#install mongodb docker linux | Explore Tumblr posts and blogs

hydralisk98 · 5 years ago

Photo

hydralisk98′s web projects tracker:

Core principles=

Fail faster

‘Learn, Tweak, Make’ loop

This is meant to be a quick reference for tracking progress made over my various projects, organized by their “ultimate target” goal:

(START)

(Website)=

Install Firefox

Install Chrome

Install Microsoft newest browser

Install Lynx

Learn about contemporary web browsers

Install a very basic text editor

Install Notepad++

Install Nano

Install Powershell

Install Bash

Install Git

Learn HTML

Elements and attributes

Commenting (single line comment, multi-line comment)

Head (title, meta, charset, language, link, style, description, keywords, author, viewport, script, base, url-encode, )

Hyperlinks (local, external, link titles, relative filepaths, absolute filepaths)

Headings (h1-h6, horizontal rules)

Paragraphs (pre, line breaks)

Text formatting (bold, italic, deleted, inserted, subscript, superscript, marked)

Quotations (quote, blockquote, abbreviations, address, cite, bidirectional override)

Entities & symbols (&entity_name, &entity_number, &nbsp, useful HTML character entities, diacritical marks, mathematical symbols, greek letters, currency symbols, )

Id (bookmarks)

Classes (select elements, multiple classes, different tags can share same class, )

Blocks & Inlines (div, span)

Computercode (kbd, samp, code, var)

Lists (ordered, unordered, description lists, control list counting, nesting)

Tables (colspan, rowspan, caption, colgroup, thead, tbody, tfoot, th)

Images (src, alt, width, height, animated, link, map, area, usenmap, , picture, picture for format support)

old fashioned audio

old fashioned video

Iframes (URL src, name, target)

Forms (input types, action, method, GET, POST, name, fieldset, accept-charset, autocomplete, enctype, novalidate, target, form elements, input attributes)

URL encode (scheme, prefix, domain, port, path, filename, ascii-encodings)

Learn about oldest web browsers onwards

Learn early HTML versions (doctypes & permitted elements for each version)

Make a 90s-like web page compatible with as much early web formats as possible, earliest web browsers’ compatibility is best here

Learn how to teach HTML5 features to most if not all older browsers

Install Adobe XD

Learn Adobe XD basics

Learn Figma basics

Install Microsoft’s VS Code

Install my Microsoft’s VS Code favorite extensions

Learn HTML5

Semantic elements

Layouts

Graphics (SVG, canvas)

Track

Audio

Video

Embed

APIs (geolocation, drag and drop, local storage, application cache, web workers, server-sent events, )

HTMLShiv for teaching older browsers HTML5

HTML5 style guide and coding conventions (doctype, clean tidy well-formed code, lower case element names, close all html elements, close empty html elements, quote attribute values, image attributes, space and equal signs, avoid long code lines, blank lines, indentation, keep html, keep head, keep body, meta data, viewport, comments, stylesheets, loading JS into html, accessing HTML elements with JS, use lowercase file names, file extensions, index/default)

Learn CSS

Selections

Colors

Fonts

Positioning

Box model

Grid

Flexbox

Custom properties

Transitions

Animate

Make a simple modern static site

Learn responsive design

Viewport

Media queries

Fluid widths

rem units over px

Mobile first

Learn SASS

Variables

Nesting

Conditionals

Functions

Learn about CSS frameworks

Learn Bootstrap

Learn Tailwind CSS

Learn JS

Fundamentals

Document Object Model / DOM

JavaScript Object Notation / JSON

Fetch API

Modern JS (ES6+)

Learn Git

Learn Browser Dev Tools

Learn your VS Code extensions

Learn Emmet

Learn NPM

Learn Yarn

Learn Axios

Learn Webpack

Learn Parcel

Learn basic deployment

Domain registration (Namecheap)

Managed hosting (InMotion, Hostgator, Bluehost)

Static hosting (Nertlify, Github Pages)

SSL certificate

FTP

SFTP

SSH

CLI

Make a fancy front end website about

Make a few Tumblr themes

===You are now a basic front end developer!

Learn about XML dialects

Learn XML

Learn about JS frameworks

Learn jQuery

Learn React

Contex API with Hooks

Learn Vue.js

Vuex

NUXT

Learn Svelte

NUXT (Vue)

Learn Gatsby

Learn Gridsome

Learn Typescript

Make a epic front end website about

===You are now a front-end wizard!

Learn Node.js

Express

Nest.js

Koa

Learn Python

Django

Flask

Learn GoLang

Revel

Learn PHP

Laravel

Slim

Symfony

Learn Ruby

Ruby on Rails

Sinatra

Learn SQL

PostgreSQL

MySQL

Learn ORM

Learn ODM

Learn NoSQL

MongoDB

RethinkDB

CouchDB

Learn a cloud database

Firebase, Azure Cloud DB, AWS

Learn a lightweight & cache variant

Redis

SQLlite

NeDB

Learn GraphQL

Learn about CMSes

Learn Wordpress

Learn Drupal

Learn Keystone

Learn Enduro

Learn Contentful

Learn Sanity

Learn Jekyll

Learn about DevOps

Learn NGINX

Learn Apache

Learn Linode

Learn Heroku

Learn Azure

Learn Docker

Learn testing

Learn load balancing

===You are now a good full stack developer

Learn about mobile development

Learn Dart

Learn Flutter

Learn React Native

Learn Nativescript

Learn Ionic

Learn progressive web apps

Learn Electron

Learn JAMstack

Learn serverless architecture

Learn API-first design

Learn data science

Learn machine learning

Learn deep learning

Learn speech recognition

Learn web assembly

===You are now a epic full stack developer

Make a web browser

Make a web server

===You are now a legendary full stack developer

[...]

(Computer system)=

Learn to execute and test your code in a command line interface

Learn to use breakpoints and debuggers

Learn Bash

Learn fish

Learn Zsh

Learn Vim

Learn nano

Learn Notepad++

Learn VS Code

Learn Brackets

Learn Atom

Learn Geany

Learn Neovim

Learn Python

Learn Java?

Learn R

Learn Swift?

Learn Go-lang?

Learn Common Lisp

Learn Clojure (& ClojureScript)

Learn Scheme

Learn C++

Learn C

Learn B

Learn Mesa

Learn Brainfuck

Learn Assembly

Learn Machine Code

Learn how to manage I/O

Make a keypad

Make a keyboard

Make a mouse

Make a light pen

Make a small LCD display

Make a small LED display

Make a teleprinter terminal

Make a medium raster CRT display

Make a small vector CRT display

Make larger LED displays

Make a few CRT displays

Learn how to manage computer memory

Make datasettes

Make a datasette deck

Make floppy disks

Make a floppy drive

Learn how to control data

Learn binary base

Learn hexadecimal base

Learn octal base

Learn registers

Learn timing information

Learn assembly common mnemonics

Learn arithmetic operations

Learn logic operations (AND, OR, XOR, NOT, NAND, NOR, NXOR, IMPLY)

Learn masking

Learn assembly language basics

Learn stack construct’s operations

Learn calling conventions

Learn to use Application Binary Interface or ABI

Learn to make your own ABIs

Learn to use memory maps

Learn to make memory maps

Make a clock

Make a front panel

Make a calculator

Learn about existing instruction sets (Intel, ARM, RISC-V, PIC, AVR, SPARC, MIPS, Intersil 6120, Z80...)

Design a instruction set

Compose a assembler

Compose a disassembler

Compose a emulator

Write a B-derivative programming language (somewhat similar to C)

Write a IPL-derivative programming language (somewhat similar to Lisp and Scheme)

Write a general markup language (like GML, SGML, HTML, XML...)

Write a Turing tarpit (like Brainfuck)

Write a scripting language (like Bash)

Write a database system (like VisiCalc or SQL)

Write a CLI shell (basic operating system like Unix or CP/M)

Write a single-user GUI operating system (like Xerox Star’s Pilot)

Write a multi-user GUI operating system (like Linux)

Write various software utilities for my various OSes

Write various games for my various OSes

Write various niche applications for my various OSes

Implement a awesome model in very large scale integration, like the Commodore CBM-II

Implement a epic model in integrated circuits, like the DEC PDP-15

Implement a modest model in transistor-transistor logic, similar to the DEC PDP-12

Implement a simple model in diode-transistor logic, like the original DEC PDP-8

Implement a simpler model in later vacuum tubes, like the IBM 700 series

Implement simplest model in early vacuum tubes, like the EDSAC

[...]

(Conlang)=

Choose sounds

Choose phonotactics

[...]

(Animation ‘movie’)=

[...]

(Exploration top-down ’racing game’)=

[...]

(Video dictionary)=

[...]

(Grand strategy game)=

[...]

(Telex system)=

[...]

(Pen&paper tabletop game)=

[...]

(Search engine)=

[...]

(Microlearning system)=

[...]

(Alternate planet)=

[...]

(END)

#personal project

4 notes · View notes

computingpostcom · 3 years ago

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In this article we provide the steps for installing UniFi Network Application / UniFi Controller on Ubuntu 18.04 / Debian 9 Linux system. Ubiquiti offers a wide range of Access Points, Switches, Firewall devices, Routers, Cameras, among many other appliances which are managed from a single point. The commonly used management interface is provided by UniFi Dream Machine Pro. The UniFi Network Application (formerly UniFi Controller), is a wireless network management software solution from Ubiquiti Networks™. This tools provides the capability to manage multiple UniFI networks devices from a web browser. UniFi Network Application can be installed on Windows, macOS and Linux operating systems. In the guide that we did earlier, we covered installation process on macOS: Install UniFi Network Application on macOS For running in Docker see guide in the link below: How To Run UniFi Controller in Docker Container Below are the installation requirements for UniFi Network Application; A DHCP-enabled network Linux, Mac OS X, or Microsoft Windows 7/8 – Running controller software. Java Runtime Environment 8 Web Browser: Mozilla Firefox, Google Chrome, or Microsoft Internet Explorer 8 (or above) For UniFi Network Application installation on Linux, supported operating systems as of this article update are; Ubuntu 18.04 and 16.04 Debian 9 / Debian 8 Software versions requirements: Java 8 (My test with Java 17 and Java 11 failed). MongoDB =3.6 (We’ll install MongoDB 4.0) Before you proceed further query OS details through contents in /etc/os-release file to ensure OS version requirement is met. $ cat /etc/os-release NAME="Ubuntu" VERSION="18.04.6 LTS (Bionic Beaver)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 18.04.6 LTS" VERSION_ID="18.04" HOME_URL="https://www.ubuntu.com/" SUPPORT_URL="https://help.ubuntu.com/" BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/" PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy" VERSION_CODENAME=bionic UBUNTU_CODENAME=bionic From the output we can see this installation is on Ubuntu 18.04 (Bionic Beaver), which is supported. Add UniFi and MongoDB APT repositories It’s always a good recommendation to keep your system updated. Run the commands below to update your OS. sudo apt update && sudo apt -y full-upgrade After the update perform a reboot if it’s required. [ -f /var/run/reboot-required ] && sudo reboot -f Install software packages required to configure UniFi and MongoDB APT repositories. sudo apt install curl gpg gnupg2 software-properties-common apt-transport-https lsb-release ca-certificates Add UniFi APT repository Import repository GPG key used in signing UniFi APT packages. sudo wget -O /etc/apt/trusted.gpg.d/unifi-repo.gpg https://dl.ui.com/unifi/unifi-repo.gpg Add UniFi APT repository by executing commands below in your terminal. echo 'deb https://www.ui.com/downloads/unifi/debian stable ubiquiti' | sudo tee /etc/apt/sources.list.d/ubnt-unifi.list Add MongoDB APT repository Start by adding GPG key to your system keyring. wget -qO - https://www.mongodb.org/static/pgp/server-4.0.asc | sudo apt-key add - You should get a message in the output that says “OK” if this was successful. Next add repository to your system. ### Ubuntu 18.04 ### echo "deb https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list ### Debian 9 ### echo "deb https://repo.mongodb.org/apt/debian stretch/mongodb-org/4.0 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-4.0.list Once all the repositories have beed added, test if they are functional. ### Ubuntu 18.04 ### $ sudo apt update Get:1 http://mirrors.digitalocean.com/ubuntu bionic InRelease [242 kB] Ign:2 https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 InRelease Hit:3 https://repos-droplet.digitalocean.com/apt/droplet-agent main InRelease Get:4 https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 Release [2989 B]

