#connect mongoDB Atlas MongoDB Compass | Explore Tumblr posts and blogs

techentry · 5 months ago

Text

Python Full Stack Development Course AI + IoT Integrated | TechEntry

Join TechEntry's No.1 Python Full Stack Developer Course in 2025. Learn Full Stack Development with Python and become the best Full Stack Python Developer. Master Python, AI, IoT, and build advanced applications.

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React: Build Dynamic, Modern Web Experiences:

What is Web?

Markup with HTML & JSX

Flexbox, Grid & Responsiveness

Bootstrap Layouts & Components

Frontend UI Framework

Core JavaScript & Object Orientation

Async JS promises, async/await

DOM & Events

Event Bubbling & Delegation

Ajax, Axios & fetch API

Functional React Components

Props & State Management

Dynamic Component Styling

Functions as Props

Hooks in React: useState, useEffect

Material UI

Custom Hooks

Supplement: Redux & Redux Toolkit

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Angular: Master a Full-Featured Framework:

What is Web?

Markup with HTML & Angular Templates

Flexbox, Grid & Responsiveness

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Core JavaScript & TypeScript

Asynchronous Programming Promises, Observables, and RxJS

DOM Manipulation & Events

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HTTP Client, Ajax, Axios & Fetch API

Angular Components

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Angular Directives (Structural & Attribute)

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Backend

Python

Python Overview and Setup

Networking and HTTP Basics

REST API Overview

Setting Up a Python Environment (Virtual Environments, Pip)

Introduction to Django Framework

Django Project Setup and Configuration

Creating Basic HTTP Servers with Django

Django URL Routing and Views

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JSON Parsing and Form Handling

Using Django Templates for Rendering HTML

CRUD API Creation and RESTful Services with Django REST Framework

Models and Database Integration

Understanding SQL and NoSQL Database Concepts

CRUD Operations with Django ORM

Database Connection Setup in Django

Querying and Data Handling with Django ORM

User Authentication Basics in Django

Implementing JSON Web Tokens (JWT) for Security

Role-Based Access Control

Advanced API Concepts: Pagination, Filtering, and Sorting

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Rate Limiting and Security Practices

Deployment of Django Applications

Best Practices for Django Development

Database

MongoDB (NoSQL)

Introduction to NoSQL and MongoDB

Understanding Collections and Documents

Basic CRUD Operations in MongoDB

MongoDB Query Language (MQL) Basics

Inserting, Finding, Updating, and Deleting Documents

Using Filters and Projections in Queries

Understanding Data Types in MongoDB

Indexing Basics in MongoDB

Setting Up a Simple MongoDB Database (e.g., MongoDB Atlas)

Connecting to MongoDB from a Simple Application

Basic Data Entry and Querying with MongoDB Compass

Data Modeling in MongoDB: Embedding vs. Referencing

Overview of Aggregation Framework in MongoDB

SQL

Introduction to SQL (Structured Query Language)

Basic CRUD Operations: Create, Read, Update, Delete

Understanding Tables, Rows, and Columns

Primary Keys and Unique Constraints

Simple SQL Queries: SELECT, WHERE, and ORDER BY

Filtering Data with Conditions

Using Aggregate Functions: COUNT, SUM, AVG

Grouping Data with GROUP BY

Basic Joins: Combining Tables (INNER JOIN)

Data Types in SQL (e.g., INT, VARCHAR, DATE)

Setting Up a Simple SQL Database (e.g., SQLite or MySQL)

Connecting to a SQL Database from a Simple Application

Basic Data Entry and Querying with a GUI Tool

Data Validation Basics

Overview of Transactions and ACID Properties

AI and IoT

Introduction to AI Concepts

Getting Started with Python for AI

Machine Learning Essentials with scikit-learn

Introduction to Deep Learning with TensorFlow and PyTorch

Practical AI Project Ideas

Introduction to IoT Fundamentals

Building IoT Solutions with Python

IoT Communication Protocols

Building IoT Applications and Dashboards

IoT Security Basics

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Q: What are props in React?

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#Python Full Stack Development Course

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techomoro · 4 years ago

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Connect MongoDB Atlas with MongoDB Compass

If your app is using MongoDB, MongoDB Atlas is the best method to host it. We can easily deploy a database and manage it in MongoDB Atlas. It provides a versatile tool MongoDB Compass to interact with the DB using GUI. Here we will discuss the steps to connect MongoDB Atlas with MongoDB Compass. Prerequisites Before continuing this article, I assume that the reader has basic knowledge in…

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#connect #connect mongoDB Atlas MongoDB Compass #mongoDB Atlas #MongoDB Compass

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altdigitaltechnologies · 2 years ago

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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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cddrita · 3 years ago

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Connection monitor to closed mongodb compass

CONNECTION MONITOR TO CLOSED MONGODB COMPASS HOW TO

Therefore, our Database Engineers edited /etc/nf and corrected the settings.

CONNECTION MONITOR TO CLOSED MONGODB COMPASS HOW TO

To learn how to format the connection string for a deployment which is not hosted on Atlas, see Connection String URI Format. Setting up mongoose Setting up and connecting a database is . Found insideBy default, npm doesn't monitor your files/directories for any changes, and you have to. Click on startup_log to open the collection. Utilities¶ We updated the bind IP of the MongoDB to accept connection from outside and also confirmed that the port 27017 is open. The metrics topology uses the following naming convention for the names of the metric groups. Monitor MongoDB Atlas health and performance After you’ve set up the integration, you’ll have access to an out-of-the-box dashboard of Atlas health and performance metrics. Exception in monitor thread while connecting to server localhost : 27017 : Exception opening socket 1 at com.c. Close all sockets in the connection pools and stop the monitor threads. I am trying to deploy my app on Heroku, but Heroku doesn't start my DB connection. See also: Connection Refused using SRV Connection String Connection String Issues¶ Incorrect Connection String Format¶. If you use MongoDB Compass to connect to your cluster, refer to the Compass Connection Errors for additional resources. event_listeners¶ Make sure that your application can connect to Atlas.AWS¶ If your cluster runs on AWS or was created after October 2020: Open the cluster builder.

#Connection monitor to closed mongodb compass

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vewormag · 3 years ago

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Macos download mongodb

Macos download mongodb install#

Macos download mongodb drivers#

Macos download mongodb driver#

Macos download mongodb password#

Macos download mongodb windows#

To ensure that the connection to the data source is successful, click the Test Connection link.

Macos download mongodb password#

To set an empty password, right-click the Password field and select Set empty. Specify database connection details: a login, a password, and the database that you want to connect to. Read more about the DNS seedlist connection format in DNS Seedlist Connection Format at. MongoDB Atlas (SRV protocol): DNS seedlist connection format (for example, mongodb+srv:///). Read more about standard connection string format in Standard Connection String Format at.

Macos download mongodb driver#

For more information about creating a database connection with your driver, see Add a user driver to an existing connection.įrom the Connection type list, select your connection type:ĭefault: standard connection string format (for example, mongodb://localhost:27021/admin).

Macos download mongodb drivers#

You can specify your drivers for the data source if you do not want to download the provided drivers. The IDE does not include bundled drivers in order to have a smaller size of the installation package and to keep driver versions up-to-date for each IDE version. As you click this link, GoLand downloads drivers that are required to interact with a database. On the Data Sources tab in the Data Sources and Drivers dialog, click the Add icon ( ) and select MongoDB.Īt the bottom of the data source settings area, click the Download missing driver files link.

