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Our favorite thing to do around here is find the hottest and most exciting new developer tools and share them with you. If you , you’re getting the inside scoop every week! But let’s take a moment at the end of another month to celebrate the most popular new tools added in all of February. subscribe to our weekly newsletter These are the top 10 new tools added to the StackShare database in February 2018. #1: Haiku Build and design cross-platform UIs and Animations “Haiku lets you design & build interactive, visually stunning UIs,” says creator Zack Brown. “Haiku has a lot in common with After Effects and Flash: it’s a timeline-powered animation tool that supports interactions through code — but unlike After Effects it’s intended for designing UIs, and unlike Flash, it’s built on open standards and an open source, hackable renderer & file format. Haiku is all about bringing design and code closer together.” | View Website View Tool Profile #2: Rekit Toolkit for building scalable web applications with React, Redux and React-router Nate Wang created Rekit because he felt creating a React Redux app required too much verbose boilerplate code. “Rekit helps to generate them automatically and refactor them easily,” he says. “It’s very important to keep a web app project readable, understandable and maintainable when it scales. Rekit suggests an opinionated pattern to organize files and folders in a scalable way and provides IDE/tools to help you always follow the approach. ” How does Rekit compare to similar tools, and how is it better? Wang says “Rekit studio is an IDE that understands your web projects; it knows features, components, actions and routing rules so it can show and manage them in a meaningful way, while other IDEs are more like just code editors which only know folders, files.” | View Website View Tool Profile #3: Docusaurus Easy to maintain open source documentation websites Facebook engineer Joel Marcey his team created Docusaurus for a number of reasons: says To put the focus on writing good documentation instead of worrying about the infrastructure of a website. To provide features that many of our open source websites need like blog support, search and versioning. To make it easy to push updates, new features, and bug fixes to everyone all at once. And, finally, to provide a consistent look and feel across our all our open source projects. “At Facebook,” says Marcey, “Docusaurus allows us to quickly get different projects up and running with documentation websites, especially for teams who don’t have much experience with web development or primarily want a basic site to showcase their project.” | View Website View Tool Profile #4: Proton Native A React environment for cross platform native desktop app Gustav Hansen initially created Proton Native “because I had to create a complex GUI for another project, and I didn’t understand why something so simple became so hard. I had close to a 1K lines of code for something that was repetitive and not too complex. I tried creating it in PyQt, but it became a mess.” Hansen had already used React a lot and loved the workflow, so “I decided to see if anyone had done something like that for desktop. I couldn’t find anything, so I made my own. It quickly morphed into a response to the bloat of Electron and the split in developing for desktop.” | View Website View Tool Profile #5: Apache OpenWhisk A serverless, open-source cloud platform Apache’s OpenWhisk homepage describes the tool this way: “As a developer there’s no need to manage the servers that run your code. Apache OpenWhisk operates and scales your application for you. Spend your time innovating, not configuring infrastructure. Plus, you only pay for what your app uses and needs at that moment.” | View Website View Tool Profile #6: Maze Create missions that testers will perform on your InVision prototype, and learn how your product’s design can be improved with zero lines of code. “Too many businesses are wasting insane amounts of time and money building features just to realize that the design simply doesn’t work,” says Maze creator Jonathan Widawkski. “This leads to frustration as teams end up rebuilding features instead of implementing new ones. “We realised that there was a way to collect data much earlier in the process: performing quantitative user testing at the prototype phase to iterate quickly and effectively until your design is proven. This is why we created Maze: an affordable analytics and testing solution built on top of your InVision’s prototype.” Further, he says, “Maze is based on the tools designers already use (InVision) and doesn’t require testers to install anything.” | Visit Website Visit Tool Profile #7: Blazor An experimental web UI framework using C#/Razor and HTML, running in the browser via WebAssembly Blazor creator Steve Sanderson of Microsoft built Blazor as a web framework that utilizes Web Assembly to run .NET in any browser. “Blazor is currently an experimental project and in the early stages of development…there isn’t a download available at this time.” But “if you’re keen, you can clone the repo, build it, and run the tests.” | View Website View Tool Profile #8: dotmesh Capture, organize, and share application states using a git-like CLI Creator Luke Marsden says “We created dotmesh because data is missing from the circle of control: while managing code changes with version control, automated tests, and CI is obvious to modern developers, and managing cloud resources with declarative tools like Terraform is obvious to modern DevOps, the data in your app is left in the cold. With dotmesh, you can capture the state of multiple microservices’ data stores in a single commit and branch and push/pull them between stages of the software lifecycle such as dev, CI, staging and (soon) production.” While intentionally similar to Git in terms of interaction patterns and command (to ensure it’s familiar to developers), Marsden says dotmesh is different in three important ways. “Firstly it supports efficiently snapshotting large databases (e.g. a Postgres database), which Git just isn’t set up to support; secondly it supports a feature called subdots, which enable more than one data store to be captured in a single commit so that you can capture the state of an entire app in one go, even if it’s a microservices app with polyglot persistence; and thirdly it supports clustering out of the box, meaning that it can operate either on a single docker host (e.g. Docker for Mac on your laptop) all the way up to your production Kubernetes cluster (e.g. on GKE).” Find out more in dotmesh’s and “Please give us feedback on Slack; as a new startup we’re very keen to hear feedback from users!” docs | View Website View Tool Profile #9: PopcornNotify Send simple emails and text messages from one API “It’s common for developers to want to send notifications from their code,” says PopcornNotify creator Jason Strauss. “There are tools for sending emails and SMS, but they take a bit of configuration: buying phone numbers, verifying domains, etc. “Those configurations are really important when communicating with your users, but unimportant for internal messages, like ‘The server is down’ or ‘Your long script has finished running.’ I built PopcornNotify because I have several small projects and internal tools, and I wanted a simple, automated way to send myself messages from them.” | View Website View Tool Profile #10: Airtap Test your JavaScript in 800+ browsers “Airtap is different than other cross browser test runners in its simplicity and ability to easily run your test suite in many browsers without having them installed locally. It lets you iterate quickly during development and provide good browser coverage before release without worrying about missing a supported browser.” | View Website View Tool Profile If you use and love any of these new tools, be sure to add them to your Stack and to your feed! Now let’s gear up for another month of new tools! News Originally published at stackshare.io .