Hit:6 http://mirrors.digitalocean.com/ubuntu bionic-updates InRelease Hit:7 http://security.ubuntu.com/ubuntu bionic-security InRelease Get:8 https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0 Release.gpg [801 B] Hit:9 http://mirrors.digitalocean.com/ubuntu bionic-backports InRelease Get:5 https://dl.ubnt.com/unifi/debian stable InRelease [3038 B] Get:10 https://repo.mongodb.org/apt/ubuntu bionic/mongodb-org/4.0/multiverse amd64 Packages [18.4 kB] Get:11 https://dl.ubnt.com/unifi/debian stable/ubiquiti amd64 Packages [732 B] Fetched 268 kB in 1s (319 kB/s) Reading package lists... Done Building dependency tree Reading state information... Done ### Debian 9 ### $ sudo apt update Hit:1 http://security.debian.org stretch/updates InRelease Ign:2 http://mirrors.digitalocean.com/debian stretch InRelease Hit:3 http://mirrors.digitalocean.com/debian stretch-updates InRelease Hit:4 http://mirrors.digitalocean.com/debian stretch Release Ign:5 https://repo.mongodb.org/apt/debian stretch/mongodb-org/4.0 InRelease Hit:6 https://repos-droplet.digitalocean.com/apt/droplet-agent main InRelease Get:8 https://repo.mongodb.org/apt/debian stretch/mongodb-org/4.0 Release [1490 B] Get:9 https://repo.mongodb.org/apt/debian stretch/mongodb-org/4.0 Release.gpg [801 B] Get:7 https://dl.ubnt.com/unifi/debian stable InRelease [3038 B] Get:11 https://dl.ubnt.com/unifi/debian stable/ubiquiti amd64 Packages [732 B] Fetched 6061 B in 1s (5707 B/s) Reading package lists... Done Building dependency tree Reading state information... Done Install Java 8 on Ubuntu 18.04 / Debian 9 Restrict Ubuntu and your Debian system from automatically installing Java 11 / Java 17: sudo apt-mark hold openjdk-11-* sudo apt-mark hold openjdk-17-* Install Java 8 from OS default APT repositories. sudo apt install openjdk-8-jdk openjdk-8-jre Remove any newer version of Java installed – Java 11 or Java 17. sudo apt remove openjdk-11-* openjdk-17-* sudo apt install openjdk-8-jdk openjdk-8-jre Confirm installed Java version with the command java -version , it should show openjdk 1.8 $ java -version openjdk version "1.8.0_312" OpenJDK Runtime Environment (build 1.8.0_312-8u312-b07-0ubuntu1~18.04-b07) OpenJDK 64-Bit Server VM (build 25.312-b07, mixed mode) Install UniFi Network Application on Ubuntu 18.04 / Debian 9 We can now install UniFi Network Application on Ubuntu 18.04 / Debian 9 once Java 8 is confirmed to be the default Java version in the system. Run the commands below to install the latest release of UniFi Network Application (UniFi Controller). sudo apt install unifi Accept installation prompt as requested. Reading package lists... Done Building dependency tree Reading state information... Done The following additional packages will be installed: binutils binutils-common binutils-x86-64-linux-gnu ca-certificates-java fontconfig-config fonts-dejavu-core java-common jsvc libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libbinutils libboost-filesystem1.65.1 libboost-iostreams1.65.1 libboost-program-options1.65.1 libboost-system1.65.1 libcommons-daemon-java libcups2 libfontconfig1 libgoogle-perftools4 libgraphite2-3 libharfbuzz0b libjpeg-turbo8 libjpeg8 liblcms2-2 libnspr4 libnss3 libpcrecpp0v5 libpcsclite1 libsnappy1v5 libstemmer0d libtcmalloc-minimal4 libyaml-cpp0.5v5 mongo-tools mongodb-clients mongodb-server mongodb-server-core openjdk-17-jre-headless Suggested packages: binutils-doc default-jre libasound2-plugins alsa-utils java-virtual-machine cups-common liblcms2-utils pcscd libnss-mdns fonts-dejavu-extra fonts-ipafont-gothic fonts-ipafont-mincho fonts-wqy-microhei | fonts-wqy-zenhei fonts-indic The following NEW packages will be installed: binutils binutils-common binutils-x86-64-linux-gnu ca-certificates-java fontconfig-config fonts-dejavu-core java-common jsvc libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libbinutils libboost-filesystem1.

65.1 libboost-iostreams1.65.1 libboost-program-options1.65.1 libboost-system1.65.1 libcommons-daemon-java libcups2 libfontconfig1 libgoogle-perftools4 libgraphite2-3 libharfbuzz0b libjpeg-turbo8 libjpeg8 liblcms2-2 libnspr4 libnss3 libpcrecpp0v5 libpcsclite1 libsnappy1v5 libstemmer0d libtcmalloc-minimal4 libyaml-cpp0.5v5 mongo-tools mongodb-clients mongodb-server mongodb-server-core openjdk-17-jre-headless unifi 0 upgraded, 41 newly installed, 0 to remove and 57 not upgraded. Need to get 280 MB of archives. After this operation, 724 MB of additional disk space will be used. Do you want to continue? [Y/n] y Manually installing UniFi Network Application on Ubuntu 18.04 / Debian 9 If you prefer to manually download a .deb package, visit the download the UniFi Controller software from the Ubiquiti Networks website. Choose “Debian / Ubuntu Linux and UniFi Cloud Key” from software list. Click the “Download” button that shows up after selecting. Use “Download File” button or copy Direct URL and use command line downloaders to get the file in your local system. Downloading the file with wget: wget https://dl.ui.com/unifi//unifi_sysvinit_all.deb Installation of .deb package can be done with apt while passing dowloaded file path as an argument. $ sudo apt install ./unifi_sysvinit_all.deb Reading package lists... Done Building dependency tree Reading state information... Done Note, selecting 'unifi' instead of './unifi_sysvinit_all.deb' The following additional packages will be installed: binutils binutils-common binutils-x86-64-linux-gnu ca-certificates-java fontconfig-config fonts-dejavu-core java-common jsvc libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libbinutils libboost-filesystem1.65.1 libboost-iostreams1.65.1 libboost-program-options1.65.1 libboost-system1.65.1 libcommons-daemon-java libcups2 libfontconfig1 libgoogle-perftools4 libgraphite2-3 libharfbuzz0b libjpeg-turbo8 libjpeg8 liblcms2-2 libnspr4 libnss3 libpcrecpp0v5 libpcsclite1 libsnappy1v5 libstemmer0d libtcmalloc-minimal4 libyaml-cpp0.5v5 mongo-tools mongodb-clients mongodb-server mongodb-server-core openjdk-17-jre-headless Suggested packages: binutils-doc default-jre libasound2-plugins alsa-utils java-virtual-machine cups-common liblcms2-utils pcscd libnss-mdns fonts-dejavu-extra fonts-ipafont-gothic fonts-ipafont-mincho fonts-wqy-microhei | fonts-wqy-zenhei fonts-indic The following NEW packages will be installed: binutils binutils-common binutils-x86-64-linux-gnu ca-certificates-java fontconfig-config fonts-dejavu-core java-common jsvc libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libbinutils libboost-filesystem1.65.1 libboost-iostreams1.65.1 libboost-program-options1.65.1 libboost-system1.65.1 libcommons-daemon-java libcups2 libfontconfig1 libgoogle-perftools4 libgraphite2-3 libharfbuzz0b libjpeg-turbo8 libjpeg8 liblcms2-2 libnspr4 libnss3 libpcrecpp0v5 libpcsclite1 libsnappy1v5 libstemmer0d libtcmalloc-minimal4 libyaml-cpp0.5v5 mongo-tools mongodb-clients mongodb-server mongodb-server-core openjdk-17-jre-headless unifi 0 upgraded, 41 newly installed, 0 to remove and 57 not upgraded. Need to get 280 MB of archives. After this operation, 724 MB of additional disk space will be used. Do you want to continue? [Y/n] y Successful installation output; Note, selecting 'unifi' instead of './unifi_sysvinit_all.deb' unifi is already the newest version (7.1.66-17875-1). 0 upgraded, 0 newly installed, 0 to remove and 57 not upgraded. Access UniFi Network Application on Web browser To restart the service run the following commands: sudo systemctl restart unifi.service Confirm that the status is running: $ systemctl status unifi.service ● unifi.service - unifi Loaded: loaded (/lib/systemd/system/unifi.service; enabled; vendor preset: enabled) Active: active (running) since Mon 2022-07-11 23:46:08 UTC; 18s ago Process: 12237 ExecStop=/usr/lib/unifi/bin/unifi.init stop (code=exited, status=0/SUCCESS)

