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How to Install MongoDB on Docker Container linux.
How to Install MongoDB on Docker Container linux.
Hi Guys! Hope you are doing well. Let’s Learn about “How to Install MongoDB on Docker Container Linux”. The Docker is an open source platform, where developers can package there application and run that application into the Docker Container. So It is PAAS (Platform as a Service), which uses a OS virtualisation to deliver software in packages called containers. The containers are the bundle of…

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#docker hub#install mongodb#install mongodb docker#install mongodb docker container#install mongodb docker image#install mongodb docker linux#install mongodb docker ubuntu#install mongodb on docker container#mongodb docker install#mongodb docker tutorial#run docker on mongodb container
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Spring Boot Microservices + MongoDB in Docker Containers | Step by step tutorial for Beginners
Full Video Link: https://youtu.be/qWzBUwKiCpM Hi, a new #video on step by step #tutorial for #springboot #microservices running in #docker #container with #mongodb also running in #docker #container is published on #codeonedigest #youtube channel. Easy
MongoDB is an open-source document database and leading NoSQL database. MongoDB is written in C++. This video will give you complete understanding of running the MongoDB in docker container. MongoDB works on concept of collection and document. MongoDB is a cross-platform, document-oriented database that provides, high performance, high availability, and easy scalability. Mongo Database –…
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#compass#container#docker#docker container#docker file#docker full course#docker image#docker tutorial#docker tutorial for beginners#microservices#microservices mongodb#mongo db#mongo dockerfile#mongodb#mongodb compass#mongodb configuration#mongodb configuration file#mongodb connection error#mongodb docker compose#mongodb docker install#mongodb docker setup#mongodb docker tutorial#mongodb docker volume#mongodb installation#Mongodb java#mongodb microservices example#mongodb tutorial#mongodb tutorial for beginners#monogodb tutorial#Spring boot
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Digital Marketing Courses in Chandigarh
It is no secret that trainers and the whole team behind running an academy are busy folks!
Digital Marketing Courses in Chandigarh- With a demanding schedule, it can be a chore to keep up to date with coaching modules and industry trends. However, writing great teaching blogs helps us to stay relevant. Sharing ideas and commenting on coaching blogs also helps to build a strong coaching community internationally.
Here I am talking about the Rohar Academy about its courses and training standards:
Digital Marketing courses in Chandigarh
Digital Marketing Courses in Chandigarh- Full Stack Development
Firstly, Digital Marketing courses in Chandigarh and Full Stack Web Developer program is to equip learners with the unique skills they need to build database-backed APIs and web applications. A certification holder of this program will be able to design and build databases for software applications. Also, they can create and deploy database-backed web APIs, and secure and manage user authentication and access control for an application backend. Students will also learn how to install a Flask-based web application to the cloud using Docker and Kubernetes.
Digital Marketing Courses in Chandigarh- Artificial Intelligence with Python
Secondly, AI is one of the fastest-growing and most transformational technologies of our time. You can learn the basics to advance quantitative analysis, including data processing, trading signal generation, and portfolio management. With the use of Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.
Data Science with Python
With this course, you can build expertise in data manipulation, visualization, predictive analytics, machine learning, and data science. In addition, the skills you learn in this program can allow you to launch or advance a successful data career. Start acquiring valuable skills right away, create a project portfolio to demonstrate your abilities, and get support from Rohar Academy mentors, peers, and experts in the field. Moreover, we offer you five unique programs to support your career goals in the data science field.
Digital Marketing
As in modern times, the consumer has made the revolutionizing shift to digital platforms. Nowadays, Digital Marketing is gaining strong terms across all parallels of the industry. Recently, the rise of Digital Marketing necessarily means that job opportunities in this niche are increasing at a fast pace. While the demand for skilled Digital Marketing professionals is extremely high now. However, the companies are facing the challenge of finding the right fit for their Digital Marketing job profiles.