Top 10 New Developer Tools of February

React was named our in the Application & Data Category, and the buzz just keeps growing in 2018. At StackShare we keep our finger on of the hottest tools in the industry, and it seems like something new and exciting is happening in the React world every day! Top Developer Tool of 2017 the pulse Here are the top 10 February React articles from across the web, as hand-curated by the StackShare team using data from . StackShare News Want to keep up? Just add React to and you’ll be as on top of it as we are. your customized newsfeed #1: What’s new in React 16.3(.0-alpha) Bartosz Szczeciński’s Medium post outlining all the “biggest, most interesting changes” in the newest alpha release of React has nearly 8k claps. | View Reddit Discussion View More React News #2: Some great React components, libraries, and tools for 2018 “A curated collection of useful and popular React.js UI components, tools and libraries for building your next amazing app in 2018.” | View Reddit Discussion View More React News #3: Top 10 ReactJS Open Source Projects of February (by Mybridge) This new monthly series by Mybridge AI ranks the top open source React projects on GitHub based on a variety of factors. Some of these projects were so cool we had to add them to the StackShare database (check out and ). Docusaurus React Easy State | View Reddit Discussion View More React News #4: React’s new Context API Ken C. Dodds wrote this post about the new Context API in React, and why you shouldn’t (necessarily) be afraid to use it. | View Reddit Discussion View More React News #5: Build a Progressive Web App using React Aman Mittal’s guide walks you step by step through building a simple PWA with React. | View Reddit Discussion View More React News #6: Introducing Rekit Studio: a real IDE for React and Redux development Nate Wang announced the stable release of Rekit Studio, “a complete IDE for React, Redux, and React Router development.” And yes, of course it’s ! If you’ve used it, add it to your stack now! on StackShare | View Reddit Discussion View More React News #7: Free Course — Learn React by building an app to help you find the best movie to watch If you’re not already on the React train, this is a great program for those of us who learn by doing. Build a simple app with CodeCamp’s free tutorial. | View Reddit Discussion View React News #8: How I Shipped a Neural Network on iOS with CoreML, PyTorch, and React Native From Stefano J. Attardi: “This is the story of how I trained a simple neural network to solve a well-defined yet novel challenge in a real iOS app.” | View Hacker News Discussion View React News #9: React patterns you should know João Miguel Cunha reminds us: “React is just JavaScript!” This post goes through some common problems and gives examples of how you can use patterns to solve them. | View Reddit Discussion View React News #10: Developing Games with React, Redux, and SVG — Part 2 This blog post by Auth0 is the second in a series that walks you through developing a React game called Aliens, Go Home! | View Reddit Discussion View React News React Tweet of the Month More! Get all the React news, every day, at . StackShare News StackShare News is the best place to stay up to date every single day on what’s happening with your favorite developer tools. It’s the newsfeed customize, so you can keep up with all the tools you use and love (and none of the ones you don’t). Check it out and build your own ! you here Originally published at stackshare.io .