Process: 12307 ExecStart=/usr/lib/unifi/bin/unifi.init start (code=exited, status=0/SUCCESS) Main PID: 12375 (jsvc) Tasks: 101 (limit: 2314) CGroup: /system.slice/unifi.service ├─12375 unifi -cwd /usr/lib/unifi -home /usr/lib/jvm/java-8-openjdk-amd64 -cp /usr/share/java/commons-daemon.jar:/usr/lib/unifi/lib/ace.jar -pidfile /var/run/unifi.pid -procname unifi -ou ├─12377 unifi -cwd /usr/lib/unifi -home /usr/lib/jvm/java-8-openjdk-amd64 -cp /usr/share/java/commons-daemon.jar:/usr/lib/unifi/lib/ace.jar -pidfile /var/run/unifi.pid -procname unifi -ou ├─12378 unifi -cwd /usr/lib/unifi -home /usr/lib/jvm/java-8-openjdk-amd64 -cp /usr/share/java/commons-daemon.jar:/usr/lib/unifi/lib/ace.jar -pidfile /var/run/unifi.pid -procname unifi -ou ├─12397 /usr/lib/jvm/java-8-openjdk-amd64/jre/bin/java -Dfile.encoding=UTF-8 -Djava.awt.headless=true -Dapple.awt.UIElement=true -Dunifi.core.enabled=false -Xmx1024M -XX:+ExitOnOutOfMemor └─12449 bin/mongod --dbpath /usr/lib/unifi/data/db --port 27117 --unixSocketPrefix /usr/lib/unifi/run --logRotate reopen --logappend --logpath /usr/lib/unifi/logs/mongod.log --pidfilepath Jul 11 23:45:51 unifi-controller systemd[1]: Stopped unifi. Jul 11 23:45:51 unifi-controller systemd[1]: Starting unifi... Jul 11 23:45:51 unifi-controller unifi.init[12307]: * Starting Ubiquiti UniFi Network application unifi Jul 11 23:46:08 unifi-controller unifi.init[12307]: ...done. Jul 11 23:46:08 unifi-controller systemd[1]: Started unifi. Services should be available on port 8080 and port 8443. jmutai@unifi-controller:~$ ss -tunelp | egrep '8080|8443' tcp LISTEN 0 100 *:8443 *:* uid:112 ino:47897 sk:a v6only:0 tcp LISTEN 0 100 *:8080 *:* uid:112 ino:47891 sk:e v6only:0 Access UniFi Network Application on a web browser using the server IP address an port 8443. https://172.20.30.20:8443/ You’ll get SSL warnings while trying to access the portal. Click “Advanced” and “Proceed” to the portal. From your clients (UniFi devices), ping UniFi controller IP address to validate network connectivity. U6-LR-BZ.6.0.21# ping 172.20.30.20 -c 2 PING 172.20.30.20 (172.20.30.20): 56 data bytes 64 bytes from 172.20.30.20: seq=0 ttl=63 time=0.883 ms 64 bytes from 172.20.30.20: seq=1 ttl=63 time=0.885 ms --- 172.20.30.20 ping statistics --- 2 packets transmitted, 2 packets received, 0% packet loss round-trip min/avg/max = 0.883/0.884/0.885 ms Pointing UniFi Devices to new Network Application (UniFi Controller) if this setup is new, your Network Application will discover all UniFi network devices in your network. Check out initial UniFi Network Application configuration in our recent macOS guide: Configure UniFi Network Application If you’re replacing an old Controller, then login to your UniFi devices and set inform address to the new server address and port. See below example. set-inform http://172.20.30.20:8080/inform Give it sometime and status should reflect the recent update we populated. US-16-150W-US.6.2.14# info Model: US-16-150W Version: 6.2.14.13855 MAC Address: 98:8a:20:fd:ea:94 IP Address: 192.168.1.116 Hostname: US-16-150W Uptime: 992330 seconds Status: Connected (http://172.20.30.20:8080/inform) Your uniFi devices will be available for administration from Web browser once they’re enrolled / imported for management via UniFi Network Application. Log Files Location UniFi Network Application have log files that are essential for any troubleshooting required. Logs files available are; /usr/lib/unifi/logs/server.log /usr/lib/unifi/logs/mongod.log We’re working on more articles around UniFi network infrastructure and other integrations. Stay tuned for updates.

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betterluxury102 · 3 years ago

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hardtesingjea · 3 years ago

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Windows 10 の N および KN エディションには Windows 10 とほぼ同じ機能が含まれていますが、メディア関連テクノロジ (Windows Media Player) と特定のプレインストールされたメディアアプリ (音楽、ビデオ、ボイスレコーダー、Skype) を除きます。 · Windows PCにMicrosoft Outlook をダウンロードしてインストールします。あなたのコンピュータにMicrosoft Outlookをこのポストから無料でダウンロードしてインストールすることができます。PC上でMicrosoft Outlookを使うこの方法は、Windows 7/8 / / 10とすべてのMac OSで動作します。 Windows までは、プロダクトキーを入力しないと使うことができませんでした。. なんとWindows 10からは、プロダクトキーを入力しないで使うことが可能です。. 仮想環境を試したり、クローンを作って少しだけ動作確認をしたい場合等にも有効です

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本記事は「 Docker Advent Calendar 」の21日目のエントリとなります。アドカレと関係なくブログに書こうと思ってましたが、丁度カレンダーが空いていたので滑り込みました。. Docker Desktop for Mac and Windows Docker. というか、昔大体2年前くらいはHome Editionには Hyper-Vが使えずインストールできず、 WSL使ってもDocker Composeで難ありで、Docker Toolboxはサポート終了と八方ふさがりだったりしましたが、少し前にWSL2対応やHomeでもHyper-V対応などが進んでDocker Desktopが使えるようになりました。以前苦戦して結局VMのLinuxでDocker入れてそのまま利用してる人私も、改めてWindowsへDockerをインストールし、VS CodeのRemote Container使った環境などを作っても良いと思います。.

よく、 PowerShellを使った設定やコントロールパネルの「Windowsの機能の有効化または無効化」で「Hyper-Vを有効にする」「仮想マシンプラットフォームを有効にする」などの事前準備が書かれた記事がありますが実は必要ないです。 Docker Desktopのインストーラが自動でやってくれます。. これで終わりだったら本当に簡単すぎるのですが、WSL2のインストールで追加の作業が必要です。 Windowsが起動すると「WSL 2 installation is incomplete.

これでWSL2の準備も完了したので、最初に表示されていたダイアログの「Restart」を押下します。このRestartはWindowsではなくDockerのプロセスが再起動されます。. hello worldコンテナもあるけれど、この時期なので以下を実行してみましょう。実行結果はぜひお手元の環境で試してみてください. あとは初期ユーザーを作成すればWikiにログインでき、初期設定 Wiki名やファイルアップロード設定を行えば普通に利用できます。ファイルアップロード設定は「MongoDB GridFS 」を選択すれば内部DB使ってファイルアップロードできるようになります. こちらもCtrl-cで停止しますが、Wikiのデータは停止しても残ります。オプションの -d を追加して docker-compose up -d と実行すればバックグラウンドで実行するので、通常利用時はこちらが良いかもしれません。.

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luckyloading560 · 4 years ago

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Docker Commands Windows

Docker Commands Windows Server 2016

MongoDB document databases provide high availability and easy scalability. You do not need to push your certificates with git commands. When the Docker Desktop application starts, it copies the /.docker/certs.d folder on your Windows system to the /etc/docker/certs.d directory on Moby (the Docker Desktop virtual machine running on Hyper-V). Docker Desktop for Windows can’t route traffic to Linux containers. However, you can ping the Windows containers. Per-container IP addressing is not possible. The docker (Linux) bridge network is not reachable from the Windows host. However, it works with Windows containers. Use cases and workarounds.

Estimated reading time: 15 minutes

Welcome to Docker Desktop! The Docker Desktop for Windows user manual provides information on how to configure and manage your Docker Desktop settings.

For information about Docker Desktop download, system requirements, and installation instructions, see Install Docker Desktop.

Settings

The Docker Desktop menu allows you to configure your Docker settings such as installation, updates, version channels, Docker Hub login,and more.

This section explains the configuration options accessible from the Settings dialog.

Open the Docker Desktop menu by clicking the Docker icon in the Notifications area (or System tray):

Select Settings to open the Settings dialog:

General

On the General tab of the Settings dialog, you can configure when to start and update Docker.

Start Docker when you log in - Automatically start Docker Desktop upon Windows system login.

Expose daemon on tcp://localhost:2375 without TLS - Click this option to enable legacy clients to connect to the Docker daemon. You must use this option with caution as exposing the daemon without TLS can result in remote code execution attacks.

Send usage statistics - By default, Docker Desktop sends diagnostics,crash reports, and usage data. This information helps Docker improve andtroubleshoot the application. Clear the check box to opt out. Docker may periodically prompt you for more information.

Resources

The Resources tab allows you to configure CPU, memory, disk, proxies, network, and other resources. Different settings are available for configuration depending on whether you are using Linux containers in WSL 2 mode, Linux containers in Hyper-V mode, or Windows containers.

Advanced

Note

The Advanced tab is only available in Hyper-V mode, because in WSL 2 mode and Windows container mode these resources are managed by Windows. In WSL 2 mode, you can configure limits on the memory, CPU, and swap size allocatedto the WSL 2 utility VM.

Use the Advanced tab to limit resources available to Docker.

CPUs: By default, Docker Desktop is set to use half the number of processorsavailable on the host machine. To increase processing power, set this to ahigher number; to decrease, lower the number.

Memory: By default, Docker Desktop is set to use 2 GB runtime memory,allocated from the total available memory on your machine. To increase the RAM, set this to a higher number. To decrease it, lower the number.

Swap: Configure swap file size as needed. The default is 1 GB.

Disk image size: Specify the size of the disk image.

Disk image location: Specify the location of the Linux volume where containers and images are stored.

You can also move the disk image to a different location. If you attempt to move a disk image to a location that already has one, you get a prompt asking if you want to use the existing image or replace it.

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File sharing

Note

The File sharing tab is only available in Hyper-V mode, because in WSL 2 mode and Windows container mode all files are automatically shared by Windows.

Use File sharing to allow local directories on Windows to be shared with Linux containers.This is especially useful forediting source code in an IDE on the host while running and testing the code in a container.Note that configuring file sharing is not necessary for Windows containers, only Linux containers. If a directory is not shared with a Linux container you may get file not found or cannot start service errors at runtime. See Volume mounting requires shared folders for Linux containers.

File share settings are:

Add a Directory: Click + and navigate to the directory you want to add.

Apply & Restart makes the directory available to containers using Docker’sbind mount (-v) feature.

Tips on shared folders, permissions, and volume mounts

Share only the directories that you need with the container. File sharing introduces overhead as any changes to the files on the host need to be notified to the Linux VM. Sharing too many files can lead to high CPU load and slow filesystem performance.

Shared folders are designed to allow application code to be edited on the host while being executed in containers. For non-code items such as cache directories or databases, the performance will be much better if they are stored in the Linux VM, using a data volume (named volume) or data container.

Docker Desktop sets permissions to read/write/execute for users, groups and others 0777 or a+rwx.This is not configurable. See Permissions errors on data directories for shared volumes.

Windows presents a case-insensitive view of the filesystem to applications while Linux is case-sensitive. On Linux it is possible to create 2 separate files: test and Test, while on Windows these filenames would actually refer to the same underlying file. This can lead to problems where an app works correctly on a developer Windows machine (where the file contents are shared) but fails when run in Linux in production (where the file contents are distinct). To avoid this, Docker Desktop insists that all shared files are accessed as their original case. Therefore if a file is created called test, it must be opened as test. Attempts to open Test will fail with “No such file or directory”. Similarly once a file called test is created, attempts to create a second file called Test will fail.