Software Development
Another course we are talking about is Software Development. Hopefully, it is changing at a lightning speed. Similarly, there are new products, tools, languages, and apps released into the world every day. In the same way, Rohar Academy provides you a platform to learn carefully designed modules according to achieve the demands of Corporate standards.
Cyber Security
The Cyber Security Course will give you all the skills needed to become an expert in this fast-growing niche. In addition, you will learn extensive approaches to protecting your infrastructure, including securing data and information, running risk analysis and mitigation, designing cloud-based security, achieving compliance, and much more in this program.
Advanced Java
If you’re looking to get expertise in web application development for virtually any computing platform, this Java Certification Training course is for you. Although, this all-in-one Java training will give you a firm foundation in Java. Moreover, the most commonly used programming language in software development.
Big Data
This Big Data Certification program provides online training on the best big data courses to impart skills required for a successful career in data engineering. Also, you can Master the program of Big Data & Hadoop frameworks, leverage the functionality of AWS services, and use the database management tool MongoDB to store data.
Machine Learning with Python
This Machine Learning online course offers an in-depth overview of Machine Learning topics including working with real-time data, developing algorithms using supervised & unsupervised learning, regression, classification, and time series modelling. Learn how to use Python in this Machine Learning certification training to draw predictions from data.
For more information visit our website Rohar academy
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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,  , 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
Register a account at Figma
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
NEXT
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)
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How to Build and Deploy a Web App With Buddy
Moving code from development to production doesn't have to be as error-prone and time-consuming as it often is. By using Buddy, a continuous integration and delivery tool that doubles up as a powerful automation platform, you can automate significant portions of your development workflow, including all your builds, tests, and deployments.
Unlike many other CI/CD tools, Buddy has a pleasant and intuitive user interface with a gentle learning curve. It also offers a large number of well-tested actions that help you perform common tasks such as compiling sources and transferring files.
In this tutorial, I'll show you how you can use Buddy to build, test, and deploy a Node.js app.
Prerequisites
To be able to follow along, you must have the following installed on your development server:
Node.js 10.16.3 or higher
MongoDB 4.0.10 or higher
Git 2.7.4 or higher
1. Setting Up a Node.js App
Before you dive into Buddy, of course, you'll need a web app you can build and deploy. If you have one already, feel free to skip to the next step.
If you don't have a Node.js app you can experiment with, you can create one quickly using a starter template. Using the popular Hackathon starter template is a good idea because it has all the characteristics of a typical Node.js app.
Fork the template on GitHub and use git to download the fork to your development environment.
git clone https://github.com/hathi11/hackathon-starter.git
It's worth noting that Buddy is used with a Git repository. It supports repositories hosted on GitHub, BitBucket, and other such popular Git hosts. Buddy also has a built-in Git hosting solution or you can just as easily use Buddy with your own private Git servers.
Once the clone's complete, use npm to install all the dependencies of the web app.
cd hackathon-starter/ npm install
At this point, you can run the app locally and explore it using your browser.
node app.js
Here's what the web app looks like:
2. Creating a Buddy Project
If you don't have a Buddy account already, now is a good time to create one. Buddy offers two premium tiers and a free tier, all of which are cloud based. The free tier, which gives you 1 GB of RAM and 2 virtual CPUs, will suffice for now.
Once you're logged in to your Buddy account, press the Create new project button to get started.
When prompted to select a Git hosting provider, choose GitHub and give Buddy access to your GitHub repositories.
You should now be able to see all your GitHub repositories on Buddy. Click on the hackathon-starter repository to start creating automations for it.
Note that Buddy automatically recognizes our Node.js app as an Express application. It's because our starter template uses the Express web app framework.
3. Creating a Pipeline
On Buddy, a pipeline is what allows you to orchestrate and run all your tasks. Whenever you need to automate something with Buddy, you either create a new pipeline for it or add it to an existing pipeline.