Macos download mongodb windows#

In the Database tool window ( View | Tool Windows | Database), click the Data Source Properties icon. In this case, the connection URL will look like: mongodb://localhost:27017/local?authSource=admin. If no authentication database is specified, MongoDB uses the admin database by default.įor example, you want to connect to the local database but your authentication database is admin. If the authentication database differs from the database to which you want to connect, specify the authentication database with the authSource parameter in the URL. You'll receive notifications when new versions of MongoDB Enterprise Advanced, the BI Connector, Compass and Ops Manager become available.In MongoDB, for authentication, you must provide a username, password, and the authentication database that is associated with this username. Receive release announcements from MongoDB Sign up to be added to our product release announcements mailing list. Include details about your environment, e.g.Mention the specific version of the database, client, and driver you are using.Include any statement or command that reproduces the issue you are experiencing.Search to find if the issue you are reporting has been reported previously.The more information you can provide, the easier it is for us to diagnose problems and provide support: Watch an issue to subscribe to any future updates such as comments or changes in status.Voting provides a helpful signal to help prioritize issues in the product/development roadmap. Vote for that issue to show your support.How can I follow or upvote an existing issue in JIRA? Unless otherwise specified, comments and attachments in public projects will be visible to public.To report a product security vulnerability, use SECURITY, a confidential space private to you and our development team.For language-specific drivers (Java, C++, etc.), create a ticket for the relevant language driver.To report potential bugs in the MongoDB database server, use Core Server (SERVER).Which JIRA project should I use to report bugs? ServerFault (server and networking questions)Īll MongoDB users can share your ideas via the MongoDB Feedback Engine.DBA StackExchange (database administration questions).StackExchange also has several sites with MongoDB topics:.For general questions or community support use the MongoDB Community forums.You should also consult our excellent documentation. MongoDB team members are active in community forums and you can also benefit from the experience of other MongoDB users. Where should I ask general product or support questions? Tickets opened via JIRA will not alert the Support Team and will not trigger any SLA timers. Open that app from your Applications folder to begin installing the operating system.

Macos download mongodb install#

It installs an app named Install Version Name.

Please note: MongoDB Support no longer utilizes JIRA. Safari downloads the following older installers as a disk image named InstallOS.dmg or InstallMacOSX.dmg.

MongoDB Cloud Manager or MongoDB Atlas customers should follow the Help link in Cloud Manager/ Atlas to create a ticket in the Support Portal.

MongoDB customers should always use the Support Portal to obtain the fastest response and ensure privacy.

Welcome to MongoDB's Issue Tracker I am a customer.

#Macos download mongodb

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programjust · 3 years ago

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Mongodb compass update query

#Mongodb compass update query code

#Mongodb compass update query license

#Mongodb compass update query free

#Mongodb compass update query windows

Offers support for SQL to MongoDB migration.Explore Schema using schema analysis and identify issues like duplicate collections, mis-spellings, etc.

#Mongodb compass update query code

Generate code for different programming languages like Java, NodeJS, Python instantly.

For faster querying features like auto-completion, Visual Query builder as well as SQL-like syntax for creating queries.

Can double up as a MongoDB client as well as MongoDB UI or IDE.

Studio 3T is a MongoDB GUI or user interface and supports different platforms like Windows, Mac, and Linux.Īlong with querying data, it offers a host of MongoDB tools like Visual Query builder to build data queries using a User Interface as well as export/import for working with MongoDB collections. Paid version starts at $129 per license.īest for enterprise-level MongoDB GUI tool available for cross platforms.

#Mongodb compass update query free

Offers free version with limited features.Ģ. SQL Like queries supporting JOINS and Aggregate expressions.ġ. Supports auto code completion with intellisense.ģ. Offers exceptional debugging support with ability to setup breakpoints within the query editor.Ģ. Basic plan starts at $19 per user per month for limited no of projects and charts.ġ. Supports advanced search and SSL connections.Ģ. Web based MongoDB GUI used to create highly customisable Admin dashboards.Ģ. Paid versions start at - $69 per license.ġ. End to end encrypted and secure connections.Ģ. GUI client for both SQL and NO SQL databases.ģ. Upto date with latest MongoDB versions.ġ. Integrated with an intelligent JSON validator.ģ. Visual Query editor and visual explain plans.Ģ. Embeds mongoDB shell hence support is upto date for the latest version of MongoDBģ. Lightweight and open source MongoDB GUI Client.Ģ.

#Mongodb compass update query license

Paid version starts at $199 per license per year.ġ. Support for generating code for the queries for different scripting languages like - Java, NodeJS, Python.Ģ. Cross platform support with features like autocomplete and syntax highlighting.ģ. Similarly, a cloud-based MongoDB instance would have a URL and port. Any GUI like Robo3T or NoSQL Booster can connect to the MongoDB instance by providing the URL and port of the instance.Ģ. It offers hosting on various cloud platforms, like – Google Cloud, Azure, and Amazon AWS.Īnswer: MongoDB running as a local instance exposes a local port where it’s running.

#Mongodb compass update query windows

MongoDB community edition is available for Windows only for 64-bit versions of Windows architecture.įor more installation steps, refer to official MongoDB documentation.Īnswer: MongoDB is a service provided by the parent company of MongoDB which offers a fully managed MongoDB instance hosted and managed on the cloud and the service provider handles all the complexity. For serverless applications, it charges around – $0.3 per million reads for cloud-based Mongo deployment.Īnswer: MongoDB is available across different platforms. If you are using Mongo Atlas or cloud-based MongoDB, you would be charged as per different plans of Atlas. To name a few of them – TablePlus, Studio3T, NoSQL Booster, etc.Īnswer: MongoDB compass is free to use Mongo GUI client only for local on-premise deployments. There are various MongoDB GUI tools available in the market. Additionally, there are lots of other free and paid MongoDB UI clients like Studio3T, Robo3T, NoSQL booster, etc.Īnswer: MongoDB installation by default comes as a shell that offers to perform different operations in the form of queries on the shell or terminal. This is always not a feasible solution, especially for businesses and other non-technical people. It’s free to use for on-premise deployments. Q #1) What is the MongoDB standard GUI client?Īnswer: Standard GUI client is MongoDB compass which is developed by the owner of MongoDB only. Code native data access allows you to use multiple data structures depending on the ORM language.Highly flexible and dynamic document schemas.Some of the other advantages of MongoDB include: With support for JSON document structure and dynamic schemas, NoSQL is finding applications in almost all the fields like Social Gaming, Ad Targeting, eCommerce, as well as widely spreading applications based on the Internet of Things. This share is fast increasing, with NoSQL-based applications increasing day by day. Market Trends: As per Enlyft, MongoDB has an overall market share of 5.71% within the Database ecosystem.

#Mongodb compass update query

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freetutorialstack-blog · 6 years ago

