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The project can be deployed on Kubernetes-like infrastructure (k0s, k3s, Talos, EKS, GKE, AKS...). GGBridge leverages **Helm Chart Deployment** which is an industry standard method for production environements, offering enhanced configurability and scalability for Kubernetes setups.
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- If you already have a Kubernetes cluster, please follow the [below documentation](#helm-deployment).
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- If you do not have a dedicated Kubernetes cluster, you can deploy GGBridge with a `k3d` cluster on a single VM. Please follow the [k3d installation documentation](./docs/k3d-install.md)
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- If you do not have access to a Kubernetes cluster, you can deploy GGBridge along with a `k3d` cluster on a single VM. Please follow the [k3d installation documentation](./docs/k3d-install.md).
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> [!WARNING]
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> The [k3d installation method](./docs/k3d-install.md) is not recommended for production due to single point of failure and lack of high availability.
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>
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> **For production setup**, we recommend deploying on a multi-node Kubernetes cluster across multiple AZs with proper redundancy and monitoring.
Copy file name to clipboardExpand all lines: docs/k3d-install.md
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This guide will help you deploy and manage local Kubernetes clusters using k3d for GGBridge deployment.
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> [!WARNING]
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> This setup is not recommended for production due to single point of failure and lack of high availability.
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>
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> **For production setup**, we recommend deploying on a multi-node Kubernetes cluster across multiple AZs with proper redundancy and monitoring.
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## 📋 Prerequisites
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For this installation method, you will need a single server (VM, bare metal...) and install following components:
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-[kubectl](https://kubernetes.io/docs/tasks/tools/) to interact with the cluster
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## Quick Start
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> [!IMPORTANT]
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> There are two methods for installing GGBridge on k3d, the [Basic CLI installation](#basic-cli-installation), and [using config files](#config-file-installation). While the basic CLI works, we recommend the second one for a long-term and maintainable lifecycle.
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