Click on the Add a new pipeline button to start creating your first pipeline. In the form shown next, give a name to the pipeline and choose On push as the trigger mode. As you may have guessed, choosing this mode means that the pipeline is executed as soon as you push your commits to GitHub.
The next step is to add actions to your pipeline. To help you get started, Buddy intelligently generates a list of actions that are most relevant to your project.
For now, choose the Node.js action, which loads a Docker container that has Node.js installed on it. We'll be using this action to build our web app and run all its tests. So, on the next screen, go ahead and type in the following commands:
npm install npm test
4. Attaching a Service
Our web app uses MongoDB as its database. If it fails to establish a connection to a MongoDB server on startup, it will exit with an error. Therefore, our Docker container on Buddy must have access to a MongoDB server.
Buddy allows you to easily attach a wide variety of databases and other services to its Docker containers. To attach a MongoDB server, switch to the Services tab and select MongoDB. In the form shown next, you'll be able to specify details such as the hostname, port, and MongoDB version you prefer.
Make a note of the details you enter and press the Save this action button.
Next, you must configure the web app to use the URI of Buddy's MongoDB server. To do so, you can either change the value of the MONGODB_URI field in the .env.example file, or you can use an environment variable on Buddy. For now, let's go ahead with the latter option.
So switch to the Variables tab and press the Add a new variable button. In the dialog that pops up, set the Key field to MONGODB_URI and the Value field to a valid MongoDB connection string that's based on the hostname you chose earlier. Then press the Create variable button.
The official documentation has a lot more information about using environment variables in a Buddy pipeline.
5. Running the Pipeline
Our pipeline is already runnable, even though it has only one action. To run it, press the Run pipeline button.
You will now be taken to a screen where you can monitor the progress of the pipeline in real time. Furthermore, you can press any of the Logs buttons (there's one for each action in the pipeline) to take a closer look at the actual output of the commands that are being executed.
You can, of course, also run the pipeline by pushing a commit to your GitHub repository. I suggest you make a few changes to the web app, such as changing its header by modifying the views/partials/header.pug file, and then run the following commands:
git add . git commit -m "changed the header" git push origin master
When the last command has finished, you should be able to see a new execution of the pipeline start automatically.
6. Moving Files
When a build is successful and all the tests have passed, you'd usually want to move your code to production. Buddy has predefined actions that help you securely transfer files to several popular hosting solutions, such as the Google Cloud Platform, DigitalOcean, and Amazon Web Services. Furthermore, if you prefer using your own private server that runs SFTP or FTP, Buddy can directly use those protocols too.
In this tutorial, we'll be using a Google Compute Engine instance, which is nothing but a virtual machine hosted on Google's cloud, as our production server. So switch to the Actions tab of the pipeline and press the + button shown below the Build and test action to add a new action.
On the next screen, scroll down to the Google Cloud Platform section and select the Compute Engine option.
In the form that pops up, you must specify the IP address of your VM. Additionally, to allow Buddy to connect to the VM, you must provide a username and choose an authentication mode.
The easiest authentication mode in my opinion is Buddy's SSH key. When you choose this mode, Buddy will display an RSA public key that you can simply add to your VM's list of authorized keys.
To make sure that the credentials you entered are valid, you can now press the Test action button. If there are no errors, you should see a test log that looks like this:
Next, choose GitHub repository as the source of the files and use the Remote path field to specify the destination directory on the Google Cloud VM. The Browse button lets you browse through the filesystem of the VM and select the right directory.
Finally, press the Add this action button.
7. Using SSH
Once you've copied the code to your production server, you must again build and install all its dependencies there. You must also restart the web app for the code changes to take effect. To perform such varied tasks, you'll need a shell. The SSH action gives you one, so add it as the last action of your pipeline.