Text

Node.js, Express, MongoDB & More: The Complete Bootcamp 2019

Description

Do you want to build fast and powerful back-end applications with JavaScript? Would you like to become a more complete and in-demand developer? Then Node.js is the hot technology for you to learn right now, and you came to the right place to do it! Welcome to the Complete Node.js, Express and MongoDB Bootcamp, your fast track to modern back-end development. This course is the perfect all-in-one package that will take you from a complete beginner to an advanced, highly-skilled Node.js developer. Like all my other courses, this one is completely project based! And not just any project: it's a complete, beautiful and feature-rich application, containing both a RESTful API and a server-side rendered website. It's the most fantastic and complete project that you will find in any Node.js course on the internet! By building this huge project, you will learn all the skills that you need in order to plan, build and deploy your own modern back-end applications with Node.js and related technologies. (Actually, if you feel like exploring the project, you can do so at www.natours.dev. And this is only a small part of the project! Log in with "[email protected]" and password "test1234") After finishing this course, you will: 1) Be building you own fast, scalable and powerful Node.js RESTful APIs or web applications; 2) Truly understand how Node.js works behind the scenes; 3) Be able to work with NoSQL data and model data in real-world situations (a hugely important skill); 4) Know how modern back-end development works, and how all the different technologies fit together (hard to understand from scattered tutorials and videos); 5) Have experience in professionally-used tools and libraries like Express, Mongoose, Stripe, Sendgrid, Atlas, Compass, Git, Heroku, and many more; 6) Have built a complete application, which is a perfect starting point for your own applications in the future. Please note that this course is NOT for absolute web development beginners, so you should already be familiar with basic JavaScript. NO back-end experience required though! It's an absolutely full-packed, deep-dive course with over 40 hours of content! Since this is the "Complete Node.js Bootcamp", the course is crammed with tons of different technologies, techniques, and tools, so that you walk away from the course as a complete Node.js developer. That's why the course turned out to be over 40 hours long. But if that sound like too much for you, don't worry, there are videos or entire sections that you can safely skip. Here is exactly what you're gonna learn: Fundamentals of Node.js, core modules and NPM (Node Package Manager) How Node.js works behind the scenes: event loop, blocking vs non-blocking code, event-driven architecture, streams, modules, etc. Fundamentals of Express (Node.js framework): routing, middleware, sending responses, etc. RESTful API design and development with advanced features: filtering, sorting, aliasing, pagination Server-side website rendering (HTML) with Pug templates CRUD operations with MongoDB database locally and on the Atlas platform (in the cloud) Advanced MongoDB: geospatial queries, aggregation pipeline, and operators Fundamentals of Mongoose (MongoDB JS driver): Data models, CRUD operations, data validation, and middleware Advanced Mongoose features: modeling geospatial data, populates, virtual populates, indexes, etc. Using the MVC (Model-View-Controller) architecture How to work with data in NoSQL databases Advanced data modelling: relationships between data, embedding, referencing, and more Complete modern authentication with JWT: user sign up, log in, password reset, secure cookies, etc. Authorization (user roles) Security: best practices, encryption, sanitization, rate limiting, etc. Accepting credit card payments with Stripe: Complete integration on the back-end and front-end Uploading files and image processing Sending emails with Mailtrap and Sendgrid Advanced error handling workflows Deploying Node.js application to production with Heroku Git and GitHub crash course And so much more! Why should you learn Node.js and take this course? If you want to learn Node.js and modern back-end development, then there is no doubt that this course is for you! It's the biggest Node.js course on the internet, it has by far the most complete course project, and offers the most in-depth explanations of all topics included. And even if you already know some Node.js, you should still take this course, because it contains subjects that are not covered anywhere else, or not in the same depth! But maybe you're not yet convinced that Node.js really is the right technology for you to learn right now? Well, first, Node.js will allow you to use your JavaScript skills to build applications on the back-end. That itself is a huge gain, which makes your full-stack development process so much easier and faster. Plus, popularity and opportunities for Node.js are off the charts. It's a modern, proven and reliable technology, used by tech giants (and 6-figure-salary-paying-companies) like Netflix, PayPal, Uber, and many more. Node.js really is what you should invest your time in, instead of outdated technology like PHP. In summary, if you already know JavaScript, learning Node is the logical next step for you! It will make you a better, more versatile and complete developer, which will ultimately boost your opportunities in the job market! And I created this course to help you do exactly that! It really is the course I wish I had when I was first learning back-end development with Node.js and all related technologies. And this is what you get by signing up today: Lifetime access to 40+ hours of HD quality videos. No monthly subscription. Learn at your own pace, whenever you want; All videos are downloadable. Learn wherever you want, even without an internet connection! Friendly and fast support in the course Q&A whenever you have questions or get stuck; English closed captions (not the auto-generated ones provided by Udemy); Course slides in PDF format; Downloadable assets, starter code and final code for each section; Lots of small challenges are included in the videos so you can track your progress. And now, I hope to welcome you as a new student in my course! So click that "Enroll" button right now, and join me in this adventure today! But if you're not 100% sure yet, just go ahead and watch the promo video to take a look at the course project. I promise you will be amazed :) Read the full article

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polinaouk · 5 years ago

Text

Set up environments and deploying to production

I went through tricky process to deploy my Backend server to the Heroku. This required me to correctly set up environments.

Creating a production Mongo DB

I chose mongodb atlas for storing my DB. I successfully created the cluster and connected it to Mongo Compass where I can see my DB in cloud and locally. It took some time as I was getting errors with setting up env-cmd dependencies. The problem was that I installed the latest version of env-cmd which required a special flag in set up. They introduced this in latest version and it was breaking my code. (Welcome to Open source :))

https://gitlab.doc.gold.ac.uk/polem001/creativeproject/-/commit/193895e493fb338de810a193485da09306dfb8c4

Heroku deployment

I deployed the backend server to production on Heroku. When it is running on Heroku, it is connected to production MongoDB atlas

0 notes

rafi1228 · 5 years ago

Link

Master Node by building a real-world RESTful API and web app (with authentication, Node.js security, payments & more)

What you’ll learn

Master the entire modern back-end stack: Node, Express, MongoDB and Mongoose (MongoDB JS driver)

Build a complete, beautiful & real-world application from start to finish (API and server-side rendered website)

Build a fast, scalable, feature-rich RESTful API (includes filters, sorts, pagination, and much more)

Learn how Node really works behind the scenes: event loop, blocking vs non-blocking code, streams, modules, etc.

CRUD operations with MongoDB and Mongoose

Deep dive into mongoose (including all advanced features)

How to work with data in NoSQL databases (including geospatial data)

Advanced authentication and authorization (including password reset)

Security: encryption, sanitization, rate limiting, etc.

Server-side website rendering with Pug templates

Credit card payments with Stripe

Sending emails & uploading files

Deploy the final application to production (including a Git crash-course)

Downloadable videos, code and design assets for projects

Requirements

Absolutely NO understanding of Node or back-end development is required! I take you from beginner to advanced developer!

Basic understanding of JavaScript is required (the course contains a section about asynchronous JavaScript with promises and async/await in case you need to get up to speed)

Basic understanding of HTML is a plus (only for final part of the course), but NOT a must

Any computer and OS will work — Windows, macOS or Linux

Description

Do you want to build fast and powerful back-end applications with JavaScript? Would you like to become a more complete and in-demand developer?

Then Node.js is the hot technology for you to learn right now, and you came to the right place to do it!

Welcome to the Complete Node.js, Express and MongoDB Bootcamp, your fast track to modern back-end development.

This course is the perfect all-in-one package that will take you from a complete beginner to an advanced, highly-skilled Node.js developer.

Like all my other courses, this one is completely project based! And not just any project: it’s a complete, beautiful and feature-rich application, containing both a RESTful API and a server-side rendered website. It’s the most fantastic and complete project that you will find in any Node.js course on the internet!

By building this huge project, you will learn all the skills that you need in order to plan, build and deploy your own modern back-end applications with Node.js and related technologies.

(Actually, if you feel like exploring the project, you can do so at www.natours.dev. And this is only a small part of the project! Log in with “[email protected]” and password “test1234”)

After finishing this course, you will:

1) Be building you own fast, scalable and powerful Node.js RESTful APIs or web applications;

2) Truly understand how Node.js works behind the scenes;

3) Be able to work with NoSQL data and model data in real-world situations (a hugely important skill);

4) Know how modern back-end development works, and how all the different technologies fit together (hard to understand from scattered tutorials and videos);

5) Have experience in professionally-used tools and libraries like Express, Mongoose, Stripe, Sendgrid, Atlas, Compass, Git, Heroku, and many more;

6) Have built a complete application, which is a perfect starting point for your own applications in the future.

Please note that this course is NOT for absolute web development beginners, so you should already be familiar with basic JavaScript. NO back-end experience required though!

It’s an absolutely full-packed, deep-dive course with over 40 hours of content!

Since this is the “Complete Node.js Bootcamp”, the course is crammed with tons of different technologies, techniques, and tools, so that you walk away from the course as a complete Node.js developer.

That’s why the course turned out to be over 40 hours long. But if that sound like too much for you, don’t worry, there are videos or entire sections that you can safely skip.

Here is exactly what you’re gonna learn:

Fundamentals of Node.js, core modules and NPM (Node Package Manager)

How Node.js works behind the scenes: event loop, blocking vs non-blocking code, event-driven architecture, streams, modules, etc.

Fundamentals of Express (Node.js framework): routing, middleware, sending responses, etc.

