# Self-hosted AI, Kubernetes & IaC — best practices

> Production guide covering Llama, vLLM, Kubernetes, and Terraform/OpenTofu: architecture choices, operations, and common pitfalls.

For AI agents: curated site map at [https://www.devolute.org/llms.txt](https://www.devolute.org/llms.txt). Canonical HTML (preferred for search engines): [https://www.devolute.org/en/insights/open-source/self-hosted-ai-kubernetes-iac-best-practices](https://www.devolute.org/en/insights/open-source/self-hosted-ai-kubernetes-iac-best-practices).

- Language: en
- Last modified: 2026-05-06
- Markdown URL: https://www.devolute.org/en/insights/open-source/self-hosted-ai-kubernetes-iac-best-practices.md

## Self-hosted AI, Kubernetes & IaC: architecture and approach

Proven production patterns for teams running Llama, vLLM, Kubernetes, and Terraform/OpenTofu.

## What matters for Self-hosted AI, Kubernetes & IaC

<p><strong>Self-hosted AI Kubernetes best practices</strong> mean: make the platform operable first, then scale models. The bottleneck is usually operations (releases, security, monitoring, ownership), not inference.</p>
<p>GitOps/Helm give reproducibility. Terraform/OpenTofu give governance. The sequencing matters: baseline → pilot → operations—at a complexity level your team can maintain.</p>

## FAQ

- **Does this guide replace strategy and architecture work?**: Not entirely. The guide outlines proven patterns and trade-offs, but implementation should start from your goals, constraints, and operating context. That is how we shape a roadmap that is neither over-engineered nor too lightweight for your team.
- **How do we make sure a tool is integrated in a way that makes sense?**: We treat integration as a first-class design topic from day one, not a late rollout task. This includes interfaces to identity, data, processes, and operations, plus ownership and security boundaries. The result is a setup that fits how your organization actually works.
- **Are there viable alternatives to the tools mentioned here?**: Yes. We compare open-source, SaaS, and hybrid options against measurable criteria: risk, compliance, operating cost, and team capacity. The goal is not to force a default stack, but to choose the option with the best fit for your current stage and future roadmap.
- **How does Devolute help us choose the right tool?**: We use explicit selection criteria, short validation cycles, and measurable checkpoints instead of vendor narratives. Where useful, we run a tightly scoped pilot with clear stop/go conditions agreed in advance. This keeps decisions transparent and defensible for technical and business stakeholders.
- **How does Devolute ensure strong fit with our current and future stack?**: We assess your current landscape and target architecture before recommending implementation paths. That assessment covers integration seams, data flow, IAM dependencies, and operational constraints around core systems. This prevents expensive friction during scaling, upgrades, and handover.
- **How do you ensure maintainability after rollout?**: Maintainability is treated as a delivery outcome, not an afterthought. We include operational playbooks, upgrade paths, ownership clarity, and capability transfer to your internal team. If needed, we support operations temporarily and then transition responsibility in a controlled handover.

## Related agency services

- [Open-source AI infrastructure](https://www.devolute.org/en/agency/open-source-ai-infrastructure)
- [Kubernetes platform engineering](https://www.devolute.org/en/agency/kubernetes-platform-engineering)
- [Terraform / OpenTofu](https://www.devolute.org/en/agency/terraform-opentofu-infrastructure)

## Implementation support

From architecture and pilot to full operational handover.

[Contact us](https://www.devolute.org/en/insights/open-source/self-hosted-ai-kubernetes-iac-best-practices#Contact)