In the form that pops up, you must again specify your VM's IP address and login credentials. Then, you can type in the commands you want to run. Here's a quick way to install the dependencies and restart the Node.js server:
pkill -HUP node #stop node server cd my_project npm install #install dependencies export MONGODB_URI= nohup node app.js > /dev/null 2>&1 & #start node server
As shown in the Bash code above, you must reset the MONGODB_URI environment variable. This is to make sure that your production server connects to its own MongoDB instance, instead of Buddy's MongoDB service.
Press the Add this action button again to update the pipeline.
At this point, the pipeline has three actions that run sequentially. It should look like this:
Press the Run pipeline button to start it. If there are no errors, it should take Buddy only a minute or two to build, test, and deploy your Node.js web app to your Google Cloud VM.
Conclusion
Being able to instantly publish new features, bug fixes, and enhancements to your web apps gives you a definite edge over your competition. In this tutorial, you learned how to use Buddy's pipelines, predefined actions, and attachable services to automate and speed up common tasks such as building, testing, and deploying Node.js applications.
There's a lot more the Buddy platform can do. To learn more about it, do refer to its extensive documentation.
by Ashraff Hathibelagal via Envato Tuts+ Code https://ift.tt/33rH96G
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2nd Month Tech Update: Going Down The Rabbit Hole
Building capacity through building a farm
I was able to host a Vue.js workshop for full-time staff and co-op students within the building. It consists of hands-on development material I built at my last job. The workshop aims to provide participants which practical knowledge to get up and running building with Vue.js within 2 hours. Specifically, it consists of an online IDE (integrated development environment) where everyone gets full access to their own instance of the project repository; and a standalone web app built with the very same code found in the repository. In other words, while participants learn concepts from the lessons, they can also peer behind the content to see the actual code generating the examples. What is more, there are challenges throughout where participants must use the previous lessons to continually improve their project: designing a personal farm.
The results of the workshop were promising. Though all participants had web development experience, many were not very familiar with modern reactive front-end libraries. It was their first taste. They were introduced to modern javascript ideas such as reusable components, importing and exporting modules, and state. Further, some participants inquired as to how they could incorporate Vue.js into their current work, which I consider a win. It means they understand the value of the technology, and they are starting to see, and contemplate, ways it can be wielded in their own jobs.
Adding internationalization
At the moment I am building the front-end with Vue.js, and a Vue.js UI (user interface) framework Vuetify. Vuetify is built using Google’s popular Material Design spec, and essentially provides me with a bunch of nifty pre-made components. I didn’t add in internationalization (also known as i18n, where 18 refers to the letters couched within the bookending “i” and “n” in the word “internationalization” - shout out to Wikipedia for that!) from the start of my project. I decided I would add it early on, and I did. However, even this slight delay in implementation cost me over a day of troubleshooting to get everything working as desired. I got a refresher on a lesson I have already learned many a times in IT: “Do fundamental stuff at the start, or else!”
Up in the air
Month two was an interesting one by the end of it. On the technical side, it feels like everything has bled into everything else. What it will congeal into I know not at this juncture. There have been two notable catalysts for this occurrence:
i) As a team, we have gone full-force into conversations, interviews, and discussions with teams & actors both internal and external to our department. Consequently, our expertise in certain domains (e.g., the staff expectations for the future system) have surpassed that of others, for whom this project is one of many on the go. We have spread our net wide.
ii) On the technical side, there is a sequence of events that need to take place in a somewhat ridged order. For example, in order for us to produce a solid front-end, we need questions about the back-end answered, and before questions about the back-end can be answered a back-end solution must be chosen, and before a back-end solution is chosen there needs to be a formal options analysis (OA). We don’t have all the dominoes in place, yet. This leaves us in a tricky situation. We have a good deal of knowledge into some important things now, but we are also lacking knowledge into other critical things. We want to start building, but we aren’t certain what the back-end and it’s API will look like. We want to develop a web app, but we don’t know where the app will be hosted (and consequently what restrictions will apply to it). We want to use modern web technologies, but we don’t know what technologies are familiar to the team who will take over once we leave. We want to play with the possible back-end solutions that are being investigated, but we can’t gain access to a sandbox of those technologies.
