This repository contains resources and configuration scripts for building a custom Amazon EKS AMI with HashiCorp Packer. This is the same configuration that Amazon EKS uses to create the official Amazon EKS-optimized AMI.
Check out the 📖 documentation to learn more.
If you are new to Amazon EKS, we recommend that you follow our Getting Started chapter in the Amazon EKS User Guide. If you already have a cluster, and you want to launch a node group with your new AMI, see Launching Amazon EKS Worker Nodes.
You must have Packer version 1.8.0 or later installed on your local system. For more information, see Installing Packer in the Packer documentation. You must also have AWS account credentials configured so that Packer can make calls to AWS API operations on your behalf. For more information, see Authentication in the Packer documentation.
A Makefile is provided to build the Amazon EKS Worker AMI, but it is just a small wrapper around invoking Packer directly. You can initiate the build process by running the following command in the root of this repository:
# build an AMI with the latest Kubernetes version and the default OS distro
make
# build an AMI with a specific Kubernetes version and the default OS distro
make k8s=1.29
# build an AMI with a specific Kubernetes version and a specific OS distro
make k8s=1.29 os_distro=al2023
# check default value and options in help doc
make helpThe Makefile chooses a particular kubelet binary to use per Kubernetes version which you can view here.
Note The default instance type to build this AMI does not qualify for the AWS free tier. You are charged for any instances created when building this AMI.
For security issues or concerns, please do not open an issue or pull request on GitHub. Please report any suspected or confirmed security issues to AWS Security https://aws.amazon.com/security/vulnerability-reporting/
This sample code is made available under a MIT-0 license. See the LICENSE file.
Although this repository is released under the MIT license, when using NVIDIA accelerated AMIs you agree to the NVIDIA Cloud End User License Agreement: https://s3.amazonaws.com/EULA/NVidiaEULAforAWS.pdf.
Although this repository is released under the MIT license, NVIDIA accelerated AMIs use the third party open-gpu-kernel-modules. The open-gpu-kernel-modules project's licensing includes the dual MIT/GPLv2 license.
Although this repository is released under the MIT license, NVIDIA accelerated AMIs use the third party nvidia-container-toolkit. The nvidia-container-toolkit project's licensing includes the Apache-2.0 license.
Although this repository is released under the MIT license, Neuron accelerated AMIs use the third party Neuron Driver. The Neuron Driver project's licensing includes the GPLv2 license.
Although this repository is released under the MIT license, accelerated AMIs use the third party Elastic Fabric Adapter Driver. The Elastic Fabric Adapter Driver project's licensing includes the GPLv2 license.