Shared folders on demand

You can share a folder “on demand” the first time a particular folder is used by a container.

If you run a Docker command from a shell with a volume mount (as shown in theexample below) or kick off a Compose file that includes volume mounts, you get apopup asking if you want to share the specified folder.

You can select to Share it, in which case it is added your Docker Desktop Shared Folders list and available tocontainers. Alternatively, you can opt not to share it by selecting Cancel.

Proxies

Docker Desktop lets you configure HTTP/HTTPS Proxy Settings andautomatically propagates these to Docker. For example, if you set your proxysettings to http://proxy.example.com, Docker uses this proxy when pulling containers.

Your proxy settings, however, will not be propagated into the containers you start.If you wish to set the proxy settings for your containers, you need to defineenvironment variables for them, just like you would do on Linux, for example:

For more information on setting environment variables for running containers,see Set environment variables.

Network

Note

The Network tab is not available in Windows container mode because networking is managed by Windows.

You can configure Docker Desktop networking to work on a virtual private network (VPN). Specify a network address translation (NAT) prefix and subnet mask to enable Internet connectivity.

DNS Server: You can configure the DNS server to use dynamic or static IP addressing.

Note

Some users reported problems connecting to Docker Hub on Docker Desktop. This would manifest as an error when trying to rundocker commands that pull images from Docker Hub that are not alreadydownloaded, such as a first time run of docker run hello-world. If youencounter this, reset the DNS server to use the Google DNS fixed address:8.8.8.8. For more information, seeNetworking issues in Troubleshooting.

Updating these settings requires a reconfiguration and reboot of the Linux VM.

WSL Integration

In WSL 2 mode, you can configure which WSL 2 distributions will have the Docker WSL integration.

By default, the integration will be enabled on your default WSL distribution. To change your default WSL distro, run wsl --set-default <distro name>. (For example, to set Ubuntu as your default WSL distro, run wsl --set-default ubuntu).

You can also select any additional distributions you would like to enable the WSL 2 integration on.

For more details on configuring Docker Desktop to use WSL 2, see Docker Desktop WSL 2 backend.

Docker Engine

The Docker Engine page allows you to configure the Docker daemon to determine how your containers run.

Type a JSON configuration file in the box to configure the daemon settings. For a full list of options, see the Docker Enginedockerd commandline reference.

Click Apply & Restart to save your settings and restart Docker Desktop.

Command Line

On the Command Line page, you can specify whether or not to enable experimental features.

You can toggle the experimental features on and off in Docker Desktop. If you toggle the experimental features off, Docker Desktop uses the current generally available release of Docker Engine. Final cut pro mac app store.

Experimental features

Experimental features provide early access to future product functionality.These features are intended for testing and feedback only as they may changebetween releases without warning or can be removed entirely from a futurerelease. Experimental features must not be used in production environments.Docker does not offer support for experimental features.

For a list of current experimental features in the Docker CLI, see Docker CLI Experimental features.

Run docker version to verify whether you have enabled experimental features. Experimental modeis listed under Server Adobe photoshop 2020 patcher windows. data. Sonos controller mac 10.6.8 download. If Experimental is true, then Docker isrunning in experimental mode, as shown here:

Kubernetes

Note

The Kubernetes tab is not available in Windows container mode.

Docker Desktop includes a standalone Kubernetes server that runs on your Windows machince, sothat you can test deploying your Docker workloads on Kubernetes. To enable Kubernetes support and install a standalone instance of Kubernetes running as a Docker container, select Enable Kubernetes.

For more information about using the Kubernetes integration with Docker Desktop, see Deploy on Kubernetes.

Reset

The Restart Docker Desktop and Reset to factory defaults options are now available on the Troubleshoot menu. For information, see Logs and Troubleshooting.

Troubleshoot

Visit our Logs and Troubleshooting guide for more details.

Log on to our Docker Desktop for Windows forum to get help from the community, review current user topics, or join a discussion.

Log on to Docker Desktop for Windows issues on GitHub to report bugs or problems and review community reported issues.

For information about providing feedback on the documentation or update it yourself, see Contribute to documentation.

Switch between Windows and Linux containers

From the Docker Desktop menu, you can toggle which daemon (Linux or Windows)the Docker CLI talks to. Select Switch to Windows containers to use Windowscontainers, or select Switch to Linux containers to use Linux containers(the default).

For more information on Windows containers, refer to the following documentation:

Microsoft documentation on Windows containers.

Build and Run Your First Windows Server Container (Blog Post)gives a quick tour of how to build and run native Docker Windows containers on Windows 10 and Windows Server 2016 evaluation releases.

Getting Started with Windows Containers (Lab)shows you how to use the MusicStoreapplication with Windows containers. The MusicStore is a standard .NET application and,forked here to use containers, is a good example of a multi-container application.

To understand how to connect to Windows containers from the local host, seeLimitations of Windows containers for localhost and published ports

Settings dialog changes with Windows containers

When you switch to Windows containers, the Settings dialog only shows those tabs that are active and apply to your Windows containers:

If you set proxies or daemon configuration in Windows containers mode, theseapply only on Windows containers. If you switch back to Linux containers,proxies and daemon configurations return to what you had set for Linuxcontainers. Your Windows container settings are retained and become availableagain when you switch back.

Dashboard

The Docker Desktop Dashboard enables you to interact with containers and applications and manage the lifecycle of your applications directly from your machine. The Dashboard UI shows all running, stopped, and started containers with their state. It provides an intuitive interface to perform common actions to inspect and manage containers and Docker Compose applications. For more information, see Docker Desktop Dashboard.

Docker Hub

Docker Commands Windows

Select Sign in /Create Docker ID from the Docker Desktop menu to access your Docker Hub account. Once logged in, you can access your Docker Hub repositories directly from the Docker Desktop menu.

For more information, refer to the following Docker Hub topics:

Two-factor authentication

Docker Desktop enables you to sign into Docker Hub using two-factor authentication. Two-factor authentication provides an extra layer of security when accessing your Docker Hub account.

You must enable two-factor authentication in Docker Hub before signing into your Docker Hub account through Docker Desktop. For instructions, see Enable two-factor authentication for Docker Hub.

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After you have enabled two-factor authentication:

Docker Commands Windows Server 2016

Go to the Docker Desktop menu and then select Sign in / Create Docker ID.

Enter your Docker ID and password and click Sign in.

After you have successfully signed in, Docker Desktop prompts you to enter the authentication code. Enter the six-digit code from your phone and then click Verify.

After you have successfully authenticated, you can access your organizations and repositories directly from the Docker Desktop menu.

Adding TLS certificates

You can add trusted Certificate Authorities (CAs) to your Docker daemon to verify registry server certificates, and client certificates, to authenticate to registries.

How do I add custom CA certificates?

Docker Desktop supports all trusted Certificate Authorities (CAs) (root orintermediate). Docker recognizes certs stored under Trust RootCertification Authorities or Intermediate Certification Authorities.

Docker Desktop creates a certificate bundle of all user-trusted CAs based onthe Windows certificate store, and appends it to Moby trusted certificates. Therefore, if an enterprise SSL certificate is trusted by the user on the host, it is trusted by Docker Desktop.

To learn more about how to install a CA root certificate for the registry, seeVerify repository client with certificatesin the Docker Engine topics.

How do I add client certificates?

You can add your client certificatesin ~/.docker/certs.d/<MyRegistry>:<Port>/client.cert and~/.docker/certs.d/<MyRegistry>:<Port>/client.key. You do not need to push your certificates with git commands.

When the Docker Desktop application starts, it copies the~/.docker/certs.d folder on your Windows system to the /etc/docker/certs.ddirectory on Moby (the Docker Desktop virtual machine running on Hyper-V).

You need to restart Docker Desktop after making any changes to the keychainor to the ~/.docker/certs.d directory in order for the changes to take effect.

The registry cannot be listed as an insecure registry (seeDocker Daemon). Docker Desktop ignorescertificates listed under insecure registries, and does not send clientcertificates. Commands like docker run that attempt to pull from the registryproduce error messages on the command line, as well as on the registry.

To learn more about how to set the client TLS certificate for verification, seeVerify repository client with certificatesin the Docker Engine topics.

Where to go next

Try out the walkthrough at Get Started.

Dig in deeper with Docker Labs example walkthroughs and source code.

Refer to the Docker CLI Reference Guide.

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0 notes

tastethelinux · 4 years ago

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Install Docker on Linux and run a MongoDB Container.

Hi hope you are doing well, lets learn about “How to Setup and Install Docker on Linux and Run a MongoDB Container”, the Docker is the fastest growing technology in the IT market. Many industries are moving towards docker from the normal EC2 instances. Docker is the container technology. It is PAAS (Platform as a Service), which uses a OS virtualisation to deliver software in packages called…

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#docker hub #docker mongodb #install docker in Linux #install docker on linux #run mongodb container

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xmumopensourcepromotion · 4 years ago

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30 Widely Used Open Source Software

Suggested Reading Time: 10 min

*WeChat Public Account: XMUM_OSC

It is undeniable that open source technology is widely use in business. Companies who lead the trend in IT field, such as Google and Microsoft, accept and promote using open source software. Partnerships with companies such as MongoDB, Redis Labs, Neo4j, and Confluent of Google Cloud are good examples of this.

Red Hat, the originator of linux, the open source company, firstly launched an investigation into the “The State of Enterprise Open Source” and released the investigation report on April 16, 2019. This report is a result of interviews with 950 IT pioneers around the world. The survey areas include the United States, the United Kingdom, Latin America, and the Asia-Pacific region, aiming to understand corporate open source profiles in different geographic regions.

Does the company believe that open source is of strategic significance? This is the question that Red Hat first raised and most wanted to understand. The survey results show that the vast majority of 950 respondents believe that open source is of strategic importance to the company's overall infrastructure software strategy. Red Hat CEO Jim Whitehurst said at the beginning of the survey report, “The most exciting technological innovation that has occurred in this era is taking shape in the open source community.”

Up to now, the investigation has continued to the third round, and the results have been published on February 24, 2021.

Some of the most open source projects favored by IT companies. These are mainly enterprise-oriented application software projects, covering several categories such as web servers, big data and cloud computing, cloud storage, operating systems, and databases.

Web Servers: Nginx, Lighttpd, Tomcat and Apache

1. Nginx

Nginx (engine x) is a high-performance HTTP and reverse proxy web server developed by the Russians. It also provides IMAP/POP3/SMTP services. Its characteristics are that it occupies less memory and has strong concurrency. The concurrency of Nginx performs better in the same type of web server. Many people use Nginx as a load balancer and web reverse proxy.