React Roundup: Top 10 Articles in February

Top 50 Developer Tools of 2017 🏆

Originally posted on StackShare About Opendoor Unless you’re in San Francisco or New York, selling your home is a giant headache that typically lasts three months. removes the headache — go online, ask for an offer, answer a few questions and we’ll buy your home directly from you. We’ll take it from there and deal with selling the home to another buyer while you can go on with your life. Opendoor Right now we operate in Phoenix, Dallas, and Las Vegas. We’ve completed over 4,800 real estate transactions — over $1B in homes. For a company about to turn 3 years old, it’s pretty crazy how far we’ve come. There’s a lot that goes into one real estate transaction. First, there’s what you might consider our core engineering challenge: making an accurate offer on each home. If we offer too much, we’ll lose money and go out of business; if we offer too little, we’ll seem like scammers and offend our customers. After we buy the home, we’ll work with contractors to do any necessary repairs and touch-ups, then put the home on the market and find a buyer. Since we own every home, we can do clever things like putting smart locks on all the doors and offering all-day open houses. I’m a frontend engineer, and mainly like to work on the consumer-facing website. I’m currently working on improving the experience for first-time home buyers. The process can be really scary for people who don’t know anything about real estate. Engineering Organization Our team is split between product engineering and data science: the tools used by each team are different enough that the teams work in separate code bases. Of course, the resulting product has to be well-integrated, and the product team pulls a lot of data from data science APIs. This coordination is tricky to get right; Kevin Teh from the data science team wrote about it in some detail in . a recent post At first, we split the product team into “customer-facing” and “internal tools” groups. It was nice to have all the frontend engineers on the same team, but we noticed that some projects didn’t have clear owners. For example, our buyer support team uses some internal tools we’ve built. Should those tools be developed by the “internal tools” team, or is support part of the customer experience? Now the team is split into cross-functional teams based around parts of the business. The Seller team handles people selling to us; the Homes team handles renovations and inventory; and the Buyer team puts our homes on the market and finds buyers. As we grow, the lines between teams often get blurry, so we expect that the structure will always be evolving. It’s common for engineers to move between teams, including between the product and data science teams. Product Architecture We started in 2014 with a monolith and frontend, both of which were good ways to move fast while we were very small. Ruby on Rails Angular The MVP of our customer-facing product was a multi-page form where you could enter information about your home to get an offer, but that was just the tip of the iceberg. We had to build internal tools to help our team correctly price homes and manage the transaction process. We used and to build out those tools; the main goal was to add features quickly, without fiddling around with CSS — in fact, without requiring any frontend experience at all. Angular Bootstrap We use as our webserver, and for our database — one big benefit is the extension for location data. runs our asynchronous jobs with support from . shows up everywhere in our internal tools. We use to build our frontend apps, and serve them using the Rails Asset Pipeline. Puma Postgres PostGIS Sidekiq Redis Elasticsearch Webpack We use to store photos of our homes, as well as most of the icons and illustrations around our site. We mainly use Imgix’s auto-resizing feature, so we never lose track of our original images, but can later load images of appropriate size for each context on the frontend. Imgix Monolith to Microservices Where appropriate, we try to break isolated logic out into microservices. For example, we’re working on a service which calculates our projected costs and fees. Our cost structure changes frequently, and we want to estimate how policy changes might affect our fees. This code wasn’t a great fit for the Rails app because we wanted it to be accessible to our analysts and data scientists as well. We’ve now split this logic out into its own service. It uses a version-history-aware computation graph to calculate and back-test our internal costs, and (soon!) will come with its own frontend to visualize those calculations. React Our data science stack is also a fully separate set of services, so there’s a lot of inter-app communication going on. To let these services authenticate to one another, we use an app called . Opendoor engineer Dan Neighman wrote and open-sourced Paladin, and explains why it’s helpful in . Authentication is based on JWTs provided by and . Elixir Paladin this blog post Warden Guardian Data Science Architecture I’ve always found data science at Opendoor interesting because it’s not the “grab as much data as you possibly can, then process it at huge scale” problem I’m used to hearing about. To find the price of a house, you look at nearby homes that sold recently, then squeeze as much information out of that data as you possibly can by comparing it to what you know about the market as a whole. . Our co-founder Ian Wong has a more in-depth talk here We can group most of the data science work into several core areas: