hardware

Core systems run on hardware under the company's control, reducing dependence on external SaaS platforms for sensitive workflows.

05

Delivery with guardrails

Source, registry, CI/CD, documentation and promotion paths are built into the operating model.

06

Recovery by design

Monitoring, backups, runbooks and restore paths are documented so the platform can be rebuilt with confidence.

02Stack At A Glance

Identity, Trust & Access

Authentik - SSO and policy gates MidPoint - identity governance Vaultwarden - password vault OpenBao - infrastructure secrets Traefik - TLS edge and routing

Business Operations

Frappe Suite - ERP, CRM, HR and helpdesk Bigcapital - accounting operations Probo - governance and risk Mautic - marketing automation Postal - transactional email operations

Collaboration & Knowledge

Nextcloud - private file workflows Mattermost - team chat and alerts Docs Portal - runbooks and as-built docs App Dashboard - launchpad and estate view

Automation & AI

n8n - workflow automation Flowise - visual LLM flows Dify - LLM app platform OpenWebUI / AnythingLLM - private AI interfaces Firecrawl / SearXNG - research support Odysseus / Multica - agent workspace experiments LM Studio - local model runtime

Developer Platform

Forgejo - source and registry CI/CD runners - build, test, scan and promote Private image registry - reproducible delivery Build manuals - repeatable deployment knowledge

Observability & Resilience

Prometheus / Grafana - metrics and dashboards Loki / Alertmanager - logs and alert routing Split DNS - private estate resolution Backup runbooks - recovery path Syncthing - controlled synchronization
03Designed For Humans And Agents

An AI-friendly stack is not a stack full of AI logos. It is a stack whose apps can be authenticated, queried, automated and governed.

The stack was built with an AI-native, integration-friendly operating model in mind. That does not mean every app needed an AI feature. It means each tool was evaluated for whether humans, automations and agents could safely work with it: documented APIs, webhook support, modern authentication, clear data boundaries and self-hosted deployment options.

Roadmap signals mattered too. Tools with credible API, webhook or agent-access direction were stronger candidates than closed boxes with no practical integration path.

Tools that block OIDC, SSO, API access or automation behind a paywall are poor foundations for an AI-assisted business. They may work as standalone apps, but they make the operating system harder to govern and harder to extend.

API-first preference

Apps are easier to automate when core workflows are reachable through documented APIs, webhooks or stable integration points.

Modern identity support

OIDC, SAML and external auth support matter because agents and humans need governed access paths, not isolated password islands.

Automation surface

Tools were selected for whether they could participate in workflows, not just whether their UI looked good.

Self-hosted data boundary

AI systems are more useful when they can reason over data that remains under company governance.

No artificial lock-in

Products that paywall basic identity or API access weaken the architecture because they tax integration and governance.

04Architecture Pattern
Entry

People & Devices

Operators, teams and AI-assisted workflows enter through documented access patterns.

Trust Boundary

Identity & Access

SSO, MFA, policies and controlled local paths define who can reach which systems.

Edge

Routing & Discovery

TLS, routing, service discovery and private name resolution sit in front of the estate.

Work Systems

Apps, AI & Delivery

Operations, collaboration, automation, AI tooling and developer workflows are grouped by function.

Control Plane

Evidence & Recovery

Secrets, monitoring, documentation, backups and restore paths make the stack governable.

Data sovereignty by design

The point is not to avoid every external provider. The point is that the core business platform, sensitive data, identity, documentation, automation and recovery model remain under the company's own governance.

05Why This Matters For SMBs

Data sovereignty

Critical files, workflows and identity do not have to be scattered across unrelated SaaS vendors.

Open-source economics

The business invests in design, hardware and implementation instead of renting every core capability as another subscription.

Owned hardware

Sensitive workflows can run in an environment the business controls, with external services used deliberately.

Lower platform sprawl

One architecture replaces dozens of disconnected admin consoles and brittle manual handoffs.

Security by design

Identity, secrets, routing, monitoring and recovery are designed together instead of patched on later.

AI readiness

AI tools become more useful when they sit on top of organized apps, documented workflows and trusted data boundaries.

Operational memory

Build manuals, runbooks and docs prevent the system from living only in one person's head.

Practical recovery

The platform is designed to be rebuilt, not merely admired while it works.

Not magic, just discipline

The stack is understandable because it is documented, grouped by function and operated through repeatable patterns.

06What Ownership Requires

Data sovereignty is not passive ownership. It is operational responsibility.

Free and open-source software changes the economics, but it does not remove responsibility. When a business owns its infrastructure, it also owns maintenance, patching, backups, monitoring, access governance, documentation and recovery testing. That is the tradeoff. You give up some vendor convenience in exchange for control, transparency and sovereignty.

The point is not to make SMB infrastructure exotic. The point is to make it understandable, repeatable and governable.

Self-maintenance

Updates, patches, capacity planning and uptime become part of the operating rhythm.

Self-governance

The business defines identity, access, retention, onboarding and offboarding policies instead of inheriting vendor defaults.

Security ownership

Secrets, SSO, backups, monitoring and alerting must be designed deliberately.

Documentation discipline

The platform must be understandable by future operators, not just the person who built it.

Recovery accountability

Backups only matter if restore paths are documented and tested.

07What This Demonstrates

The value is not the number of containers. It is the discipline.

The important part is choosing free and open-source tools that fit, running them on hardware you control, using the right integration pattern, keeping secrets out of code, preserving break-glass access, documenting the build, and verifying changes before they affect production.

Architecture disciplines

  • Free and open-source tool selection
  • Owned-hardware platform design
  • Identity and access design
  • Secure reverse proxy and routing
  • App onboarding and SSO patterns
  • Secrets and credential boundaries
  • CI/CD and private registry workflows
  • Monitoring, alerting and documentation
  • Backup and restore planning

Business outcomes

  • Less dependency on disconnected SaaS
  • More control over data and workflows
  • Reduced recurring software exposure
  • Repeatable deployment standards
  • Better auditability
  • Faster internal automation
  • A stronger foundation for AI assistants and agents
08Build Something Similar
Next Step

Want this kind of operating system for your business?

If your business has outgrown scattered tools, manual workflows, recurring SaaS sprawl and unclear data boundaries, this is the kind of platform I can help you design: practical, secure, documented, open-source where it makes sense, and built around how your team actually works.

Start a conversation →