Supported operating systems: Windows, Linux and OS X.

Link: http://nginx.org/

2. Lighttpd

Lighttpd is a lightweight open source web server software whose fundamental purpose is to provide a safe, fast, compatible and flexible web server environment specifically for high-performance websites. It has the characteristics of very low memory overhead, low cpu occupancy rate, good performance and abundant modules. It is widely used in some embedded web servers.

Supported operating systems: Windows, Linux and OS X

Link: https://www.lighttpd.net/

3. Tomcat

Tomcat server is a free and open source Web application server, which is a lightweight application server, mainly used to run JSP pages and Servlets. Because Tomcat has advanced technology, stable performance, and free of charge, it is loved by Java enthusiasts and recognized by some software developers, making it a popular Web application server.

Supported operating systems: Windows, Linux and OS X

Link: https://tomcat.apache.org/

4. Apache HTTP Server

Apache HTTP Server (Apache for short) is an open source web server of the Apache Software Foundation. It can run on most computer operating systems. Because of its cross-platform and security, it has been widely used since 1996. The most popular Web server system on the Internet since the beginning of the year. It is said that 55.3% of all websites are currently supported by Apache.

Supported operating systems: Windows, Linux and OS X

Link: https://httpd.apache.org/

Big Data and Cloud Computing: Hadoop、Docker、Spark、Storm

5. Hadoop

Hadoop is a distributed system infrastructure developed by the Apache Foundation. It is recognized as a set of industry big data standard open source software, which provides massive data processing capabilities in a distributed environment. Almost all mainstream vendors focus on Hadoop development tools, open source software, commercial tools, and technical services. Hadoop has become the standard framework for big data.

Supported operating systems: Windows, Linux and OS X

Link: http://hadoop.apache.org/

6. Docker

Docker is an open source application container engine. Developers can package their own applications into containers, and then migrate to docker applications on other machines, which can achieve rapid deployment and are widely used in the field of big data. Basically, companies that do big data will use this tool.

Supported operating systems: Windows, Linux and OS X

Link: https://www.docker.com/

7. Spark

Apache Spark is a fast and universal computing engine designed for large-scale data processing. Spark is similar to the general parallel framework of Hadoop MapReduce. Apache Spark claims, "It runs programs in memory up to 100 times faster than Hadoop MapReduce and 10 times faster on disk. Spark is better suited for data mining and machine learning algorithms that require iterative MapReduce.

Supported operating systems: Windows, Linux and OS X

Link: http://spark.apache.org/

8. Storm

Storm is a Twitter open source distributed real-time big data processing system, which is called the real-time version of Hadoop by the industry. As more and more scenarios cannot tolerate the high latency of Hadoop's MapReduce, such as website statistics, recommendation systems, early warning systems, financial systems (high-frequency trading, stocks), etc., big data real-time processing solutions (stream computing) The application is becoming more and more extensive, and it is now the latest breaking point in the field of distributed technology, and Storm is the leader and mainstream in stream computing technology.

Supported operating systems: Windows, Linux and OS X

Link: https://storm.apache.org/

9. Cloud Foundry

Cloud Foundry is the industry's first open source PaaS cloud platform. It supports multiple frameworks, languages, runtime environments, cloud platforms and application services, enabling developers to deploy and expand applications in a few seconds without worrying about anything Infrastructure issues. It claims to be "built by industry leaders for industry leaders," and its backers include IBM, Pivotal, Hewlett-Packard Enterprise, VMware, Intel, SAP and EMC.

Supported operating systems: Independent of operating system

Link: https://www.cloudfoundry.org/

10. CloudStack

CloudStack is an open source cloud computing platform with high availability and scalability, as well as an open source cloud computing solution. It can accelerate the deployment, management, and configuration of highly scalable public and private clouds (IaaS). Using CloudStack as the foundation, data center operators can quickly and easily create cloud services through the existing infrastructure.

Supported operating systems: Independent of operating system

Link: https://www.cloudfoundry.org/

11. OpenStack

OpenStack is an open source cloud computing management platform project, a combination of a series of software open source projects. It is an authorized open source code project developed and initiated by NASA (National Aeronautics and Space Administration) and Rackspace. OpenStack provides scalable and elastic cloud computing services for private clouds and public clouds. The project goal is to provide a cloud computing management platform that is simple to implement, scalable, rich, and standardized. This very popular cloud computing platform claims that "hundreds of big brands in the world" rely on it every day.

Supported operating systems: Independent of operating system

Link: https://www.openstack.org/

Cloud Storage: Gluster, FreeNAS, Lustre, Ceph

12. Gluster

GlusterFS is a highly scalable and scalable distributed file system suitable for data-intensive tasks such as cloud storage and media streaming. All standard POSIX interfaces are implemented, and fuse is used to realize virtualization, making users look like local disks. Able to handle thousands of clients.

Supported operating system: Windows and Linux

Link: https://www.gluster.org/

13. FreeNAS

FreeNAS is a set of free and open source NAS servers, which can turn an ordinary PC into a network storage server. The software is based on FreeBSD, Samba and PHP, supports CIFS (samba), FTP, NFS protocols, Software RAID (0,1,5) and web interface setting tools. Users can access the storage server through Windows, Macs, FTP, SSH, and Network File System (NFS). FreeNAS can be installed on the hard disk or removable media USB Flash Disk. The FreeNAS server has a promising future. It is an excellent choice for building a simple network storage server

Supported operating systems: Independent of operating system

Link: http://www.freenas.org/

14. Lustre

Lustre is an open source, distributed parallel file system software platform, which has the characteristics of high scalability, high performance, and high availability. The construction goal of Lustre is to provide a globally consistent POSIX-compliant namespace for large-scale computing systems, which include the most powerful high-performance computing systems in the world. It supports hundreds of PB of data storage space, and supports hundreds of GB/s or even several TB/s of concurrent aggregate bandwidth. Some of the first users to adopt it include several major national laboratories in the United States: Lawrence Livermore National Laboratory, Sandia National Laboratory, Oak Ridge National Laboratory, and Los Alamos National Laboratory.

Supported operating system: Linux

Link: http://lustre.org/

15. Ceph

Ceph is a distributed file system designed for excellent performance, reliability and scalability. It is the earliest project dedicated to the development of the next generation of high-performance distributed file systems. With the development of cloud computing, Ceph took advantage of the spring breeze of OpenStack, and then became one of the most concerned projects in the open source community.

Supported operating system: Linux

Link: https://ceph.com/

Operating System: CentOS, Ubuntu

16. CentOS

CentOS (Community Enterprise Operating System) is one of the Linux distributions, which is compiled from the source code released by Red Hat Enterprise Linux in accordance with the open source regulations. Since it comes from the same source code, some servers that require high stability use CentOS instead of the commercial version of Red Hat Enterprise Linux. The difference between the two is that CentOS is completely open source.

Link: http://www.centos.org/

17. Ubuntu

Ubuntu is also open source and has a huge community power. Users can easily get help from the community and provide a popular Linux distribution. There are multiple versions: desktop version, server version, cloud version, mobile version, tablet version And the Internet of Things version. The claimed users include Amazon, IBM, Wikipedia and Nvidia.

Link: http://www.ubuntu.com/

Database: MySQL, PostgreSQL, MongoDB, Cassandra, CouchDB, Neo4j

18. MySQL

MySQL is a relational database written in C/C++. It claims to be "the most popular open source database in the world". It is favored by many Internet companies. In addition to the free community version, it also has a variety of paid versions. Although it is free and open source, its performance is sufficiently guaranteed. Many domestic IT companies are using MySQL.

Supported operating system: Windows, Linux, Unix and OS X

Link: https://www.mysql.com/

19. PostgreSQL

PostgreSQL is a very powerful client/server relational database management system with open source code. The well-known Huawei Gauss database and Tencent's TBase database are both developed on the basis of this database. All the codes of the best Alibaba OceanBase database in China are independently developed. Although it is not developed on the basis of PostgreSQL, it should also draw on many features and advantages of PostgreSQL.

Supported operating system: Windows, Linux, Unix and OS X

Link: https://www.postgresql.org/

20. MongoDB

MongoDB is a NoSQL database, a database based on distributed file storage. Written by C++ language. Designed to provide scalable high-performance data storage solutions for applications. MongoDB is a product between relational and non-relational databases. Among non-relational databases, MongoDB is the most versatile and most similar to relational databases. Users include Foursquare, Forbes, Pebble, Adobe, LinkedIn, eHarmony and other companies. Provide paid professional version and enterprise version.

Supported operating system: Windows, Linux, OS X and Solaris

Link: https://www.mongodb.org/

21. Cassandra

This NoSQL database was developed by Facebook, and its users include Apple, CERN, Comcast, Electronic Harbor, GitHub, GoDaddy, Hulu, Instagram, Intuit, Netflix, Reddit and other technology companies. It supports extremely large data sets and claims to have very high performance and outstanding durability and flexibility. Support can be obtained through a third party.

Supported operating systems: Independent of operating system

Link: https://cassandra.apache.org/

22. CouchDB

CouchDB is a document-oriented database system developed in Erlang. This NoSQL database stores data in JSON documents. Such documents can be queried through HTTP and processed with JavaScript. CouchDB is now owned by IBM, and it provides a software version supported by professionals. Users include: Samsung, Akamai, Expedia, Microsoft Game Studios and other companies.

Supported operating systems: Windows, Linux, OS X and Android

Link: https://couchdb.apache.org/

23. Neo4j

Neo4J is a high-performance NOSQL graph database that stores structured data on the network instead of in tables. It claims to be "the world's leading graph database" for fraud detection, recommendation engines, social networking sites, master data management, and More areas. Users include eBay, Walmart, Cisco, Hewlett-Packard, Accenture, CrunchBase, eHarmony, Care.com and many other enterprise organizations.

Supported operating system: Windows and Linux

Link: https://neo4j.com/

Developing Tools and Components

24. Bugzilla

Bugzilla is the darling of the open source community, users include Mozilla, Linux Foundation, GNOME, KDE, Apache, LibreOffice, Open Office, Eclipse, Red Hat, Novell and other companies. Important features of this software bugtracker include: advanced search functions, email notifications, scheduled reports, time tracking, excellent security and more features.

Supported operating system: Windows, Linux and OS X

Link: https://www.bugzilla.org/

25. Eclipse

The most well-known of the Eclipse project is that it is a popular integrated development environment (IDE) for Java. It also provides IDEs for C/C++ and PHP, as well as a large number of development tools. The main supporters include Guanqun Technology, Google, IBM, Oracle, Red Hat and SAP.

Supported operating systems: Independent of operating system

Link: https://www.eclipse.org/

26. Ember.js

Ember.js is an open source JavaScript client-side framework for developing Web applications and using the MVC architecture pattern. This framework is used to "build ambitious Web applications" and aims to improve work efficiency for JavaScript developers. The official website shows that users include Yahoo, Square, Livingsocial, Groupon, Twitch, TED, Netflix, Heroku and Microsoft.