Ingesting and organizing data from a variety of sources Training machine learning models to predict home value and market risk Quantifying and mitigating various forms of risk, including macroeconomic and individual house-liquidity Collecting information in a data warehouse to empower the analytics team For data ingestion, we pull from a variety of sources (like tax record and assessor data). We dump most of this data into an database. We also transform and normalize everything at this phase — we’re importing dirty data from sources that often conflict. goes into more detail on how we merge data for a given address. RDS Postgres This blog post For our machine learning model, we use with building blocks from , , and . We use for routing/handling requests. We use to build images and for deployment and scaling. Our system lets us describe a model as a JSON configuration, and once deployed, the system automatically grabs the required features, trains the model, and evaluates how well the model did against performance metrics. . Python SqlAlchemy scikit-learn Pandas Flask Docker Kubernetes This automation lets us iterate really fast We’re starting to use for feature fetching and processing. Other companies often use Spark and Hadoop for this, but we need support for more complex parallel algorithms. Dask’s describes this perfectly: Dask comparison to PySpark post Dask is lighter weight and is easier to integrate into existing code and hardware. If your problems vary beyond typical ETL + SQL and you want to add flexible parallelism to existing solutions then dask may be a good fit, especially if you are already using Python and associated libraries like NumPy and Pandas. The final piece of our data science architecture is the Data Warehouse, which we use to collect analytics data from everywhere we can. For a long time we used a nightly to move data from each service’s database directly into a home-built Data Warehouse. We recently migrated to Google’s instead. BigQuery is faster, and lets us fit more data into each query, but the killer feature is that it’s serverless. We have many people running queries at “peak hours”, and don’t want things to slow down just because we have a preallocated number of servers available. pg_dump Postgres BigQuery High-Tech Open Houses Since Opendoor actually owns all the houses we sell, we can be creative about how we show them to potential buyers. Typically, if you want to see a house for sale, you have to call the listing agent and schedule a time. We realized early on that we could make open houses way more convenient by installing automatic locks on our doors so the homes could be accessed at any time. For version 0 of the project, we literally posted our VP of Product’s phone number on the doors of all our houses — buyers would call in, and he’d tell them the unlock code. For version 1, we added so we could automatically send unlock codes over SMS. For version 2, we built a mobile app. Twilio Customers expect a good mobile experience these days, but our all-day open house feature made it twice as important. You can use the app to find nearby homes as you’re driving around, and explore them on a whim — a huge improvement from the traditional process! We built our app in . A major part of that choice was pragmatic — our team had a lot of experience with web technologies, and almost no experience with native technologies. We also wanted to support both iPhone and Android from early on, and React Native let us do that (we released our app for iPhone first, and adding Android only took an extra couple weeks). React Native Not everyone wants to install an app, so it’s still possible to access our homes via SMS. We’ve added a few security mechanisms — one worth mentioning is , which lets us quickly run identity verification using phone numbers. For riskier numbers, we disable the automatic entry system and have our support team call the customer to collect their information. Blockscore Tools and Workflows We manage our repositories and do code reviews on . All code is reviewed by at least one other engineer, but once it’s in the branch, it’s assumed to be ready to deploy. If you want to deploy your code, you can do it in three steps: GitHub master ./bin/deploy staging Check your work on staging ./bin/deploy production This takes 10–15 minutes in total. We’ve worked hard to automate the process so we can move fast as a team. We use for hosting, and run automated tests on . bots report what’s being deployed. Heroku CircleCI Slack There are a lot of external services we rely on heavily. To run through them briefly: and for emails; and for calls and customer service; for online contract signing; and for system monitoring; for error reporting. Help Scout Dyn Talkdesk Twilio HelloSign New Relic Papertrail Sentry For analytics, we’ve used a lot of tools: for the web, for mobile, for retroactive event tracking. We mainly use for digging into that data and making dashboards. Mixpanel Amplitude Heap Looker Joining Opendoor Engineering Opendoor has a very entrepreneurial, pragmatic culture: Engineers here typically talk with customers, understand their needs, and take the initiative on projects. We’re big on ownership and empowering others, and are aggressively anti-snark. We’re looking for engineers of all backgrounds: it doesn’t matter what languages you work with now, we’re sure you’ll ramp up fast. Find out more about Opendoor jobs on or on our . StackShare careers site Huge thanks to Kevin Teh, Mike Chen, Nelson Ray, Ian Wong, and Alexey Komissarouk for their help putting together this post.