RESTful API design and development with advanced features: filtering, sorting, aliasing, pagination

Server-side website rendering (HTML) with Pug templates

CRUD operations with MongoDB database locally and on the Atlas platform (in the cloud)

Advanced MongoDB: geospatial queries, aggregation pipeline, and operators

Fundamentals of Mongoose (MongoDB JS driver): Data models, CRUD operations, data validation, and middleware

Advanced Mongoose features: modeling geospatial data, populates, virtual populates, indexes, etc.

Using the MVC (Model-View-Controller) architecture

How to work with data in NoSQL databases

Advanced data modelling: relationships between data, embedding, referencing, and more

Complete modern authentication with JWT: user sign up, log in, password reset, secure cookies, etc.

Authorization (user roles)

Security: best practices, encryption, sanitization, rate limiting, etc.

Accepting credit card payments with Stripe: Complete integration on the back-end and front-end

Uploading files and image processing

Sending emails with Mailtrap and Sendgrid

Advanced error handling workflows

Deploying Node.js application to production with Heroku

Git and GitHub crash course

And so much more!

Why should you learn Node.js and take this course?

If you want to learn Node.js and modern back-end development, then there is no doubt that this course is for you!

It’s the biggest Node.js course on the internet, it has by far the most complete course project, and offers the most in-depth explanations of all topics included.

And even if you already know some Node.js, you should still take this course, because it contains subjects that are not covered anywhere else, or not in the same depth!

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Node.js really is what you should invest your time in, instead of outdated technology like PHP.

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Who this course is for:

Take this course if you want to build amazingly fast and scalable back-end applications using the JavaScript skills you already have. Node is the perfect tool for you!

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Size: 19.70 GB

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The post Node.js, Express, MongoDB & More: The Complete Bootcamp 2019 appeared first on Free Course Lab.

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mrtgr · 7 years ago

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MongoDB Ecosystem

MongoDB has other products that you can use. You may or you may not use them all. It is all about what you need. So let's look at the diagram:

MongoDB Database This is obvious, the database you want to work on it. It has community edition and has all the features you need for now.

Atlas (Cloud) You can focus your data and all the system and ops related tasks done for you.

Mobile MongoDB Mobile lets you store data where you need it, from iOS, Android, and IoT devices to your backend in the cloud – all using a single database. MongoDB Mobile lets you build the fastest, most reactive, always-on apps.

Compass This is the user interface to manage your MongoDB. Visually explore your data. Run ad hoc queries in seconds. Interact with your data with full CRUD functionality. View and optimize your query performance.

BI Connectors The MongoDB BI Connector lets you use MongoDB as a data source for your BI and analytics platforms. Seamlessly create the visualizations and dashboards that will help you extract the insights and hidden value in your multi-structured data.

MongoDB Charts This is in BETA as I write this article. MongoDB Charts is the fastest and easiest way to create visualizations of MongoDB data. Connect to any MongoDB instance as a data source, create charts and graphs, build dashboards, and share them with other users for collaboration.

Stitch Exposes the full power of working with documents in MongoDB and the MongoDB query language, directly from your web and mobile application front-end code. A powerful rules engine lets developers declare fine-grained security policies.

Allows developers to run simple JavaScript functions in the Stitch serverless platform, making it easy to implement application logic, securely integrate with cloud services and microservices, and build APIs.

Executes functions in real time in response to changes in the database or user authentication events.

Automatically synchronizes data between documents held locally in MongoDB Mobile and the backend database.

This is the snapshot of the ecosystem. You can find much more detail on http://www.mongodb.com . I'm very excited about Stitch and its abilities. See you in the next article.

#mongodb #atlas #mobile #compass #bi-connectors #mongodb charts #stitch

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mbaljeetsingh · 7 years ago

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Build Custom Dashboards with MongoDB, Azure & Serverless Functions

This article was originally published on Ahmad Awais. Thank you for supporting the partners who make SitePoint possible.

TL;DR: I’m building a custom WordPress dashboard for an enterprise client which is powered by React.js on top of Node.js, with MongoDB Atlas as the database.

This dashboard uses several Microsoft Azure services, e.g., Cognitive Services, Azure App Services, and especially serverless Azure Functions. In this post, you’ll learn how to build a small module from it and the reason behind my choice of stack, apps, and products.

One of my enterprise clients who owns a huge networking and media company has a large-scale WordPress site set up. He recently consulted me about the possibility of building a custom WordPress dashboard (based on the WordPress REST API) — to help him make intelligent business decisions via Machine Learning and Artificial Intelligence.

With JavaScript eating up the world and WordPress adapting to the move by creating the Gutenberg project, I thought of an architecture/stack where WordPress would be our content layer, a familiar battle-tested environment that does its job well with a custom dashboard that’s built with JavaScript.

When you’re tasked to build a modern JavaScript application, you find yourself in a mix of different frameworks, tools, and dev workflows. The JavaScript ecosystem has grown a lot over the last couple of years. We have many, many good options available today.

So, after researching my options for a bit, I opted to use React.js on top of Node.js to start building the custom WordPress dashboard. While the project is in its ideation phase at the moment, I think it’s important that I share some of our goals here to define context behind my choice of the stack.

Custom WordPress Dashboard Goals

Imagine you own a large networking company where over 500 hotels (in three different countries) use your services to power their conference halls, IT meetings, and online property management like the sites and blogs. That’s what my client does.

Most of this is powered by a huge multi-site WordPress instance that manages everything for the hotels, websites, online booking, registrations, events, tickets, reviews, and comments. There’re also other systems running different software which are able to produce content via REST API.

We’ve set out to create a custom WordPress dashboard with many goals in mind, but I’m listing a few of them which are related to this particular article. Take a look at what I have built so far, it’s all based on serverless Azure functions — which are pretty awesome.

👀 High-level Data Reporting

The custom dashboard will report all the high-level data, e.g. things like live sales happening throughout my client’s portfolio (500+ hotels), entity/time-based and date-based breakdowns.

And how each of his franchise performing on a daily, weekly, monthly basis. All of this data is being fed to MongoDB Atlas. More on that later.

⚡ Serverless Automation

Most of the modules are built upon serverless architecture — which in this case provides huge benefits. All the automation is always running and the cost is paid as you go i.e. pay for what you use.

An initial rough estimate puts this solution 34% more economical than having a server VM running all the time. We are using Azure Functions for this serverless automation.

🔥 IoT (Internet of Things) Hub

There are about ~200 IT managers working for my client who have IoT enabled devices that feed data into several online projects. This custom dashboard also includes that data for making better decisions and connecting the whole registration, management, maintenance team’s hub into a single place.

As you might have already guessed, this project makes use of IoT Hub from Microsoft Azure to connect, monitor, and manage all of the IoT assets.

🤖 Machine Learning and Artificial Intelligence

We’re using a lot of different services from Microsoft Azure for the sake of making this dashboard artificially intelligent by Machine Learning.

There’s a huge dataset that is fed to the ML Studio which later helps us predict different decisions like space management, low registrations trends for IT events, and questions like why and when these things happen.

While the Machine Learning part is beyond the scope of this article, I still plan to touch base with some of the awesome Artificial Intelligence I’ve been able to cook in via Azure’s Cognitive Services.

🕰 Live & Real-time

One of the most important aspects of this custom dashboard is that it’s live and real-time. Which means I need a managed database that can cope with this amount of data and still stay highly available.

But at the same time, it’s for the management purposes and doesn’t need to have any impact on the WordPress sites. That is a crucial system design decision for this dashboard.

By that what I mean is we can do all sorts of experiments with this custom dashboard but it shouldn’t have any impact on the database/servers which are running the multi-site WordPress instance.

MongoDB & MongoDB Atlas

For this custom WordPress dashboard, I am using MongoDB Atlas as a DBaaS (Database as a Service). And I couldn’t be happier. When I first shared that I’d be using MongoDB, many developers had concerns.

Most of the questions asked why I'd add another layer of complexity by adding yet another database to the mix. Why not use the WordPress database as it is? To answer these questions and more I have prepared a list of reasons as to why I am using MongoDB Atlas.