Supported operating systems: Independent of operating system

Link: https://emberjs.com/

27. Node.js

Node is a development platform that allows JavaScript to run on the server. It makes JavaScript a scripting language on par with server-side languages such as PHP, Python, Perl, and Ruby. It allows developers to use JavaScript to write server-side applications. The development work was previously controlled by Jwoyent and is now overseen by the Node.js Foundation. Users include IBM, Microsoft, Yahoo, SAP, LinkedIn, PayPal and Netflix.

Supported operating system: Windows, Linux and OS X

Link: https://nodejs.org/

28. React Native

React Native was developed by Facebook. This framework can be used to build native mobile applications using JavaScript and React JavaScript libraries (also developed by Facebook). Other users include: "Discovery" channel and CBS Sports News Network.

Supported operating system: OS X

Link: https://facebook.github.io/react-native/

29. Ruby on Rails

Ruby on Rails is a framework that makes it easy for you to develop, deploy, and maintain web applications. This web development framework is extremely popular among developers, and it claims to be "optimized to ensure programmers' satisfaction and continuous and efficient work." Users include companies such as Basecamp, Twitter, Shopify, and GitHub.

Supported operating system: Windows, Linux and OS X

Link: https://rubyonrails.org/

Middleware

30. JBoss

JBoss is an open source application server based on J2EE. JBoss code follows the LGPL license and can be used for free in any commercial application. JBoss is a container and server that manages EJB. It supports EJB 1.1, EJB 2.0 and EJB3 specifications, but JBoss core services do not include WEB containers that support servlet/JSP, and are generally used in conjunction with Tomcat or Jetty. JBoss middleware includes a variety of lightweight, cloud-friendly tools that combine, integrate, and automate various enterprise applications and systems at the same time. Users include: Oak Ridge National Laboratory, Nissan, Cisco, Crown Group, AMD and other companies.

Supported operating system: Linux

Link: https://www.jboss.org/

#community service #open source

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computingpostcom · 3 years ago

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All applications generate information when running, this information is stored as logs. As a system administrator, you need to monitor these logs to ensure the proper functioning of the system and therefore prevent risks and errors. These logs are normally scattered over servers and management becomes harder as the data volume increases. Graylog is a free and open-source log management tool that can be used to capture, centralize and view real-time logs from several devices across a network. It can be used to analyze both structured and unstructured logs. The Graylog setup consists of MongoDB, Elasticsearch, and the Graylog server. The server receives data from the clients installed on several servers and displays it on the web interface. Below is a diagram illustrating the Graylog architecture Graylog offers the following features: Log Collection – Graylog’s modern log-focused architecture can accept nearly any type of structured data, including log messages and network traffic from; syslog (TCP, UDP, AMQP, Kafka), AWS (AWS Logs, FlowLogs, CloudTrail), JSON Path from HTTP API, Beats/Logstash, Plain/Raw Text (TCP, UDP, AMQP, Kafka) e.t.c Log analysis – Graylog really shines when exploring data to understand what is happening in your environment. It uses; enhanced search, search workflow and dashboards. Extracting data – whenever log management system is in operations, there will be summary data that needs to be passed to somewhere else in your Operations Center. Graylog offers several options that include; scheduled reports, correlation engine, REST API and data fowarder. Enhanced security and performance – Graylog often contains sensitive, regulated data so it is critical that the system itself is secure, accessible, and speedy. This is achieved using role-based access control, archiving, fault tolerance e.t.c Extendable – with the phenomenal Open Source Community, extensions are built and made available in the market to improve the funmctionality of Graylog This guide will walk you through how to run the Graylog Server in Docker Containers. This method is preferred since you can run and configure Graylog with all the dependencies, Elasticsearch and MongoDB already bundled. Setup Prerequisites. Before we begin, you need to update the system and install the required packages. ## On Debian/Ubuntu sudo apt update && sudo apt upgrade sudo apt install curl vim git ## On RHEL/CentOS/RockyLinux 8 sudo yum -y update sudo yum -y install curl vim git ## On Fedora sudo dnf update sudo dnf -y install curl vim git 1. Install Docker and Docker-Compose on Linux Of course, you need the docker engine to run the docker containers. To install the docker engine, use the dedicated guide below: How To Install Docker CE on Linux Systems Once installed, check the installed version. $ docker -v Docker version 20.10.13, build a224086 You also need to add your system user to the docker group. This will allow you to run docker commands without using sudo sudo usermod -aG docker $USER newgrp docker With docker installed, proceed and install docker-compose using the guide below: How To Install Docker Compose on Linux Verify the installation. $ docker-compose version Docker Compose version v2.3.3 Now start and enable docker to run automatically on system boot. sudo systemctl start docker && sudo systemctl enable docker 2. Provision the Graylog Container The Graylog container will consist of the Graylog server, Elasticsearch, and MongoDB. To be able to achieve this, we will capture the information and settings in a YAML file. Create the YAML file as below: vim docker-compose.yml In the file, add the below lines: version: '2' services: # MongoDB: https://hub.docker.com/_/mongo/ mongodb: image: mongo:4.2 networks: - graylog #DB in share for persistence volumes: - /mongo_data:/data/db # Elasticsearch: https://www.elastic.co/guide/en/elasticsearch/reference/7.10/docker.html

elasticsearch: image: docker.elastic.co/elasticsearch/elasticsearch-oss:7.10.2 #data folder in share for persistence volumes: - /es_data:/usr/share/elasticsearch/data environment: - http.host=0.0.0.0 - transport.host=localhost - network.host=0.0.0.0 - "ES_JAVA_OPTS=-Xms512m -Xmx512m" ulimits: memlock: soft: -1 hard: -1 mem_limit: 1g networks: - graylog # Graylog: https://hub.docker.com/r/graylog/graylog/ graylog: image: graylog/graylog:4.2 #journal and config directories in local NFS share for persistence volumes: - /graylog_journal:/usr/share/graylog/data/journal environment: # CHANGE ME (must be at least 16 characters)! - GRAYLOG_PASSWORD_SECRET=somepasswordpepper # Password: admin - GRAYLOG_ROOT_PASSWORD_SHA2=e1b24204830484d635d744e849441b793a6f7e1032ea1eef40747d95d30da592 - GRAYLOG_HTTP_EXTERNAL_URI=http://192.168.205.4:9000/ entrypoint: /usr/bin/tini -- wait-for-it elasticsearch:9200 -- /docker-entrypoint.sh networks: - graylog links: - mongodb:mongo - elasticsearch restart: always depends_on: - mongodb - elasticsearch ports: # Graylog web interface and REST API - 9000:9000 # Syslog TCP - 1514:1514 # Syslog UDP - 1514:1514/udp # GELF TCP - 12201:12201 # GELF UDP - 12201:12201/udp # Volumes for persisting data, see https://docs.docker.com/engine/admin/volumes/volumes/ volumes: mongo_data: driver: local es_data: driver: local graylog_journal: driver: local networks: graylog: driver: bridge In the file, replace: GRAYLOG_PASSWORD_SECRET with your own password which must be at least 16 characters GRAYLOG_ROOT_PASSWORD_SHA2 with a SHA2 password obtained using the command: echo -n "Enter Password: " && head -1 1514/tcp, :::1514->1514/tcp, 0.0.0.0:9000->9000/tcp, 0.0.0.0:1514->1514/udp, :::9000->9000/tcp, :::1514->1514/udp, 0.0.0.0:12201->12201/tcp, 0.0.0.0:12201->12201/udp, :::12201->12201/tcp, :::12201->12201/udp thor-graylog-1 1a21d2de4439 docker.elastic.co/elasticsearch/elasticsearch-oss:7.10.2 "/tini -- /usr/local…" 31 seconds ago Up 28 seconds 9200/tcp, 9300/tcp thor-elasticsearch-1 1b187f47d77e mongo:4.2 "docker-entrypoint.s…" 31 seconds ago Up 28 seconds 27017/tcp thor-mongodb-1 If you have a firewall enabled, allow the Graylog service port through it. ##For Firewalld sudo firewall-cmd --zone=public --add-port=9000/tcp --permanent sudo firewall-cmd --reload ##For UFW sudo ufw allow 9000/tcp 5. Access the Graylog Web UI Now open the Graylog web interface using the URL http://IP_address:9000. Log in using the username admin and SHA2 password(StrongPassw0rd) set in the YAML. On the dashboard, let’s create the first input to get logs by navigating to the systems tab and selecting input. Now search for Raw/Plaintext TCP and click launch new input Once launched, a pop-up window will appear as below. You only need to change the name for the input, port(1514), and select the node, or “Global” for the location for the input. Leave the other details as they are. Save the file and try sending a plain text message to the Graylog Raw/Plaintext TCP input on port 1514. echo 'First log message' | nc localhost 1514 ##OR from another server##

echo 'First log message' | nc 192.168.205.4 1514 On the running Raw/Plaintext Input, show received messages The received message should be displayed as below. You can as well export this to a dashboard as below. Create the dashboard by providing the required information. You will have the dashboard appear under the dashboards tab. Conclusion That is it! We have triumphantly walked through how to run the Graylog Server in Docker Containers. Now you can monitor and access logs on several servers with ease. I hope this was significant to you.

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joblistan · 4 years ago

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UTILITY STORES CORPORATION OF PAKISTAN (PRIVATE) LIMITED

HEAD OFFICE, ISLAMABAD

CAREER OPPORTUNITY

Utility Stores Corporation is looking for individuals for following positions who are innovative, productive and

enthusiastic with ability to deliver results: -

ProvinciaV

S.No Name of Post

Requisite Qualification

Regional Quota

and Experience

University Degree in Computer Science, Business

Administration or related field equals to 16 years of education

with minimum 10 years practical experience preferably in

Digital Transformation Project Management/Data Science/Big

Data/IT Systems and Architecture in an Industrial /

Project Manager

Merit: 01

Commercial/ FMCG organization.PMP, Agile, and/or other

1 (Market Based Salary)

Project Management-related certification(s).Must have

(01 Post)

experience of managing implementation projects in any Retail

Chain organization. Experience in developing detailed project

schedules and building effective Work Breakdown Structures

(WBS).Proficiency with MS Project, Excel, Visio, PowerPoint

and SharePoint with experience presenting to stakeholders and /

or Senior Leadership.

University Degree in Computer Science or related field equals

to 16 years of education. 7 years of experience with utilizing,

configuring, and installing software for connecting distributed

software and services across heterogeneous platforms.

Experience in securing production workloads in public/private

clouds, Private Cloud Deployment using Open Source

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software, Open Stack software bundle and with Linux operating

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University Degree in Computer Science or related field equals

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: : 01

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Contact No. 051-9245039

PID(1) 6155/20

#Jobs #admission #scholarships

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tastethelinux · 4 years ago

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How to Install Docker on Linux Mint 20.