Entering month three, our main focus - and consequently my main focus - will be on resolving the aforementioned dissonance.
Milestones Achieved
changed my Node.js code to target a cloud MongoDB database hosted by MongoDB Cloud Services, so now my app reads and writes data to a remote database.
added internationalization and localization to the app, so users can change languages (with the option of components like datepickers changing their format, too)
as a team we raised our level of confidence and knowledge to the point where we can contribute to the options analysis process & take a more active stance on the technology side of things
installed Windows 10 Pro on my work machine (for under $3 CND on ebay.ca via an OEM license), in order to get access to Windows’ Hyper-V, which is required for Docker Desktop on Windows
finished introductory Docker course on Lynda.ca to learn about containerization, and how it can be utilized in my development process going forward
built workplace IT capacity through hosting a Vue.js workshop
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MongoDB backup to S3 on Kubernetes- Alt Digital Technologies
Introduction
Kubernetes CronJob makes it very easy to run Jobs on a time-based schedule. These automated jobs run like Cron tasks on a Linux or UNIX system.
In this post, we’ll make use of Kubernetes CronJob to schedule a recurring backup of the MongoDB database and upload the backup archive to AWS S3.
There are several ways of achieving this, but then again, I had to stick to one using Kubernetes since I already have a Kubernetes cluster running.
Prerequisites:
Docker installed on your machine
Container repository (Docker Hub, Google Container Registry, etc) – I’ve used docker hub
Kubernetes cluster running
Steps to achieve this:
MongoDB installed on the server and running or MongoDB Atlas – I’ve used Atlas
AWS CLI installed in a docker container
A bash script will be run on the server to backup the database
AWS S3 Bucket configured
Build and deploy on Kubernetes
MongoDB Setup:
You can set up a mongo database on your server or use a MongoDB Atlas cluster instead. The Atlas cluster is a great way to set up a mongo database and is free for M0 clusters. You can also use a mongo database on your server or on a Kubernetes cluster.
After creating your MongoDB instance, we will need the Connection String. Please keep it safe somewhere, we will need it later. Choosing a connection string may confuse which one to pick. So we need to select the MongoDB Compass one that looks in the below format. Read more!!
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mern stack
aHow to Run Node Application
1. create a folder & open folder in vs code
2. create file named server.js ( run code of server.js file using terminal)
command to run
node filename.js // output
-------------------------------------------------------------------------------------------
package.json ( keeps track of all the dependencies )
npm init -y
when we install 3rd party packages this file keeps track of which ones we need.
------------------------------------------------------------------------------------------------
express
npm install express
express is used to set up web server
------------------------------------------------------------------------------------------------
Creating basic web server
const express = require(”express”); // express is third party module so before installing it we need what? package.json right
we use
const express = require(”express”); // in server.js
----------------------------------------------------------------------------------------
Is Express a third party module?Examples of third party modules are express, mongoose, etc.
--------------------------------------------------------------------------------------------
instance of express
const express = require(”express”);
const app = express(); // new instance of express
---------------------------------------------------------------------------------------------
now we have it then we tell it to listen and respond
app.get(”/”, (req, res)=>{
res.send(”welcome to home page “);
})
app.listen(3000);
-------------------------------------------------------------------------------------------------
after this you write
node server.js // web server we created will not stop running it will keep running bcz it’s a web server until we tell it to stop
go in browser type localhost/3000
it will run the response we mentioned in
app.get(”/”, (req, res)=>{
res.send(”welcome to home page “);
})
-----------------------------------------------------------------------------------------
/ in here means homepage
if we want it to give some response on admin page we write it like this
app.get(”/admin”, (req, res)=>{
res.send(”welcome to admin page “);
})
----------------------------------------------------------------------------------------
this is e and n in MERN
e web server package
n language or run time we are executing all of this within
--------------------------------------------------------------------------------------
mongodb compass - tool to connect to database using gui
-------------------------------------------------------------------------------------
docker
cmd
docker compose up -d ( for first time )
docker compose start ( each time )
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const {MongoClient} = require(”mongodb”)
async function start(){
const client = new MongoClient()
await client.connect()
client.db()
}
start()
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Welcome to a special Monthly Moo
Product Edition. We have so much to share that we needed to create a special edition of the Monthly Moo to cover all the latest features that are now available. And to see these in action, sign up for our webinar that's coming on Tuesday. More details below.
