ymmt2005

Neco プロジェクトのスキルチェックシート

Neco は大量の物理サーバーを効率的に管理・運用することを目的とした開発プロジェクトです。 Kubernetes を中心に高度な自律運用の実現を目指しています。

本文書はプロジェクトに参加しているメンバーが身に着けている要素技術を並べたものです。

応募時点ですべてを身に着けている必要はまったくありません。 社内にはチュートリアル資料が多数用意されていますので、必要に応じて学べます。

antonfisher

Add --allow-privileged=true to:

# kubelet config
sudo vim /var/snap/microk8s/current/args/kubelet

#kube-apiserver config
sudo vim /var/snap/microk8s/current/args/kube-apiserver

Restart services:

superseb

kubectl --kubeconfig kube_config_rancher.yml patch cluster local -p '{"status":{"agentImage":"dummy"}}' --type merge

superseb

#!/bin/bash
if [[ $DEBUG == "true" ]]; then
  set -x
fi

# Check if tools exist
command -v jq >/dev/null 2>&1 || { echo "jq is not installed. Exiting." >&2; exit 1; }
command -v dig >/dev/null 2>&1 || { echo "dig is not installed. Exiting." >&2; exit 1; }
command -v curl >/dev/null 2>&1 || { echo "curl is not installed. Exiting." >&2; exit 1; }
command -v sed >/dev/null 2>&1 || { echo "sed is not installed. Exiting." >&2; exit 1; }

superseb

Change default DNS nameserver used by Kubernetes pods

This can be applied generically but usually applies to Linux nodes that have a local caching nameserver running, which means pointing to an IP in the loopback range (127.0.0.0/8). Ubuntu 18.04 Bionic Beaver does this by default.

Option 1: Change host configuration

sudo systemctl mask systemd-resolved
rm -f /etc/resolv.conf
sudo ln -s /run/systemd/resolve/resolv.conf /etc/resolv.conf

balajismaniam

apiVersion: v1
kind: Pod
metadata:
  name: tf-wide-deep-census-pod
spec:
  containers:
  - image: <insert-image>
    command: ["/bin/sh"]
    args: ["-c", "/usr/bin/time python ./wide_deep.py --model_type=wide_deep --train_epochs=500 --epochs_between_eval=500 --batch_size=32561"]
    name: tf-wide-deep-census

sahya

# please : git clone https://github.com/weseek/growi-docker-compose.git
# special thanks : inductor
#------------------------------------
version: '3'
services:
  nginx:
    container_name: nginx
    image: jwilder/nginx-proxy
    restart: always 
    ports:

buptliuwei

Kubernetes cluster setup based on amd64 && NVIDIA JETSON TX2

Thanks to @luxas create the Kubernetes on ARM project. But my project has some different, i have a VM on x86 as master node and two nvidia tx2 development kits as work node. So my kubernetes cluster are multi-platform. I use kubeadm as a deployment method.Some basic information of my platform is as follows.

Versions

kubeadm version (use kubeadm version):1.10.0

Environment:

• Kubernetes version (use kubectl version):1.10.0
• Cloud provider or hardware configuration:an amd64 master and 1 arm nodes (nvidia tagra TX2)

jkjung-avt

# --------------------------------------------------------
# Camera sample code for Tegra X2/X1
#
# This program could capture and display video from
# IP CAM, USB webcam, or the Tegra onboard camera.
# Refer to the following blog post for how to set up
# and run the code:
#   https://jkjung-avt.github.io/tx2-camera-with-python/
#
# Written by JK Jung <jkjung13@gmail.com>

yamamoto-febc

variable "password" {
  default = "PUT_YOUR_PASSWORD_HERE"
}

variable "hostname" {
  default = "agent-from-terraform"
}

#Create a new Rancher registration token
resource "rancher_registration_token" "default" {