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56 lines
1.6 KiB
Markdown
56 lines
1.6 KiB
Markdown
---
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title: Quickstart
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weight: 2
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---
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In this guide we will create a Kubernetes cluster in Docker, using a containerized version of Talos.
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Running Talos in Docker is intended to be used in CI pipelines, and local testing when you need a quick and easy cluster.
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Furthermore, if you are running Talos in production, it provides an excellent way for developers to develop against the same version of Talos.
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## Requirements
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The follow are requirements for running Talos in Docker:
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- Docker 18.03 or greater
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- a recent version of [`talosctl`](https://github.com/talos-systems/talos/releases)
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## Create the Cluster
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Creating a local cluster is as simple as:
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```bash
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talosctl cluster create --wait
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```
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Once the above finishes successfully, your talosconfig(`~/.talos/config`) will be configured to point to the new cluster.
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If you are running on MacOS, an additional command is required:
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```bash
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talosctl config --endpoints 127.0.0.1
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```
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> Note: Startup times can take up to a minute before the cluster is available.
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## Retrieve and Configure the `kubeconfig`
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```bash
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talosctl kubeconfig .
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kubectl --kubeconfig kubeconfig config set-cluster talos-default --server https://127.0.0.1:6443
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```
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## Using the Cluster
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Once the cluster is available, you can make use of `talosctl` and `kubectl` to interact with the cluster.
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For example, to view current running containers, run `talosctl containers` for a list of containers in the `system` namespace, or `talosctl containers -k` for the `k8s.io` namespace.
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To view the logs of a container, use `talosctl logs <container>` or `talosctl logs -k <container>`.
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## Cleaning Up
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To cleanup, run:
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```bash
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talosctl cluster destroy
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```
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