With many new features recently rolled out we need to group them in logical order to cover each of the following categories:
Correlation Workflow Automation Collector Collaboration Administration Correlation Incident Origin - At a glance, Moogsoft now displays which correlation was used to create the incident. Easily click on the link within the incident and navigate to the correlation definition used to correlate all the alerts into one actionable and insightful incident.
incident origin of Moogsoft software dashboard incident origin with correlation definition
Correlation Containers - Moogsoft allows Correlation definitions to be processed in a pre-defined order. This unique capability provides additional logic and granularity for single matching as well as alerts belonging to one or more incidents. Users have the ability to group Correlation definitions into Correlation containers for prioritization and ordering.
Correlation Preview - Allowing you to Preview the results of a Correlation before enabling is Moo world order now available. As you define the Correlation definition, you can now preview the alerts to be included for processing to ensure your desired outcomes are met. Don’t like what you see? No harm, just change your filters and hit the Scope Preview button.
scope preview of a Correlation
Workflow Automation Workflow Preview - The Workflow Engine provides a no code/low code interface, by using an intuitive drag and drop technique to build and deploy both simple and complex workflows. Understanding what triggers each workflow is extremely important for deploying new workflows right, the first time.
event workflow
Collector Advanced Configuration - The Moogsoft Collector is a branch of the Vector open source code owned by Datadog. Moogsoft develops Plugins for various data sources, such as HTTP, MongoDB, SystemOS, Docker and many others. This new feature provides the best of both worlds, allowing users to configure Moogsoft Plugins as well as Vector sources.
Moogsoft Collector preview
Moogsoft Collector preview
Windows Supported - The Moogsoft Collector now supports the Windows Operating System. The installation is very easy and requires users to run a simple MSI executable and follow the guided instructions.
Moogsoft Collector preview
Collaboration Microsoft Teams logo
MS Teams - Bi-directional integration between Moogsoft and Microsoft Teams is now available. Simply configure the Outbound webhook in Moogsoft and install the package for MS Teams, and watch your teams collaborate around solving issues faster than ever before.
Microsoft Teams collaboration dashboard
Zoom - Automatically start a Zoom meeting based on certain criteria of an incident. Instantly start or schedule for a future time and day.
Confluence - Automatically create a document in Confluence for Post Mortems and Retrospectives.
xMatters - Bi-directional integration for oncall alert notification and escalation with xMatters. Users can choose to update the incidents either in Moogsoft or xMatters mobile device or UI.
Webex Teams - Easily configure Moogsoft to post in different Webex Team Rooms. Each Webex Team Space can have an Incoming Webhook that can be configured from the Webex App Hub.
Administration Custom Roles - The standard roles of Owner, Administrator and Operator have now been extended to include any number of custom roles. Simply create a new role and define the required permissions. These can be used with your SSO deployment.
Custom roles for each Moogsoft user
Moogsoft in the News Check out the recap:
Continuous Availability vs. Continuous Change - Read how to limit customer impact during cloud adoption - whether cloud migration for the first time, hybrid cloud adoption, or extending cloud-native with newer microservice architecture.
More Tools + More People = Increased Complexity - Consider what happens if digital apps or services go down. Companies lose revenue, decrease productivity, compromise customer loyalty and the list of repercussions goes on, depending on the business. Read how to ensure continuous availability.
