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apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: tune-kindnet
  namespace: kube-system
  labels:
    app: tune-kindnet  
spec:
  selector:
    matchLabels:

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go install sigs.k8s.io/kubetest2@latest;
go install sigs.k8s.io/kubetest2/kubetest2-tester-ginkgo@latest
go install sigs.k8s.io/provider-aws-test-infra/kubetest2-ec2@latest

#go install .

kubetest2 ec2 \
 --stage https://dl.k8s.io/ci/fast/ \
 --version $(curl -Ls https://dl.k8s.io/ci/fast/latest-fast.txt) \
 --region us-east-1 \

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rm cacher.test && make test WHAT=staging/src/k8s.io/apiserver/pkg/storage/cacher KUBE_TEST_ARGS='-c'
stress ./cacher.test --test.failfast --test.run TestWatchStreamSeparation

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#!/bin/sh

eksdemo create cluster test-eks-02 --os AmazonLinux2023
eksdemo delete cluster test-eks-02

go install sigs.k8s.io/kubetest2@latest
go install sigs.k8s.io/provider-aws-test-infra/kubetest2-ec2@latest

AMI_ID=$(aws ssm get-parameter --name "/aws/service/eks/optimized-ami/1.30/amazon-linux-2023/x86_64/standard/recommended/image_id" | jq -r '.Parameter.Value')

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gh api \
  --method POST \
  -H "Accept: application/vnd.github+json" \
  -H "X-GitHub-Api-Version: 2022-11-28" \
  -f 'state=success' \
  -f 'target_url=https://github.com/google/cadvisor/pull/3527/checks' \
  -f 'description=Skipped this stale build!'  \
  -f 'context=test-integration (1.22, ubuntu-20.04, build/config/plain.sh)' \
  /repos/google/cadvisor/statuses/2b6f92b40593f935ca19306af5c3aee3c00ac61d

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#!/usr/bin/env bash

# Copyright 2019 The Kubernetes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#

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#!/bin/bash

# All the notes you need!!!
# https://github.com/awslabs/amazon-eks-ami/releases/tag/v20240227
#   AMI Name: amazon-eks-gpu-node-1.29-v20240227
# https://docs.aws.amazon.com/eks/latest/userguide/eks-optimized-ami.html
# https://docs.aws.amazon.com/dlami/latest/devguide/gpu.html
# https://hub.docker.com/r/nvidia/cuda/tags
# https://github.com/NVIDIA/k8s-device-plugin/releases

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# DO NOT TRY THIS ON A MAC or WSL2 :) use a ubuntu vm or something!

# Run the same kubekins container used in the CI job
IMAGE=gcr.io/k8s-staging-test-infra/kubekins-e2e:v20240209-82001bc8c5-main

# Create a temp directory for the DIND docker - see the baked in assumption in some of our images here - https://cs.k8s.io/?q=docker-graph&i=nope&files=&excludeFiles=&repos=kubernetes/test-infra
(sudo mkdir -p /tmp/docker-graph && sudo chmod -R 777 /tmp/docker-graph && cd /tmp/docker-graph && rm -rf *)

# Run as a privileged container, mount both the kubernetes directory and the docker-graph directory
docker run -e DOCKER_IN_DOCKER_ENABLED=true \

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To create

eksctl create cluster -f eks-demo-cluster-001.yaml

To delete

eksctl delete cluster eks-demo-cluster-001 --region us-east-1

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• use initialize-nginx-image.sh to push nginx:latest into an ECR repository and build the soci index (see here for details)
• install fuse using sudo yum install fuse -y
• download and extract files from https://github.com/awslabs/soci-snapshotter/releases/ into /usr/local/bin
• run sudo chown root:root /usr/local/bin/soci-snapshotter-grpc
• copy soci-config.toml to /etc/soci-snapshotter-grpc/config.toml
• copy soci-snapshotter.service to /usr/lib/systemd/system/soci-snapshotter.service
• enable service using sudo systemctl enable --now soci-snapshotter
• install sudo yum install -y amazon-ecr-credential-helper (or install from latest release in repo)
• copy config.json to /root/.docker/config.json
• run sudo chown root:root /root/.docker/config.json