♨ Dislike for RDBMS

I personally dislike relational databases. Most of the time, for me they get in the way of building applications. I have to completely get out of the app I am building, think about my database in the future and design a good schema which always ends up a bad exercise for my dev workflow. It’s counter-intuitive at best — at least for me, it is.

💸 HDD Is Cheap — CPU/RAM Is Not

Old databases were mostly designed to save disk space, among other things. This led to a plethora of problems like normalization, indexing, and made sharding, auto-scaling, and replication harder.

Nowadays, disk space is dirt cheap. On the other hand, CPU/RAM is not, and your sysadmin costs can skyrocket very quickly if you end up with a bad choice here.

Like you wanted to create a custom dashboard but your system design architect cost you two sysadmins with how they chose to design your system. Similarly, my client wanted a managed solution without having to hire a team of IT/DevOps folks — at least for an experimental custom dashboard.

🍀 MongoDB’s Pros

Schema-less. Flexible schema for the win. I don’t have to change anything, my regular app development workflow, creating a Node.js-based app that I am manipulating with JSON type data, I can just feed that into MongoDB and it just works.

Workflow-consistency. Creates documents the way my custom dashboard is represented. Sales, Videos, Talks, Comments, Reviews, Registrations, etc. all of that have similar data representation on the frontend and the backend — and even in the database. I manage 3rd party data via middleware. This consistency translates to clean code.

Ease of scale-out. It scales reads by using replica sets. Scales writes by using sharding (auto-balancing). Just fire up another machine and away you go. Most importantly, instead of vertical scaling via RDBMS, MongoDB lets you scale horizontally with different levels of consistency. That’s a big plus. ➕

Cost. Depends on which RDBMS of course, but MongoDB is free and can run on Linux, ideal for running on cheaper commodity kits.

🍃 Why MongoDB Atlas?

Well, now that I know MongoDB is the right database choice, there are so many different options to host your database. I can self-host on my Linux machine via DigitalOcean, use a cloud provider like AWS/Azure or a choose a DBaaS service specific to MongoDB.

But I want a fast, secure, and managed MongoDB solution that I can easily scale with the growth of the number of modules we attach in this custom WordPress dashboard. That’s MongoDB Atlas.

MongoDB Atlas is a cloud-hosted MongoDB service engineered and run by the same team that builds the database. And guess what, I trust that they follow the best operational practices since they are the ones who’re building MongoDB in the first place.

I want this custom dashboard to be self-managed, serverless, and using MongoDB Atlas saves me from worrying about software patching, backups, and reliable configuration setup for new DB updates. Again a big plus. ➕

Also, the fact that MongoDB Atlas is supported cross-platform as well as cross-region and across different cloud providers makes it a much better choice. I think each Cluster comes with two replica sets, ready to scale.

🔋 MongoDB Compass

Now that we are going to work with MongoDB, it’d be great to have a tool through which we can explore our database, view the changes, debug and so on. For this purpose, MongoDB again takes the lead with a product called MongoDB Compass. Take a look.

I suggest that you go ahead and download MongoDB Compass. It’s literally the best tool to visualize your MongoDB database. Here’s a set of features:

Visualize and explore: Take a look at your database, find out how things are looking, and even visualize stuff like maps/coordinates.

Insert, modify, and delete: You can also perform CRUD operations for your DB right from MongoDB compass. Makes testing easier.

Debug and optimize: Finally, analyze your data, debug it and even find out about performance issues right inside a great GUI for your database. This tool is a must-have if you work with MongoDB.

Extensible: And the best part is you can build your own plugins to extend MongoDB Compass. Here’s the documentation on building your own Compass plugins.

Enterprise Flavor: MongoDB Compass comes in a few flavors: Community (Free), and Enterprise (Licensed) — the Enterprise version is the one that lets you visualize DB schema.

✅ Getting Started with MongoDB Atlas

Let’s get started and build a simple module that's part of the custom WordPress dashboard I am building. For this module, we are collecting all the sales related data. For that, we need a MongoDB instance, and of course we’re using MongoDB Atlas here.

Step #1: Go to MongoDB Atlas →

Go to the MongoDB Atlas site and register a completely free MongoDB instance hosted on AWS, with shared RAM and 512 MB storage. Click the Get Started Free button.

Step #2: Sign up at MongoDB Atlas →

Now go ahead and sign up with your email ID and fill up the details. It’s amazing that you can sign up and use a free MongoDB Atlas hosted DB instance, and they don’t even require you to add a credit card for that.

Step #3: Create the Cluster

Now you’ll be redirected to a page with a bunch of information about the new MongoDB Cluster you’re about to create. I suggest that you review this information, and move ahead by clicking the Create Cluster button at the bottom just like in the screenshot below.

Step #4: Create DB Username & Password

It’ll take a minute and your DB will be created. Once that happens, head over to the Security > MongoDB Users and click on the + ADD NEW USER button on the right, to create a new user for your database. Let’s keep all the other settings set to default for the sake of this intro-article.

I’m setting the user/pass as usermongo but you know better.

Step #5: Add IP to Whitelist for Access

To be able to access your MongoDB Atlas database, you need to setup the IP Whitelist with the IP of your server where your app is hosted. Authentication is beyond what I am discussing here so for the purpose of this demo let’s just allow everyone (obviously a bad practice in production).

So, again, head over to the Security > IP Whitelist and click on the + ADD IP ADDRESS button on the right, and finally ALLOW ACCESS FROM ANYWHERE button to allow the anonymous access.

Step #6: Connect via MongoDB Compass

Now that our DB’s IP access and a user has been created, we can pick up the connection string and use it to connect to our database with our MongoDB Compass application.

Go to Connect then choose Connect with MongoDB Compass and download Compass if you haven’t. Copy the URI Connection String. Finally, open Compass and it should be able to detect the connection string in your clipboard, allow it to connect to your database.

And you are set to visualize your database, analyze its performance, and even run complete CRUD operations. Awesome! 💯

Now that we have created a MongoDB Atlas and connected it with MongoDB Compass, we can move forward and start building our Node.js application.

WordPress REST API — FTW!

This WordPress based Node.js custom dashboard interacts with the WordPress instance via the WordPress REST API. Since this is a Node.js app, I am using an awesome library called wpapi written by K Adam White. He has also built a demo Express based WordPress app. That’s what I got inspired by while building this custom dashboard, so you’ll see a lot of it here.

🚀 WordPress Custom Router Based on Express

The router is set up with Express. Here’s a basic error handler and router template for using WordPress with express.

'use strict'; var express = require('express'); var router = express.Router(); var siteInfoMiddleware = require('../middleware/site-info'); // Set global site info on all routes router.use(siteInfoMiddleware); // Public Routes // ============= router.get('/', require('./index')); router.get('/page/:page', require('./index')); router.get('/:slug', require('./single')); router.use('/tags/:tag', require('./tag')); router.use('/categories/:category', require('./category')); // Catch 404 and forward to error handler. router.use(function (req, res, next) { var err = new Error('Not Found'); err.status = 404; next(err); }); // Error Handling // ============== // Development error handler will print stacktrace. function developmentErrorRoute(err, req, res, next) { res.status(err.status || 500); res.render('error', { message: err.message, error: err }); } // Production error handler. No stacktraces leaked to user. function friendlyErrorRoute(err, req, res, next) { res.status(err.status || 500); res.render('error', { message: err.message, error: {} }); } // Configure error-handling behavior if (router.get('env') === 'development') { router.use(developmentErrorRoute); } else { router.use(friendlyErrorRoute); } module.exports = router;

View the code on Gist.

🎚 Basic Express Based Implementation

I am not hosting this entire thing on WordPress, but the initial plan was to do just that. If you want to go do that, you’d wanna build the index by querying all the info using the RSVP.hash utility for convenience and parallelism. For that here’s what you should do.