Upcoming Events May Monthly Moo: Product Edition: To see these updates in action, sign up for the webinar here!
Subscribe to newsletter to make sure you receive the latest updates
Moogsoft is the AI-driven observability leader that provides intelligent monitoring solutions for smart DevOps. Moogsoft delivers the most advanced cloud-native, self-service platform for software engineers, developers and operators to instantly see everything, know what’s wrong and fix things faster.
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How to Install Docker on Linux Mint 20.
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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Spring Boot Microservice Project with MongoDB in Docker Container | Tutorial with Java Example
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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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Windows 10 home vs home n reddit 無料ダウンロード.Windows 10を無料で使う。プロダクトキーは必要なし!
Windows 10 home vs home n reddit 無料ダウンロード.N エディションのメディア機能Windows一覧
Proだけの機能を使うにはアップグレードが必要.Revo Uninstaller のダウンロードと使い方 - k本的に無料ソフト・フリーソフト
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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· Windows 10には、家庭など一般用途の「Home」エディションと、主にビジネス用途の「Pro」エディションの2種類があります。この記事では、Windows 10 HomeのパソコンをWindows 10 Proにアップグレードする方法を詳しく解説します。Estimated Reading Time: 3 mins · 等々を備えています。. 「Revo Uninstaller」は、高機能なアンインストール支援ソフトです。. 指定したアプリケーションを、システムからきれいにアンインストールしてくれるクリーンアップツールで、アンインストールの際に. ソフトが、ハードディスクや Windows 10 の ISO ファイルをダウンロードするためにメディア作成ツールを使用した場合は、これらの手順に従う前に、ISO ファイルを DVD に書き込む必要があります。 Windows 10 をインストールする PC に、USB フラッシュ ドライブまたは DVD を挿入します。
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�� 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。.
Docker DesktopをインストールしたPCに VS Code と Remote Development拡張 を入れれば、Remote Containersを使って「Windows上の指定ディレクトリをVolumeマウントしたコンテナ上でVS Codeのリモート実行」というイマドキのコンテナを使った開発・作業環境も作れます。 例えば左下の接続アイコン押下すると表示されるメニューで「Remote-Containers: Open Folderin Container Docker Composeを使ってデプロイしたコンテナがある場合は、Docker Desktopを起動したときに表示されるContainer Listでマウスカーソルを合わせると「Open in Visual Studio Code」というボタンが表示されます。.
このボタンを押下すると、このコンテナを起動したときに使ったCompose file docker-compose. yml ファイル のあるディレクトリをVS Codeで開いてくれます。. Windows 10 HomeへのDocker Desktopのインストールを行い、使用例としてコマンドラインでの docker および docker-compose と、VS CodeのRemote Containers機能について紹介しました。. Qiita Teams that are logged in. 最新CPaaSコミュニケーションAPIの比較記事を投稿して、最大10万円のAmazonギフト券を手に入れよう! 詳しくはこちら. Improve article. Report article. Help us understand the problem. What are the problem? It's violation of community guideline. It's illegal. It's socially inappropriate. It's spam.
Docker Advent Calendar Day zaki-lknr 株式会社エーピーコミュニケーションズ. posted at updated at Docker Windows10 docker-compose VSCode. 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 Windows 10 Home EditionもDockerのインストールがとても簡単になっていました。 Docker Composeも標準で使用できます。 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。 環境 Windows 10 Home バージョン OSビルド exe」をダウンロードしておきます。 exeを実行します。 チェックはデフォルトのまま「OK」押下します。 ちなみにWindows 10 Proの場合はHyper-Vの有効化のチェックも表示されますが、デフォルトチェックのままでインストールの流れはHomeもProも同様です。 しばらく待てばインストールが完了します。 「Close and restart」押下するとWindows OSが再起動されます。 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.