The Stack That Helped Opendoor Buy and Sell Over $1B in Homes

In this blog post, I will guide you through deploying an Amazon Clone application on Aptible, showcasing how this platform can simplify and secure the process. I'll cover essential steps, from creating an Aptible account to provisioning a PostgreSQL database, setting up the backend and frontend applications, configuring environment variables, and deploying your applications. Following this comprehensive guide, developers can gain valuable experience deploying web applications on Aptible, a secure and scalable cloud infrastructure platform. The provided instructions and code snippets will simplify the deployment process and help you understand how to harness cloud infrastructure effectively. Features of the Amazon Clone Built using Next.js Styled with Tailwind CSS Backend generated using Amplication State Management with Zustand Typescript for type safety Login Signup using JWT Tokens API calls using Axios Recharts for charts Next UI for exceptional prebuilt components React Pro Sidebar for a prebuilt excellent sidebar. Admin Panel Table Pagination Functionalities of the Amazon Clone Categories CRUD (Create/Read/Update/Delete) Products CRUD (Create/Read/Update/Delete) Order Management Dashboard for Admin Admin Login User Login & Signup User view products User search products The user adds products to the cart User place order And many more features that you can watch from the video below This blog post is a part of my YouTube video. Check out the fantastic video below: https://www.youtube.com/watch?v=JVVJcFGV5p4&embedable=true Introducing Aptible: Simplify and Secure Your Application Deployment Before diving into the details of deploying your Amazon Clone application on Aptible, let's take a moment to introduce Aptible and understand why it's an excellent choice for hosting your web applications. Aptible is a cloud platform designed to simplify and streamline the Deployment and management of web applications, particularly for developers and teams prioritising security and compliance. With Aptible, you can focus on building and scaling your applications while leaving the complexities of infrastructure, security, and compliance to the platform. One of Aptible's standout features is its commitment to security. It provides robust security controls and compliance certifications, making it an ideal choice for applications that handle sensitive data or need to meet regulatory requirements. Aptible takes care of security updates, data encryption, and access controls, allowing you to focus on your application code. Now, let's get started. Step 1: Create a new Aptible Account. Head to Aptible and click the login button to create a new account and sign up. After signup, you will be redirected to the Aptible Environments page. Step 2: Choose Environment Now, you will see your created environments on this page. What are Environments? Environments live within Stacks and provide logical isolation of resources. Environments on the same Stack share networks and underlying hosts. Now, choose your environment and click on it. This is your environment screen. From here, you can manage your apps and databases, see your activity, backups, and many more settings. Step 3: Provision a new PostgreSQL Database We have used the PostgreSQL Database for our Amazon clone, so let's provision a new Database on Aptible. Click on the Database Tab. Now, you will be able to see the Database screen. You can manage and provision new databases from here in your Aptible Environment. Now click on the New Database button to start creating a new database. You can see the UI change to Choose a database selection as soon as you click it. Now, we need to select a database. Click on the database selection dropdown. It will show you all the supported databases by Aptible. Currently, Aptible supports the following Database types: CouchDB PostgreSQL MongoDB Redis Elasticsearch InfluxDB MySQL SFTP RabbitMQ You can check their supported database page to see if they have added more databases. Now, from the list of databases, select PostgreSQL 14. You can see a field as a database handle when you select it. You can name the database of your choice using this field. We are going to name it. . amazon-db Now click on the button. Save changes Now, Aptible will start provisioning your database. Wait for it to complete. While the database is being provisioned, let's move on to the next step, as this will run in the background and be completed in a few minutes. Step 4: Setup Amazon Clone backend on Aptible Now, let's deploy our backend app on Aptible. Head over to the tab and click on . Apps New App Now, you will see the new app creation window. In this window, you need to provide the name of your app. We are going to name it . amazon-backend Now click on the . Create App button Now, Aptible will start creating your app inside the selected environment. Now, you will need to paste your SSH key in this step. If you want to generate a new SSH key or want to learn how Aptible uses your key, visit . Aptible SSH Docs After pasting your SSH key, click on . This will store your SSH key in Aptible so that you don't have to repeat the process the next time you create an app in Aptible. Save key Now we need to push our code to Aptible's git repo. For this step, we would be required to create a inside the root of our server code. Dockerfile You need to copy the following snippet inside the Dockerfile # Development Dockerfile
# This Dockerfile is intended for development use and includes development dependencies and tools.