'use strict'; var wp = require( '../services/wp' ); var contentService = require( '../services/content-service' ); var pageNumbers = require( '../services/page-numbers' ); var pageTitle = require( '../services/page-title' ); var RSVP = require( 'rsvp' ); function getHomepage( req, res, next ) { var pages = pageNumbers( req.params.page ); RSVP.hash({ archiveBase: '', pages: pages, title: pageTitle(), // Primary page content posts: wp.posts().page( pages.current ), sidebar: contentService.getSidebarContent() }).then(function( context ) { if ( req.params.page && ! context.posts.length ) { // Invalid pagination: 404 return next(); } res.render( 'index', context ); }).catch( next ); } module.exports = getHomepage;

View the code on Gist.

🦏 Authentication Cooked In

For this setup, you’ll also need to authenticate your Node.js app by giving it the authentication data, which along with wpapi can be processed like this. Beware this is not always a best practice if you don’t use correct permissions and environment variables settings.

var WP = require( 'wordpress-rest-api' ); var _ = require( 'lodash' ); var config = _.pick( require( './config' ).wordpress, [ // Whitelist valid config keys 'username', 'password', 'endpoint' ]); var wp = new WP( config ); module.exports = wp;

View the code on Gist.

🦁 Site Content Accumulation

And finally, you are able to consume all the content by creating a content service which handles recursively fetching:

All the pages of a paged collection.

Your WordPress site’s info.

An alphabetized list of categories.

A specific category (specified by slug) from the content cache.

An alphabetized list of tags.

A specific tag (specified by slug) from the content cache

Other content required to have some feature parity with WP.

The code for this looks somewhat like this.

'use strict'; var wp = require( './wp' ); var cache = require( './content-cache' ); var _ = require( 'lodash' ); var RSVP = require( 'rsvp' ); /** * Recursively fetch all pages of a paged collection * * @param {Promise} request A promise to a WP API request's response * @returns {Array} A promise to an array of all matching records */ function all( request ) { return request.then(function( response ) { if ( ! response._paging || ! response._paging.next ) { return response; } // Request the next page and return both responses as one collection return RSVP.all([ response, all( response._paging.next ) ]).then(function( responses ) { return _.flatten( responses ); }); }); } function siteInfo( prop ) { var siteInfoPromise = cache.get( 'site-info' ); if ( ! siteInfoPromise ) { // Instantiate, request and cache the promise siteInfoPromise = wp.root( '/' ).then(function( info ) { return info; }); cache.set( 'site-info', siteInfoPromise ); } // Return the requested property return siteInfoPromise.then(function( info ) { return prop ? info[ prop ] : info; }); } /** * Get an alphabetized list of categories * * All archive routes display a sorted list of categories in their sidebar. * We generate that list here to ensure the sorting logic isn't duplicated * across routes. * * @method sortedCategories * @return {Array} An array of category objects */ function sortedCategories() { return all( wp.categories() ).then(function( categories ) { return _.chain( categories ) .sortBy( 'slug' ) .value(); }); } function sortedCategoriesCached() { var categoriesPromise = cache.get( 'sorted-categories' ); if ( ! categoriesPromise ) { categoriesPromise = sortedCategories(); cache.set( 'sorted-categories', categoriesPromise ); } return categoriesPromise; } /** * Get a specific category (specified by slug) from the content cache * * The WP API doesn't currently support filtering taxonomy term collections, * so we have to request all categories and filter them down if we want to get * an individual term. * * To make this request more efficient, it uses sortedCategoriesCached. * * @method categoryCached * @param {String} slug The slug of a category * @return {Promise} A promise to the category with the provided slug */ function categoryCached( slug ) { return sortedCategoriesCached().then(function( categories ) { return _.findWhere( categories, { slug: slug }); }); } /** * Get a specific tag (specified by slug) from the content cache * * The WP API doesn't currently support filtering taxonomy term collections, * so we have to request all tags and filter them down if we want to get an * individual term. * * To make this request more efficient, it uses the cached sortedTags promise. * * @method tagCached * @param {String} slug The slug of a tag * @return {Promise} A promise to the tag with the provided slug */ function tagCached( slug ) { return sortedTagsCached().then(function( tags ) { return _.findWhere( tags, { slug: slug }); }); } /** * Get an alphabetized list of tags * * @method sortedTags * @return {Array} An array of tag objects */ function sortedTags() { return all( wp.tags() ).then(function( tags ) { return _.chain( tags ) .sortBy( 'slug' ) .value(); }); } function sortedTagsCached() { var tagsPromise = cache.get( 'sorted-tags' ); if ( ! tagsPromise ) { tagsPromise = sortedTags(); cache.set( 'sorted-tags', tagsPromise ); } return tagsPromise; } function getSidebarContent() { return RSVP.hash({ categories: sortedCategoriesCached(), tags: sortedTagsCached() }); } module.exports = { // Recursively page through a collection to retrieve all matching items all: all, // Get (and cache) the top-level information about a site, returning the // value corresponding to the provided key siteInfo: siteInfo, sortedCategories: sortedCategories, sortedCategoriesCached: sortedCategoriesCached, categoryCached: categoryCached, tagCached: tagCached, sortedTags: sortedTags, sortedTagsCached: sortedTagsCached, getSidebarContent: getSidebarContent };

View the code on Gist.

🛠 Custom Routes & Sales Data

Finally, I have cooked in quite a few custom routes from where I can attain any kind of sales related data. For the particular architecture I have in place, I’m again using the RSVP.hash utility for convenience and parallelism. It works like a charm.

The post Build Custom Dashboards with MongoDB, Azure & Serverless Functions appeared first on SitePoint.

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techentry · 5 months ago

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t-baba · 7 years ago

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Build Custom Dashboards with MongoDB, Azure & Serverless Functions

This article was originally published on Ahmad Awais. Thank you for supporting the partners who make SitePoint possible.

TL;DR: I’m building a custom WordPress dashboard for an enterprise client which is powered by React.js on top of Node.js, with MongoDB Atlas as the database.

Custom WordPress Dashboard Goals

👀 High-level Data Reporting

The custom dashboard will report all the high-level data, e.g. things like live sales happening throughout my client’s portfolio (500+ hotels), entity/time-based and date-based breakdowns.

And how each of his franchise performing on a daily, weekly, monthly basis. All of this data is being fed to MongoDB Atlas. More on that later.

⚡ Serverless Automation

An initial rough estimate puts this solution 34% more economical than having a server VM running all the time. We are using Azure Functions for this serverless automation.

🔥 IoT (Internet of Things) Hub

As you might have already guessed, this project makes use of IoT Hub from Microsoft Azure to connect, monitor, and manage all of the IoT assets.

🤖 Machine Learning and Artificial Intelligence

We’re using a lot of different services from Microsoft Azure for the sake of making this dashboard artificially intelligent by Machine Learning.

🕰 Live & Real-time

But at the same time, it’s for the management purposes and doesn’t need to have any impact on the WordPress sites. That is a crucial system design decision for this dashboard.

By that what I mean is we can do all sorts of experiments with this custom dashboard but it shouldn’t have any impact on the database/servers which are running the multi-site WordPress instance.

MongoDB & MongoDB Atlas

♨ Dislike for RDBMS

💸 HDD Is Cheap — CPU/RAM Is Not

Old databases were mostly designed to save disk space, among other things. This led to a plethora of problems like normalization, indexing, and made sharding, auto-scaling, and replication harder.

Nowadays, disk space is dirt cheap. On the other hand, CPU/RAM is not, and your sysadmin costs can skyrocket very quickly if you end up with a bad choice here.

🍀 MongoDB’s Pros

Cost. Depends on which RDBMS of course, but MongoDB is free and can run on Linux, ideal for running on cheaper commodity kits.

🍃 Why MongoDB Atlas?

But I want a fast, secure, and managed MongoDB solution that I can easily scale with the growth of the number of modules we attach in this custom WordPress dashboard. That’s MongoDB Atlas.

🔋 MongoDB Compass

I suggest that you go ahead and download MongoDB Compass. It’s literally the best tool to visualize your MongoDB database. Here’s a set of features:

Visualize and explore: Take a look at your database, find out how things are looking, and even visualize stuff like maps/coordinates.

