# Terraform and Kubernetes: A Practical Guide for 2026

DevFeed: [Terraform and Kubernetes: A Practical Guide for 2026](<https://devfeed.tech/articles/terraform-and-kubernetes-a-practical-guide-for-2026-19030.md>)

Original publisher: [Read original article](<https://www.pulumi.com/blog/terraform-kubernetes/>)

Author: Pulumi Content Team

Published: 2026-08-07T00:00:00Z

Content type: tutorial

Language: en

Sources: [Pulumi](<https://devfeed.tech/sources/pulumi.md>)

Topics: [Kubernetes](<https://devfeed.tech/topics/kubernetes.md>), [Terraform](<https://devfeed.tech/topics/terraform.md>), [Provisioning](<https://devfeed.tech/topics/provisioning.md>), [Testing](<https://devfeed.tech/topics/testing.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [general](<https://devfeed.tech/tags/general.md>), [guide](<https://devfeed.tech/tags/guide.md>), [infrastructure-as-code](<https://devfeed.tech/tags/infrastructure-as-code.md>), [kubernetes](<https://devfeed.tech/tags/kubernetes.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [provisioning](<https://devfeed.tech/tags/provisioning.md>), [terraform](<https://devfeed.tech/tags/terraform.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

A practical guide to using Terraform with Kubernetes, covering the Kubernetes provider, provisioning workflows, testing, policy, deployment, and the role of AI agents. It explains limitations including provider ordering and the need for Kubernetes API access during planning.

## Source excerpt

Yes, Terraform can manage Kubernetes: the official hashicorp/kubernetes provider lets you declare Deployments, Services, and other objects as HCL resources, and community providers like kubectl fill in the gaps. It works well for many teams. The friction shows up around two well-documented limits -- provider ordering and plan-time API access -- and around testing, where a general-purpose language changes what's possible. That friction matters more in 2026 than it did a few years ago. Kubernetes infrastructure now sits next to AI-driven engineering workflows: agents that propose changes, run previews, and open pull requests need infrastructure code they can read, test, and reason about with the same tools they use for application code. A cluster definition written in HCL and a workload definition written in YAML are both harder for an agent -- and a person -- to unit test, refactor, or type-check than the equivalent in TypeScript, Python, or Go. This guide is about the operating model for Kubernetes infrastructure: how the cluster, the platform layer, and the workloads on top of it get provisioned, tested, and shipped. It's a different question from "should I write my Kubernetes manifests in YAML, HCL, or a real language," which we cover in detail in YAML, Terraform, or Pulumi: what's the smart choice for deployment automation with Kubernetes? Read that post first if you're deciding how to author manifests; read this one for the wider workflow -- provisioning, testing, policy, and where AI agents fit. How does Terraform manage Kubernetes today? The hashicorp/kubernetes provider (current release v3.2.1, requiring Terraform 1.0.0 or later) is the primary path, and teams typically combine it with one or two others depending on what they're deploying: Approach What it's for Notes Typed resources (kubernetes_deployment_v1, kubernetes_service_v1, etc.) Core, well-known object types Full HCL validation and typed attributes for the objects the provider models explicitly kubernete