# Use a Node.js base image with development tools
FROM node:16.0.0 AS development

# Create a directory where the application will be built
WORKDIR /app

# Copy over the dependency manifests, both the package.json
# and the package-lock.json are copied over
COPY package*.json ./

# Install packages and their dependencies
RUN npm install


# Copy over the Prisma schema
COPY prisma/schema.prisma ./prisma/

# Generate the Prisma client based on the schema
RUN npm run prisma:generate

# Copy over the code base
COPY . .

RUN npx prisma db push
# Create the bundle of the application
RUN npm run build

# Expose a specific port on the Docker container for development purposes
ENV PORT=3000
EXPOSE ${PORT}

# Start the development server using the previously built application
CMD ["npm", "start"] Now open up your terminal and write the following steps: Step 1: Create a git repo git init Step 2: Stage all files git add . Step 3: Commit the changes git commit -m "Initial Commit for backend code. After you have committed your changes, you need to copy the Aptible remote url and add it to your repo. git remote add aptible git@beta.aptible.com:youtube-a32/amazon-backend.git After this step, we must push the code to the Aptible's scan branch. Copy the scan command from Aptible and paste it into your terminal. git push aptible main:aptible-scan Now, this will push our code to Aptible's git repository. Now, in Aptible, it will show you this screen. We can configure our environment variables and DB for the app from here. Let's select a DB. Click on the button. Connect Existing Database Now select the that we created in the previous step and name the environment variable as . amazon-db db_url Now click on the button to start the deployment process. Save and Deploy This will start the deployment process. This process may take a certain time. Wait for it to complete. Now, our app has been deployed successfully. Now, we need to run the docker command. Select the cmd and click on the button. Create Endpoint Now, Aptible will start provisioning your endpoint. Our endpoint was successfully provisioned. Now, let's head over to the endpoint. And you can see that we have successfully deployed our Node server to Aptible. Now, let's do the same for our Next app. Step 5: Deploy Amazon Clone Frontend to Aptible Deploying the front end is quite simple. We will follow all the previous steps and deploy our app to Aptible. You need to replace the file in your next app with the code below. next.config.js /** @type {import('next').NextConfig} */
const nextConfig = {
  reactStrictMode: false,
  env: {
    NEXT_PUBLIC_CLOUDINARY_CLOUD_NAME: "dctahvizk",
    NEXT_PUBLIC_API:"app-61711.on-aptible.com"
  },
  images: {
    domains: ["res.cloudinary.com"],
  },
  // typescript: {
  //   ignoreBuildErrors: true,
  // },
};

module.exports = nextConfig; Here, we have added the environment variable. NEXT_PUBLIC_API Make sure that you replace it with your endpoint. Now, create a new Aptible app and name it . amazon-next-app Before moving forward, let's add the for your next app. Dockerfile # Use an official Node.js runtime as the base image
FROM node:18

# Set the working directory inside the container
WORKDIR /app

# Copy package.json and package-lock.json (if available)
COPY package*.json ./

# Install dependencies
RUN npm install

# Copy the rest of your app's source code
COPY . .

# Build the production version of the app
RUN npm run build

# Expose the port your Next.js app will run on
EXPOSE 3000

# Start your Next.js app
CMD ["npm", "start"] Create the at the root level of your app and paste this code. Dockerfile Now open up your terminal and write the following steps: Step 1: Create a git repo git init Step 2: Stage all files git add . Step 3: Commit the changes git commit -m "Initial Commit for frontend code. After you have committed your changes, you need to copy the Aptible remote url and add it to your repo. git remote add aptible git@beta.aptible.com:youtube-a32/amazon-next-app.git After this step, we must push the code to the Aptible's scan branch. Copy the scan command from Aptible and paste it into your terminal. git push aptible main:aptible-scan Our code was pushed to Aptible. Now, let's deploy it. Click on the button. Save & Deploy Our Deployment was successful. Now, let's run the docker cmd and provision an endpoint. Now, our endpoint was successfully provisioned. Open the endpoint in your browser. And you can see that our Next app was successfully deployed on Aptible. Conclusion In conclusion, this blog post has provided a comprehensive guide on deploying an Amazon Clone application on the Aptible platform. We covered essential steps such as creating an Aptible account, provisioning a PostgreSQL database, setting up the backend and frontend applications, configuring environment variables, and deploying the applications. By following this guide, developers can gain valuable experience in deploying web applications on Aptible, a secure and scalable cloud infrastructure platform. The provided instructions and code snippets simplify the deployment process and help developers understand how to leverage cloud infrastructure effectively. Aptible offers a robust environment for hosting web applications, making it an excellent choice for developers looking to deploy and manage their projects securely. This tutorial equips developers with the knowledge and practical skills needed to take advantage of Aptible's capabilities for deploying web applications.