Insert, modify, and delete: You can also perform CRUD operations for your DB right from MongoDB compass. Makes testing easier.

Debug and optimize: Finally, analyze your data, debug it and even find out about performance issues right inside a great GUI for your database. This tool is a must-have if you work with MongoDB.

Extensible: And the best part is you can build your own plugins to extend MongoDB Compass. Here’s the documentation on building your own Compass plugins.

Enterprise Flavor: MongoDB Compass comes in a few flavors: Community (Free), and Enterprise (Licensed) — the Enterprise version is the one that lets you visualize DB schema.

✅ Getting Started with MongoDB Atlas

Step #1: Go to MongoDB Atlas →

Go to the MongoDB Atlas site and register a completely free MongoDB instance hosted on AWS, with shared RAM and 512 MB storage. Click the Get Started Free button.

Step #2: Sign up at MongoDB Atlas →

Step #3: Create the Cluster

Step #4: Create DB Username & Password

I’m setting the user/pass as usermongo but you know better.

Step #5: Add IP to Whitelist for Access

So, again, head over to the Security > IP Whitelist and click on the + ADD IP ADDRESS button on the right, and finally ALLOW ACCESS FROM ANYWHERE button to allow the anonymous access.

Step #6: Connect via MongoDB Compass

Now that our DB’s IP access and a user has been created, we can pick up the connection string and use it to connect to our database with our MongoDB Compass application.

And you are set to visualize your database, analyze its performance, and even run complete CRUD operations. Awesome! 💯

Now that we have created a MongoDB Atlas and connected it with MongoDB Compass, we can move forward and start building our Node.js application.

WordPress REST API — FTW!

🚀 WordPress Custom Router Based on Express

The router is set up with Express. Here’s a basic error handler and router template for using WordPress with express.

View the code on Gist.

🎚 Basic Express Based Implementation

View the code on Gist.

🦏 Authentication Cooked In

View the code on Gist.

🦁 Site Content Accumulation

And finally, you are able to consume all the content by creating a content service which handles recursively fetching:

All the pages of a paged collection.

Your WordPress site’s info.

An alphabetized list of categories.

A specific category (specified by slug) from the content cache.

An alphabetized list of tags.

A specific tag (specified by slug) from the content cache

Other content required to have some feature parity with WP.

The code for this looks somewhat like this.

View the code on Gist.

🛠 Custom Routes & Sales Data

The post Build Custom Dashboards with MongoDB, Azure & Serverless Functions appeared first on SitePoint.

by Ahmad Awais via SitePoint https://ift.tt/2u9J7bb

#CSS3 #HTML5 Branding #HTML5 Weekly #HTMLl5 demos #Javascript Branding #Javascript Weekly #Mobile #Mo

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repost-reblog-hub1 · 7 years ago

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MongoDB at… last… Just kidding. We are not there yet. Soon we should have this up and running in TableauDesktop. We hope. Connecting an IP to MongoDB is our next step.

BTW Bro: Don’t get blown away that you will need to install drivers to connect to MongoDB. I figured I would tell you now that it’s standard practice to download and install drivers to connect to… practically every database under the sun, son.

This demo has two different directions, depending on what you want to do! Are you going to let anyone access your Cluster? Or are you going to just allow one or two IPs to connect to your instance?

Not sure how to get your IP address?

BroTip: Ask your client to use, www.ipchicken.com, it should work. Get that IP, plug it in, and follow these steps!

Is your MongoDB Atlas public facing or not public facing? MongoDB Atlas has a bunch of popups, not exactly user-friendly, and we will just focus on one for this tutorial.

TLDR: You, as a person, only need to focus on one thing at a time to accomplish most things in technology. Today, we will pick the IP Whitelist or Allow all options. Also, in case you’re messing around or accidentally make some clicks — I show how to delete access too. You really can’t go wrong at this point — it’s okay to play around with this software to understand what is happening. You don’t have any proprietary data uploaded at this point, you’re safe to make a mistake and at the end — I’m showing you how to get rid of the mistakes.

See this on the top? It’s talking about your access and connecting your app.

Chances are, you’re not connecting an app because you’re following along to my droning on about this like a super-cool-dude.

Okay, perfect, excellent. Ready to begin?

Giving access to your MongoDB Atlas Clusters.

Giving access is quick and easy, the user experience is a little wonky, but follow along and get through this. It’s the most important step when seeking to generate a cloud data source. Access to your MongoDB Atlas Cluster is necessary to offer end users a reporting data hub.

Go ahead and click show me how, and dive into the next menu. If you lost the popup, you’re clicking too much. Click Connect on the overview tab. And stop clicking so much ;). Mr/Mrs.FastClickerMcClickySon.

Allow access from anywhere on MongoDB?

Are you eager to make this a public data source? Yes or No?

Follow along, depending on your choices, and don’t make your company data public facing.

If you want it public facing, click ALLOW ACCESS FROM ANYWHERE.

Allow access anywhere looks funky after you select this button, it seems as if it’s not going to take. So from me to you. It takes. And they confirm this to you VIA email. For Gmail.com users, check your UPDATE tab.

After you submit it. It looks like 0.0.0.0/0 whatever, you get an email, and that’s all you need to get it public facing. Easy enough, right? You haven’t done any programming and you’ve generated a 3 node cluster.

If you don’t want MongoDB Atlas public facing…

Whitelist — MongoDB Atlas only allows client connections to the cluster from entries in the project’s whitelist. To connect, you must add an entry to the whitelist. To set up the whitelist for the project, see Add Entries to the Whitelist.

To add to the whitelist, click CONNECT, this is also the option to add your personal IP or Allow Access from Anywhere.

If you didn’t mean to add your IP or accidentally did your Allow Access from Anywhere button, you can erase it pretty quickly. Regrettably, you can’t find that from the ‘connect’ button above.

Deleting IP’s or Allow Access from Anywhere from MongoDB Atlas.

You’re probably on the Overview tab. To remove your IP, someone else’s IP, or remove the Allow Access 0.0.0.0 thingy… You need to follow along.

Click Security.

Click IP Whitelist.

Find the IP you wish to DELETE.

Under Actions, click DELETE.

Screenshot walkthrough:

Hopefully, by now you’re comfortable with some of the security functions on your MongoDB Atlas clusters.

To put it simply: Without giving the IP address access, your entire installation is similar to a website without any SEO linkage pointing at it. It’s a cluster of coolness — in the middle of nowhere. Sitting on an AWS instance without any users. So, hopefully, this little paragraph warns you that without ADD IP ADDRESS….

You will not be able to your cluster. TTYL — Mr/Mrs.FastClickerMcClickySon.

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Step 4:… you’re on step 4. And you’re winning.

Step 5: Next steps! Install MongoDB Compass. Woohoo.

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lupbiy · 8 years ago

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Whatâs New in MongoDB 3.4, Part 3: Modernized Database Tooling

Welcome to the final post in our 3-part MongoDB 3.4 blog series.

In part 1 we demonstrated the extended multimodel capabilities of MongoDB 3.4, including native graph processing, faceted navigation, rich real-time analytics, and powerful connectors for BI and Apache Spark

In part 2 we covered the enhanced capabilities for running mission-critical applications, including geo-distributed MongoDB zones, elastic clustering, tunable consistency, and enhanced security controls.

We are concluding this series with the modernized DBA and Ops tooling available in MongoDB 3.4. Remember, if you want to get the detail now on everything the new release offers, download the Whatâs New in MongoDB 3.4 white paper .

MongoDB Compass

MongoDB Compass is the easiest way for DBAs to explore and manage MongoDB data. As the GUI for MongoDB, Compass enables users to visually explore their data, and run ad-hoc queries in seconds â all with zero knowledge of MongoDB's query language.

The latest Compass release expands functionality to allow users to manipulate documents directly from the GUI, optimize performance, and create data governance controls.