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Moo world order
Welcome to a special Monthly Moo - Product Edition. We have so much to share that we needed to create a special edition of the Monthly Moo to cover all the latest features that are now available. And to see these in action, sign up for our webinar that's coming on Tuesday. More details below.
With many new features recently rolled out we need to group them in logical order to cover each of the following categories:
Correlation Workflow Automation Collector Collaboration Administration Correlation Incident Origin - At a glance, Moogsoft now displays which correlation was used to create the incident. Easily click on the link within the incident and navigate to the correlation definition used to correlate all the alerts into one actionable and insightful incident.
incident origin of Moogsoft software dashboard incident origin with correlation definition
Correlation Containers - Moo world order Moogsoft allows Correlation definitions to be processed in a pre-defined order. This unique capability provides additional logic and granularity for single matching as well as alerts belonging to one or more incidents. Users have the ability to group Correlation definitions into Correlation containers for prioritization and ordering.
Correlation Preview - Allowing you to Preview the results of a Correlation before enabling is now available. As you define the Correlation definition, you can now preview the alerts to be included for processing to ensure your desired outcomes are met. Don’t like what you see? No harm, just change your filters and hit the Scope Preview button.
scope preview of a Correlation
Workflow Automation Workflow Preview - The Workflow Engine provides a no code/low code interface, by using an intuitive drag and drop technique to build and deploy both simple and complex workflows. Understanding what triggers each workflow is extremely important for deploying new workflows right, the first time.
event workflow
Collector Advanced Configuration - The Moogsoft Collector is a branch of the Vector open source code owned by Datadog. Moogsoft develops Plugins for various data sources, such as HTTP, MongoDB, SystemOS, Docker and many others. This new feature provides the best of both worlds, allowing users to configure Moogsoft Plugins as well as Vector sources.
Moogsoft Collector preview
Moogsoft Collector preview
Windows Supported - The Moogsoft Collector now supports the Windows Operating System. The installation is very easy and requires users to run a simple MSI executable and follow the guided instructions.
Moogsoft Collector preview
Collaboration Microsoft Teams logo
MS Teams - Bi-directional integration between Moogsoft and Microsoft Teams is now available. Simply configure the Outbound webhook in Moogsoft and install the package for MS Teams, and watch your teams collaborate around solving issues faster than ever before.
Microsoft Teams collaboration dashboard
Zoom - Automatically start a Zoom meeting based on certain criteria of an incident. Instantly start or schedule for a future time and day.
Confluence - Automatically create a document in Confluence for Post Mortems and Retrospectives.
xMatters - Bi-directional integration for oncall alert notification and escalation with xMatters. Users can choose to update the incidents either in Moogsoft or xMatters mobile device or UI.
Webex Teams - Easily configure Moogsoft to post in different Webex Team Rooms. Each Webex Team Space can have an Incoming Webhook that can be configured from the Webex App Hub.
Administration Custom Roles - The standard roles of Owner, Administrator and Operator have now been extended to include any number of custom roles. Simply create a new role and define the required permissions. These can be used with your SSO deployment.
Custom roles for each Moogsoft user
Moogsoft in the News Check out the recap:
Continuous Availability vs. Continuous Change - Read how to limit customer impact during cloud adoption - whether cloud migration for the first time, hybrid cloud adoption, or extending cloud-native with newer microservice architecture.
More Tools + More People = Increased Complexity - Consider what happens if digital apps or services go down. Companies lose revenue, decrease productivity, compromise customer loyalty and the list of repercussions goes on, depending on the business. Read how to ensure continuous availability.
Upcoming Events May Monthly Moo: Product Edition: To see these updates in action, sign up for the webinar here!
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Moogsoft is the AI-driven observability leader that provides intelligent monitoring solutions for smart DevOps. Moogsoft delivers the most advanced cloud-native, self-service platform for software engineers, developers and operators to instantly see everything, know what’s wrong and fix things faster.
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