Deploying a Full Stack Amazon Clone with Next.js, Tailwind CSS, Zustand, and Nest.js on Aptible

148 Stories To Learn About Php

The craze for learning programming languages is very high. These days people have one question in their mind and that is which programming language should one prefer in 2022 and why? So The Themeselection is sharing here the Top 10 Demanding programming languages 2021 . In this detailed article, you will get to know what a specific language offers you and how it is getting into the trends. All these mentioned striking programming languages hold high scopes for the upcoming era. We have made this detailed list of the top 10 striking programming languages 2022 as per the recent survey. For programmers, coders, and other developers seeking development work, it’s never been more important to stay updated on the programming languages being used throughout the world. Although some of these languages share key similarities others require an entirely different level of understanding. Besides, having a deep knowledge of the right programming language can help land the right job or find work in a particular field. If we look at pay-scales then the following were some highest paid languages last year. Credit: Stackoverflow Here we are going to discuss the top 10 striking programming languages for 2022. The list contains the following languages: Rust TypeScript Python Kotlin Go Solidity Dart C/C++/C# Swift Javascript Sources Used: Stackoverflow Stackshare Hired Github Google trends Note: We have prepared this list after researching and observing the performance, demand, and usability of each in 2021. Although, this data may change as data can’t be static. Some languages in the list may seem new to you but we have included them because of the scope they possess. In the end, it depends on users as everyone has different interests and tastes. Also, we did not single out the first and last place. Today, the choice of language depends on the scope. Therefore, the main indicator is the frequency of use in different areas. Now, let’s head to the list…!! Rust Rust is a multi-paradigm programming language designed for performance and safety, especially safe concurrency. While Rust is syntactically similar to C++, one thing that it can guarantee is memory safety by using a borrow checker to validate references. As per the survey, Rust has been for consecutive four years. Impressive, isn’t it? This huge popularity shows that those who have had the opportunity to use Rust have fallen in love with it. Stack Overflow’s most loved language Credit: Stackoverflow Besides, Rust allows you to store data on the stack or on the heap and determines at compile time when memory is no longer needed and can be cleaned up. This allows efficient usage of memory as well as more performant memory access. Companies using Rust: Dropbox Coursera Figma Discord Advantages: Better memory safety due to the compiler Easier concurrency due to the data ownership model that prevents data races Zero-cost abstractions So, both beginners and experienced programmers can kickstart with Rust. In the way it is used, the language is close to established alternatives. TypeScript Typescript is a well-known name. Since its release in 2014, it is growing rapidly and maintaining its place in the list of top 10 striking programming languages 2021. It is developed by Microsoft. Well, it has emerged in response to growing dissatisfaction with JavaScript. Soon after its arrival, It impressed the Google team so much that they began working on developing TypeScript, instead of developing a new language. Credit: Stackoverflow Basically, TypeScript was used as the main programming language for the Angular2 + SPA structure. Even, Vue.js team is also using typescript as they announced in 2018 to develop new versions of its framework. The reason behind its popularity is, it is easy for developers to write and maintain codes. Furthermore, it offers a complete description of each component of the code and can be used for developing large applications with a strict syntax and fewer errors. Companies are diverting towards typescript. Following are some companies that are using typescript. Slack Vox Media medium Accenture ViaVarejo Advantages: Class and Module Support. Static Type-checking. ES6 Feature Support. Clear Library API Definition. Build-in Support for JavaScript Packaging. Syntax Similarity to Backend Languages (Java, Scala, .Net) In addition, it is well-structured and easy to learn. Its extended toolbox makes application development quick. With such benefits it offers, TypeScript is expected to supersede JS in 2020–2021, making it one of the most sought-after programming languages in the future. Nowadays many of the JS frameworks provide support for typescript. You can check and which are made using typescript . Modern Admin - Angular 10+ Bootstrap 4 Admin Dashboard Template Apex Angular Admi Template Python Image credit: Teahub Python is trending nowadays like never before..!! It is the biggest competitor to Javascript. Especially because of the rising trend of AI..!! Most often, Python is used in Data Science, Machine Learning, Web Development, Computer Science Education, Computer Vision, and Image Processing, Game Development. Besides, it is considered one of the easiest software languages to learn and master. Also, Python is undoubtedly the best starting language for beginners. Often named one of the world’s most popular programming languages, Python powers the backend stacks of many startups and is essential in the growing fields of data science and AI Credit: Octoverse.github According to many reports and ratings, is rapidly gaining popularity and has every chance of moving JavaScript from the first place. Many biggies are using python for example: Python