DBAs can interact with and manipulate MongoDB data from Compass. They can edit, insert, delete, or clone existing documents to fix data quality or schema issues in individual documents identified during data exploration. If a batch of documents need to be updated, the query string generated by Compass can be used in an update command within the mongo shell.

Trying to parse text output can significantly increase the time to resolve query performance issues. Visualization is core to Compass, and has now been extended to generating real-time performance statistics, and presenting indexes and explain plans.

Figure 1: Real-time performance statistics now available from MongoDB Compass

The visualization of the same real-time server statistics generated by the mongotop and mongostat commands directly within the Compass GUI allows DBAs to gain an immediate snapshot of server status and query performance.

If performance issues are identified, DBAs can visualize index coverage, enabling them to determine which specific fields are indexed, their type, size, and how often they are used.

Compass also provides the ability to visualize explain plans, presenting key information on how a query performed â for example the number of documents returned, execution time, index usage, and more. Each stage of the execution pipeline is represented as a node in a tree, making it simple to view explain plans from queries distributed across multiple nodes.

If specific actions, such as adding a new index, need to be taken, DBAs can use MongoDBâs management tools to automate index builds across the cluster.

Figure 2: MongoDB Compass visual query plan for performance optimization across distributed clusters

Document validation allows DBAs to enforce data governance by applying checks on document structure, data types, data ranges, and the presence of mandatory fields. Validation rules can now be managed from the Compass GUI. Rules can be created and modified directly using a simple point and click interface, and any documents violating the rules can be clearly presented. DBAs can then use Compassâs CRUD support to fix data quality issues in individual documents.

MongoDB Compass is included with both MongoDB Professional and MongoDB Enterprise Advanced subscriptions used with your self-managed instances, or hosted MongoDB Atlas instances. MongoDB Compass is free to use for evaluation and in development environments. You can get MongoDB Compass from the download center, and read about it in the documentation.

Operational Management for DevOps Teams

Ops Manager is the simplest way to run MongoDB on your own infrastructure, making it easy for operations teams to deploy, monitor, backup, and scale MongoDB. Ops Manager is available as part of MongoDB Enterprise Advanced, and its capabilities are also available in Cloud Manager, a tool hosted by MongoDB in the cloud. Ops Manager and Cloud Manager provide an integrated suite of applications that manage the complete lifecycle of the database:

Automated deployment and management with a single click and zero-downtime upgrades

Proactive monitoring providing visibility into the performance of MongoDB, history, and automated alerting on 100+ system metrics

Disaster recovery with continuous, incremental backup and point-in-time recovery, including the restoration of complete running clusters from your backup files

Ops Manager has been enhanced as part of the MongoDB 3.4 release, now offering:

Finer-grained monitoring telemetry

Configuration of MongoDB zones and LDAP security

Richer private cloud integration with server pools and Cloud Foundry

Encrypted backups

Support for Amazon S3 as a location for backups

Ops Manager Monitoring

Ops Manager now allows telemetry data to be collected every 10 seconds, up from the previous minimum 60 seconds interval. By default, telemetry data at the 10-second interval is available for 24 hours. 60-second telemetry is retained for 7 days, up from the previous 48-hour period. These retention policies are now fully configurable, so administrators can tune the timelines available for trend analysis, capacity planning, and troubleshooting.

Generating telemetry views synthesized from hardware and software statistics helps administrators gain a complete view of each instance to better monitor and maintain database health. Ops Manager has always displayed hardware monitoring telemetry alongside metrics collected from the database, but required a third party agent to collect the raw hardware data. The agent increased the number of system components to manage, and was only available for Linux hosts. The Ops Manager agent has now been extended to collect hardware statistics, such as disk utilization and CPU usage, alongside existing MongoDB telemetry. In addition, platform support has been extended to include Windows and OS X.

Private Cloud Integration

Many organizations are seeking to replicate benefits of the public cloud into their own infrastructure through the build-out of private clouds. A number of organizations are using MongoDB Enterprise Advanced to deliver an on-premise Database-as-a-Service (DBaaS). This allows them to standardize the way in which internal business units and project teams consume MongoDB, improving business agility, corporate governance, cost allocation, and operational efficiency.

Ops Manager now provides the ability to create pre-provisioned server pools. The Ops Manager agent can be installed across a fleet of servers (physical hardware, VMs, AWS instances, etc.) by a configuration management tool such as Chef, Puppet, or Ansible. The server pool can then be exposed to internal teams, ready for provisioning servers into their local groups, either by the programmatic Ops Manager API or the Ops Manager GUI. When users request an instance, Ops Manager will remove the server from the pool, and then provision and configure it into the local group. It can return the server to the pool when it is no longer required, all without sysadmin intervention. Administrators can track when servers are provisioned from the pool, and receive alerts when available server resources are running low. Pre-provisioned server pools allow administrators to create true, on-demand database resources for private cloud environments. You can learn more about provisioning with Ops Manager server pools from the documentation.

Building upon server pools, Ops Manager now offers certified integration with Cloud Foundry. BOSH, the Cloud Foundry configuration management tool, can install the Ops Manager agent onto the server configuration requested by the user, and then use the Ops Manager API to build the desired MongoDB configuration. Once the deployment has reached goal state, Cloud Foundry will notify the user of the URL of their MongoDB deployment. From this point, users can log in to Ops Manager to monitor, back-up, and automate upgrades of their deployment.

MongoDB Ops Manager is available for evaluation from the download center.

Backups to Amazon S3

Ops Manager can now store backups in the Amazon S3 storage service, with support for deduplication, compression, and encryption. The addition of S3 provides administrators with greater choice in selecting the backup storage architecture that best meets specific organizational requirements for data protection:

MongoDB blockstore backups

Filesystem backups (SAN, NAS, & NFS)

Amazon S3 backups

Whichever architecture is chosen, administrators gain all of the benefits of Ops Manager, including point-in-time recovery of replica sets, cluster-wide snapshots of sharded databases, and data encryption.

You can learn more about Ops Manager backups from the documentation.

MongoDB Atlas: VPC Peering

The MongoDB Atlas database service provides the features of MongoDB, without the operational heavy lifting required for any new application. MongoDB Atlas is available on-demand through a pay-as-you-go model and billed on an hourly basis, letting developers focus on apps, rather than ops.

MongoDB Atlas offers the latest 3.4 release (community edition) as an option. In addition, MongoDB Atlas also now offers AWS Virtual Private Cloud (VPC) peering. Each MongoDB Atlas group is provisioned into its own AWS VPC, thus isolating the customerâs data and underlying systems from other MongoDB Atlas users. With the addition of VPC peering, customers can now connect their application servers deployed to another AWS VPC directly to their MongoDB Atlas cluster using private IP addresses. Whitelisting public IP addresses is not required for servers accessing MongoDB Atlas from a peered VPC. Services such as AWS Elastic Beanstalk or AWS Lambda that use non-deterministic IP addresses can also be connected to MongoDB Atlas without having to open up wide public IP ranges that could compromise security. VPC peering allows users to create an extended, private network connecting their application servers and backend databases.

You can learn more about MongoDB Atlas from the documentation.

Next Steps

As we have seen through this blog series, MongoDB 3.4 is a significant evolution of the industryâs fastest growing database:

Native graph processing, faceted navigation, richer real-time analytics, and powerful connectors for BI and Spark integration bring additional multimodel database support right into MongoDB.

Geo-distributed MongoDB zones, elastic clustering, tunable consistency, and enhanced security controls bring state-of-the-art database technology to your most mission-critical applications.

Enhanced DBA and DevOps tooling for schema management, fine-grained monitoring, and cloud-native integration allow engineering teams to ship applications faster, with less overhead and higher quality.

Remember, you can get the detail now on everything packed into the new release by downloading the Whatâs New in MongoDB 3.4 white paper.

Alternatively, if youâd had enough of reading about it and want to get started now, then:

Download MongoDB 3.4

Alternatively, spin up your own MongoDB 3.4 cluster on the MongoDB Atlas database service

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techentry · 5 months ago

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