Hi hope you are doing well, lets learn about “How to Setup and Install Docker on Linux Mint 20”, the Docker is the fastest growing technology in the IT market. Docker is the container technology. Many industries are moving towards docker from the normal EC2 instances. It is PAAS (Platform as a Service), which uses a OS virtualisation to deliver software in packages called containers. The…

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udemytutorialfreedownload · 5 years ago

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Docker Mastery: with Kubernetes +Swarm from a Docker Captain

Build, test, deploy containers with the best mega-course on Docker, Kubernetes, Compose, Swarm and Registry using DevOps

What you'll learn Docker Mastery: with Kubernetes +Swarm from a Docker Captain

How to use Docker, Compose and Kubernetes on your machine for better software building and testing.

Learn Docker and Kubernetes official tools from an award-winning Docker Captain!

Learn faster with included live chat group (21,000 members!) and weekly live Q&A.

Gain the skills to build development environments with your code running in containers.

Build Swam and Kubernetes clusters for server deployments!

Hands-on with best practices for making Dockerfiles and Compose files like a Pro!

Build and publish your own custom images.

Create your own custom image registry to store your apps and deploy them in corporate environments.

READ ALSO: 1. MongoDB - The Complete Developer's Guide 2020 2. Spring Framework 5: Beginner to Guru 3. Learn How To Code: Google's Go (golang) Programming Language 4. The Complete Oracle SQL Certification Course

Requirements

No paid software required - Just install your favorite text editor and browser!

Local admin access to install Docker for Mac/Windows/Linux.

Understand the terminal or command prompt basics.

Linux basics like shells, SSH, and package managers. (tips included to help newcomers!)

Know the basics of creating a server in the cloud (on any provider). (tips included to help newcomers!)

Understand the basics of web and database servers. (how they typically communicate, IP's, ports, etc.)

Have a GitHub and Docker Hub account.

Description

Updated Monthly in 2019! Be ready for the Dockerized future with the number ONE Docker + Kubernetes mega-course on Udemy. Welcome to the most complete and up-to-date course for learning and using containers end-to-end, from development and testing to server deployments and production. Taught by an award-winning Docker Captain and DevOps consultant.

Just starting out with Docker? Perfect. This course starts out assuming you're new to containers.

Or: Using Docker now and need to deal with real-world problems? I'm here for you! See my production topics around Swarm, Kubernetes, secrets, logging, rolling upgrades, and more.

BONUS: This course comes with Slack Chat and Live Weekly Q&A with me!

"I've followed another course on (Udemy). This one is a million times more in-depth." "...when it comes to all the docker stuff, this is the course you're gonna want to take" - 2019 Student Udemy Review

Just updated in November 2019 with sections on:

Docker Security top 10

Docker 19.03 release features

Why should you learn from me? Why trust me to teach you the best ways to use Docker? (Hi, I'm Bret, please allow me to talk about myself for a sec):

I'm A Practitioner. Welcome to the real world: I've got 20 years of sysadmin and developer experience, over 30 certifications, and have been using Docker and the container ecosystem for my consulting clients and my own companies since Docker's early days. Learn from someone who's run hundreds of containers across dozens of projects and organizations.

I'm An Educator. Learn from someone who knows how to make a syllabus: I want to help you. People say I'm good at it. For the last few years, I've trained thousands of people on using Docker in workshops, conferences, and meetups. See me teach at events like DockerCon, O'Reilly Velocity, GOTO Conf, and Linux Open Source Summit. I hope you'll decide to learn with me and join the fantastic online Docker community.

I Lead Communities. Also, I'm a Docker Captain, meaning that Docker Inc. thinks I know a thing or two about Docker and that I do well in sharing it with others. In the real-world: I help run two local meetups in our fabulous tech community in Norfolk/Virginia Beach USA. I help online: usually in Slack and Twitter, where I learn from and help others.

"Because of the Docker Mastery course, I landed my first DevOps job. Thank you, Captain!" - Student Ronald Alonzo

"There are a lot of Docker courses on Udemy -- but ignore those, Bret is the single most qualified person to teach you." - Kevin Griffin, Microsoft MVP

Giving Back: a portion of my profit on this course will be donated to supporting open source and protecting our freedoms online! This course is only made possible by the amazing people creating the open-source. I'm standing on the shoulders of (open source) giants! Donations will be split between my favorite charities including the Electronic Frontier Foundation and Free Software Foundation. Look them up. They're awesome!

This is a living course and will be updated as Docker and Kubernetes feature change.

This course is designed to be fast at getting you started but also get you deep into the "why" of things. Simply the fastest and best way to learn the latest container skills. Look at the scope of topics in the Session and see the breadth of skills you will learn.

Also included is a private Slack Chat group with 20k students for getting help with this course and continuing your Docker and DevOps learning with help from myself and other students.

"Bret's course is a level above all of those resources, and if you're struggling to get a handle on Docker, this is the resource you need to invest in." - Austin Tindle, Course Student

Some of the many cool things you'll do in this course:

Edit web code on your machine while it's served up in a container

Lockdown your apps in private networks that only expose necessary ports

Create a 3-node Swarm cluster in the cloud

Install Kubernetes and learn the leading server cluster tools

Use Virtual IP's for built-in load balancing in your cluster

Optimize your Dockerfiles for faster building and tiny deploys

Build/Publish your own custom application images

Learn the differences between Kubernetes and Swarm

Create your own image registry

Use Swarm Secrets to encrypt your environment configs, even on disk

Deploy container updates in a rolling always-up design

Create the config utopia of a single set of YAML files for local dev, CI testing, and prod cluster deploys

And so much more...

After taking this course, you'll be able to:

Use Docker in your daily developer and/or sysadmin roles

Deploy apps to Kubernetes

Make Dockerfiles and Compose files

Build multi-node Swarm clusters and deploying H/A containers

Make Kubernetes YAML manifests and deploy using infrastructure-as-code methods

Build a workflow of using Docker in dev, then test/CI, then production with YAML

Protect your keys, TLS certificates, and passwords with encrypted secrets

Keep your Dockerfiles and images small, efficient, and fast

Run apps in Docker, Swarm, and Kubernetes and understand the pros/cons of each

Develop locally while your code runs in a container

Protect important persistent data in volumes and bind mounts

Lead your team into the future with the latest Docker container skills!

Extra things that come with this course:

Access to the course Slack team, for getting help/advice from me and other students.

Bonus videos I put elsewhere like YouTube, linked to these courses resources.

Weekly Live Q&A on YouTube Live.

Tons of reference links to supplement this content.

Updates to content as Docker changes its features on these topics.

Who this course is for:

Software developers, sysadmins, IT pros, and operators at any skill level.

Anyone who makes deploys or operates software on servers.

Docker Mastery: with Kubernetes +Swarm from a Docker Captain

Created by Bret Fisher, Docker Captain Program

Last updated 3/2020

English

English, French [Auto-generated]

Size: 11.24 GB

DOWNLOAD COURSE

Content From: https://ift.tt/2CCIwDx

#News Updates #Docker Mastery: with Kubernetes +Swarm from a Docker Captain

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computingpostcom · 3 years ago

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Application Performance Monitoring (APM) can be defined as the process of discovering, tracing, and performing diagnoses on cloud software applications in production. These tools enable better analysis of network topologies with improved metrics and user experiences. Pinpoint is an open-source Application Performance Management(APM) with trusted millions of users around the world. Pinpoint, inspired by Google Dapper is written in Java, PHP, and Python programming languages. This project was started in July 2012 and later released to the public in January 2015. Since then, it has served as the best solution to analyze the structure as well as the interconnection between components across distributed applications. Features of Pinpoint APM Offers Cloud and server Monitoring. Distributed transaction tracing to trace messages across distributed applications Overview of the application topology – traces transactions between all components to identify potentially problematic issues. Lightweight – has a minimal performance impact on the system. Provides code-level visibility to easily identify points of failure and bottlenecks Software as a Service. Offers the ability to add a new functionality without code modifications by using the bytecode instrumentation technique Automatically detection of the application topology that helps understand the configurations of an application Real-time monitoring – observe active threads in real-time. Horizontal scalability to support large-scale server group Transaction code-level visibility – response patterns and request counts. This guide aims to help you deploy Pinpoint APM (Application Performance Management) in Docker Containers. Pinpoint APM Supported Modules Below is a list of modules supported by Pinpoint APM (Application Performance Management): ActiveMQ, RabbitMQ, Kafka, RocketMQ Arcus, Memcached, Redis(Jedis, Lettuce), CASSANDRA, MongoDB, Hbase, Elasticsearch MySQL, Oracle, MSSQL(jtds), CUBRID, POSTGRESQL, MARIA Apache HTTP Client 3.x/4.x, JDK HttpConnector, GoogleHttpClient, OkHttpClient, NingAsyncHttpClient, Akka-http, Apache CXF JDK 7 and above Apache Tomcat 6/7/8/9, Jetty 8/9, JBoss EAP 6/7, Resin 4, Websphere 6/7/8, Vertx 3.3/3.4/3.5, Weblogic 10/11g/12c, Undertow Spring, Spring Boot (Embedded Tomcat, Jetty, Undertow), Spring asynchronous communication Thrift Client, Thrift Service, DUBBO PROVIDER, DUBBO CONSUMER, GRPC iBATIS, MyBatis log4j, Logback, log4j2 DBCP, DBCP2, HIKARICP, DRUID gson, Jackson, Json Lib, Fastjson Deploy Pinpoint APM (Application Performance Management) in Docker Containers Deploying the PInpoint APM docker container can be achieved using the below steps: Step 1 – Install Docker and Docker-Compose on Linux. Pinpoint APM requires a Docker version 18.02.0 and above. The latest available version of Docker can be installed with the aid of the guide below: How To Install Docker CE on Linux Systems Once installed, ensure that the service is started and enabled as below. sudo systemctl start docker && sudo systemctl enable docker Check the status of the service. $ systemctl status docker ● docker.service - Docker Application Container Engine Loaded: loaded (/usr/lib/systemd/system/docker.service; enabled; vendor preset: disabled) Active: active (running) since Wed 2022-01-19 02:51:04 EST; 1min 4s ago Docs: https://docs.docker.com Main PID: 34147 (dockerd) Tasks: 8 Memory: 31.3M CGroup: /system.slice/docker.service └─34147 /usr/bin/dockerd -H fd:// --containerd=/run/containerd/containerd.sock Verify the installed Docker version. $ docker version Client: Docker Engine - Community Version: 20.10.12 API version: 1.41 Go version: go1.16.12 Git commit: e91ed57 Built: Mon Dec 13 11:45:22 2021 OS/Arch: linux/amd64 Context: default Experimental: true

..... Now proceed and install Docker-compose using the dedicated guide below: How To Install Docker Compose on Linux Add your system user to the Docker group to be able to run docker commands without sudo sudo usermod -aG docker $USER newgrp docker Step 2 – Deploy the Pinpoint APM (Application Performance Management) The Pinpoint docker container can be deployed by pulling the official docker image as below. Ensure that git is installed on your system before you proceed. git clone https://github.com/naver/pinpoint-docker.git Once the image has been pulled, navigate into the directory. cd pinpoint-docker Now we will run the Pinpoint container that will have the following containers joined to the same network: The Pinpoint-Web Server Pinpoint-Agent Pinpoint-Collector Pinpoint-QuickStart(a sample application, 1.8.1+) Pinpoint-Mysql(to support certain feature) This may take several minutes to download all necessary images. Pinpoint-Flink(to support certain feature) Pinpoint-Hbase Pinpoint-Zookeeper All these components and their configurations are defined in the docker-compose YAML file that can be viewed below. cat docker-compose.yml Now start the container as below. docker-compose pull docker-compose up -d Sample output: ....... [+] Running 14/14 ⠿ Network pinpoint-docker_pinpoint Created 0.3s ⠿ Volume "pinpoint-docker_mysql_data" Created 0.0s ⠿ Volume "pinpoint-docker_data-volume" Created 0.0s ⠿ Container pinpoint-docker-zoo3-1 Started 3.7s ⠿ Container pinpoint-docker-zoo1-1 Started 3.0s ⠿ Container pinpoint-docker-zoo2-1 Started 3.4s ⠿ Container pinpoint-mysql Sta... 3.8s ⠿ Container pinpoint-flink-jobmanager Started 3.4s ⠿ Container pinpoint-hbase Sta... 4.0s ⠿ Container pinpoint-flink-taskmanager Started 5.4s ⠿ Container pinpoint-collector Started 6.5s ⠿ Container pinpoint-web Start... 5.6s ⠿ Container pinpoint-agent Sta... 7.9s ⠿ Container pinpoint-quickstart Started 9.1s Once the process is complete, check the status of the containers. $ docker ps CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES cb17fe18e96d pinpointdocker/pinpoint-quickstart "catalina.sh run" 54 seconds ago Up 44 seconds 0.0.0.0:8000->8080/tcp, :::8000->8080/tcp pinpoint-quickstart 732e5d6c2e9b pinpointdocker/pinpoint-agent:2.3.3 "/usr/local/bin/conf…" 54 seconds ago Up 46 seconds pinpoint-agent 4ece1d8294f9 pinpointdocker/pinpoint-web:2.3.3 "sh /pinpoint/script…" 55 seconds ago Up 48 seconds 0.0.0.0:8079->8079/tcp, :::8079->8079/tcp, 0.0.0.0:9997->9997/tcp, :::9997->9997/tcp pinpoint-web 79f3bd0e9638 pinpointdocker/pinpoint-collector:2.3.3 "sh /pinpoint/script…" 55 seconds ago Up 47 seconds 0.0.0.0:9991-9996->9991-9996/tcp, :::9991-9996->9991-9996/tcp, 0.0.0.0:9995-9996->9995-9996/udp,

:::9995-9996->9995-9996/udp pinpoint-collector 4c4b5954a92f pinpointdocker/pinpoint-flink:2.3.3 "/docker-bin/docker-…" 55 seconds ago Up 49 seconds 6123/tcp, 0.0.0.0:6121-6122->6121-6122/tcp, :::6121-6122->6121-6122/tcp, 0.0.0.0:19994->19994/tcp, :::19994->19994/tcp, 8081/tcp pinpoint-flink-taskmanager 86ca75331b14 pinpointdocker/pinpoint-flink:2.3.3 "/docker-bin/docker-…" 55 seconds ago Up 51 seconds 6123/tcp, 0.0.0.0:8081->8081/tcp, :::8081->8081/tcp pinpoint-flink-jobmanager e88a13155ce8 pinpointdocker/pinpoint-hbase:2.3.3 "/bin/sh -c '/usr/lo…" 55 seconds ago Up 50 seconds 0.0.0.0:16010->16010/tcp, :::16010->16010/tcp, 0.0.0.0:16030->16030/tcp, :::16030->16030/tcp, 0.0.0.0:60000->60000/tcp, :::60000->60000/tcp, 0.0.0.0:60020->60020/tcp, :::60020->60020/tcp pinpoint-hbase 4a2b7dc72e95 zookeeper:3.4 "/docker-entrypoint.…" 56 seconds ago Up 52 seconds 2888/tcp, 3888/tcp, 0.0.0.0:49154->2181/tcp, :::49154->2181/tcp pinpoint-docker-zoo2-1 3ae74b297e0f zookeeper:3.4 "/docker-entrypoint.…" 56 seconds ago Up 52 seconds 2888/tcp, 3888/tcp, 0.0.0.0:49155->2181/tcp, :::49155->2181/tcp pinpoint-docker-zoo3-1 06a09c0e7760 zookeeper:3.4 "/docker-entrypoint.…" 56 seconds ago Up 52 seconds 2888/tcp, 3888/tcp, 0.0.0.0:49153->2181/tcp, :::49153->2181/tcp pinpoint-docker-zoo1-1 91464a430c48 pinpointdocker/pinpoint-mysql:2.3.3 "docker-entrypoint.s…" 56 seconds ago Up 52 seconds 0.0.0.0:3306->3306/tcp, :::3306->3306/tcp, 33060/tcp pinpoint-mysql Access the Pinpoint APM (Application Performance Management) Web UI The Pinpoint Web run on the default port 8079 and can be accessed using the URL http://IP_address:8079. You will be granted the below page. Select the desired application to analyze. For this case, we will analyze our deployed Quickapp. Select the application and proceed. Here, click on inspector to view the detailed metrics. Here select the app-in-docker You can also make settings to Pinpoint such as setting user groups, alarms, themes e.t.c. Under administration, you can view agent statistics for your application Manage your applications under the agent management tab To set an alarm, you first need to have a user group created. you also need to create a pinpoint user and add them to the user group as below. With the user group, an alarm for your application can be created, a rule and notification methods to the group members added as shown. Now you will have your alarm configured as below. You can also switch to the dark theme which appears as below. View the Apache Flink Task manager page using the URL http://IP_address:8081. Voila! We have triumphantly deployed Pinpoint APM (Application Performance Management) in Docker Containers. Now you can discover, trace, and perform diagnoses on your applications.

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berkeleyjobsite · 5 years ago

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DevOps Engineer

DevOps Engineer – 89091 Organization: EB-Environ Genomics & Systems Bio Lawrence Berkeley National Laboratory s (LBNL, https://www.lbl.gov/ ) Environmental Genomics & Systems Biology Division ( https://ift.tt/2gqwKPK ) has an opening for a DevOps Engineer to join the Knowledgebase (KBase) team. Designed to meet the key challenges of systems biology (predicting and ultimately designing biological function), KBase integrates numerous biological datasets and analysis tools into a unified, extensible system that allows researchers to collaboratively generate and test hypotheses about biological functions. Under general instruction, you will work on the core development and production infrastructure of a multi-site scientific platform working on hardware and software installation, configuration and maintenance. The KBase software stack is complex and modern, using containerization and continuous integration and deployment. The position will help continue the automation of on-premise environment to maximize uptime, scalability and agility. This position will be hired at a level commensurate with the business needs; and skills, knowledge, and abilities of the successful candidate. What You Will Do:

Participate in the operation and continued development of the KBase platform. Documentation of issues, procedures, and practices. Support engineers and user support staff in diagnosing operational issues. Understand and effectively use existing configuration management and orchestration tools such as scripts and Rancher. Understand existing short shell and python scripts, and write short scripts for process automation and monitoring of services. Work with version control tools such as git for auditable configuration management.

Additional Responsibilities as needed:

Independently resolve minor service outages. Independently develop/improve tools for more complex automation involving CI/CD and container orchestration. Write effective scripts supporting automation and reporting. Work with engineers and support staff to diagnose operational issues and suggest improvements and mitigations to avoid recurrence.

What Is Required:

Bachelor s degree in Computer Science, Bioinformatics or related field and a minimum of 2 years professional experience in a DevOps role (DevOps Engineer, Systems Engineer, Site Reliability Engineer, Systems Administrator or similar) or equivalent work experience. Experience with Linux administration, including performance monitoring and troubleshooting, networking, storage hardware and software (LSI, LVM, NFS), security, service administration (systemctl, nginx), and DNS administration (BIND). Experience with virtualization and container technology such as Docker and associated tools (e.g. docker-compose) and KVM. Experience with container orchestration platforms such as Rancher, Kubernetes, Openshift. Experience with data stores (MongoDB, Ceph or other blob stores, S3 API, ElasticSearch, ArangoDB, MariaDB), including replication, redundancy, backups, and recovery Experience with scripting in Python, bash, or similar languages. Experience with monitoring tools such as Nagios or Check_MK. Experience with web services and protocols (REST, JSON-RPC). Experience with version control, such as Git, GitHub or GitLab. Ability to work collaboratively with people of diverse backgrounds. Excellent writing, interpersonal communication, and analytical skills.

Additional Desired Qualifications:

Master s degree in Computer Science or related field and minimum of 3 years related experience or equivalent work experience. Experience with Linux administration of Linux clusters using tools such as pdsh and configuration management tools such as Salt Stack, Ansible, Chef or Puppet Demonstrated ability to independently create new services and new application stacks using container orchestration platforms such as Rancher, Kubernetes, Openshift Demonstrated ability to upgrade/update and migrate data stores (MongoDB, Ceph or other blob stores, S3 API, ElasticSearch, ArangoDB, MariaDB) Demonstrated ability to independently write automation and monitoring scripts of at least 100 lines, and the ability to understand and update scripts of up to 300 lines Demonstrated experience using version control systems to manage configuration Experience working in an academic or research environment Experience with hardware support (replacing drives, hands-on maintenance/recovery) Experience with cloud computing (GCP, AWS) Experience with workflow or batch scheduling (Condor, Slurm) Experience with Continuous Integration/Continuous Deployment pipelines Experience with dynamic HTTP proxy software (Traefik) Knowledge of computational biology.

The posting shall remain open until the position is filled. Notes:

This is a full time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. Full-time, M-F, exempt (monthly paid) from overtime pay. Salary is commensurate with experience. This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment. Work will be primarily performed at West Berkeley Biocenter (Potter St.) Bldg. 977, 717 Potter St., Berkeley, CA.

How To Apply Apply directly online at https://ift.tt/2RRmSTs and follow the on-line instructions to complete the application process. Berkeley Lab (LBNL, https://www.lbl.gov/ ) addresses the world s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy s Office of Science. Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- Click Here ( https://hr.lbl.gov/ ). Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision ( https://ift.tt/2x1A8st ) under 41 CFR 60-1.4. Click here ( https://ift.tt/2khmEGu ) to view the poster and supplement: “Equal Employment Opportunity is the Law.” – provided by Dice

from Berkeley Job Site https://ift.tt/2tHZIH7 via IFTTT

#IFTTT #Berkeley Job Site

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