Instagram Spotify Amazon Facebook Advantages: Very easy to use and learn Emphases on code readability Wide-ranging library support Open-source programming language Have a good community support Can scale complex applications Build a prototype Credit: Google trends As you can see how python has surpassed javascript in the past 5 years. Besides, it has a very wide range of applications like Web & Desktop Development, Network Servers, Machine Learning, GUI Based Desktop applications, In Enterprise and Business and Data Science, etc. Kotlin was developed by the Jet Brains team in an attempt to find “something better than Java.” Many experts claim that the goal has been achieved. Like Go, Kotlin cannot be called the trendiest programming language. But statistics show that demand is growing. Kotlin The effortless interoperation between Java and Kotlin makes Android development faster and more enjoyable. Since Kotlin addresses the major issues that surfaced in Java, developers have rewritten several Java apps in Kotlin. According to the , is one of the five most popular programming languages in the world. It beat competitors such as Java and Python, giving in only to Go and Scala in its field. Hired rating Kotlin Credit: Hired Companies using KOTLIN Coursera Uber Pinterest Post mates Advantage: A good compiler An Efficient programming language Provides an improved run-time performance Absence of raw types. In addition, the number of Kotlin users in the Github community is growing incredibly fast. According to a report from Octoverse, Kotlin ranks 4th among fast-growing programming languages. Go Well, is the least known of all the programming languages, but that doesn’t mean it is something you neglect..!! It was developed by Google in 2007 for APIs and web applications. Go In the past few years, Go has become one of the fastest-growing programming languages. According to Some programmers, it is a great alternative to Python. Credit: Google Trends As per the latest Report, Go has been going down. Although, it is necessary to draw your attention that Go has been maintaining its position consistently on the list. There may be some break downs but it has grown up to a level where it can’t be ignored…!! Credit: Hired Go is Ideal for minimal web applications, APIs, and web servers. Besides, it includes some features like C-like semantics, memory management, high performance, and modern data structure support. You can use it for system and network programming, big data, machine learning, audio, and video editing, and more. Here are some notable firms that have done so: Google Apple Facebook Docker The New York Times BBC Advantages: It Is Fast Easy To Learn Well-Scaled Comprehensive Programming Tools So, according to the trends and reports, despite its fall in the current time it is wise to keep it in check as it has maintained its popularity over the years. It is possible that Go can rise again. Solidity Now, we would like to pay attention to . Well, this programming language is not in the list of the best version of Stackoverflow or Octoverse. Moreover, it is not into the top 10 Pypl and TIOBE. Similarly, even in hired Solidity did not become one of the most sought. Solidity So, “Why Solidity is on the list?”. As we said at the beginning, one of the major factors is the scope. When interviewing Stackoverflow regarding Blockchain development, most often respondents mentioned this one. It’s a well know fact that demand for over the past year has grown rapidly. By almost by 517%. This technology is completely new because it is not yet very popular. But the benefits of the blockchain and statistics indicate that in the coming years the situation will change radically. Blockchain specialists Blockchain technology has emerged as one of the most promising services in recent years. It holds great potential to transform the workings of the financial sector. Living in a highly digitalized world, a range of large and medium-sized enterprises are exploring blockchain technology services in order to make a place in this competitive market. Thus, the demand for qualified solidity developers will increase. As it is the best for Blockchain today. Therefore, in 2021 the demand for specialists will be very large. This programming language is supported by the fast-growing EOS platform. It is Ethereum’s main competitor. So, If you plan to connect your life with the blockchain, then you must learn exactly Solidity and C++. Dart: Dart is a client-optimized programming language for apps on multiple platforms. It is developed by Google and is used to build mobile, desktop, server, and web applications. Dart is an object-oriented, class-based, garbage-collected language with C-style syntax. Dart can compile to either native code or JavaScript. Before Google announced Flutter, Dart was nowhere to be found. However, since the announcement of Flutter in Google I/O, Dart has got drastic attention among mobile developers as an alternative to React Native. The developers who didn’t like JavaScript as the programming language found Dart as an alternative option. As big companies like Google, , etc adopted Flutter, the popularity of Dart raised considerably. Alibaba Credit: Stackoverflow Advantages: It is open-source. Dart is really flexible Easy to learn It has great tooling support It ensures productivity Dart can be compiled both and . AOT JIT Companies using Dart: Google Useinsider Pickio Agora Besides, Almost every major Text Editor and IDE has great support for the Dart language. You can use heavy IDEs like Webstorm, IntelliJ IDEA, and Android Studio, or use simple editors like VS Code, Sublime Text, Vim, Emacs, Atom, etc. So you are free to choose whatever editor you are comfortable with. C/C++/C Yes, these are three But, as we said, the main focus is the scope. C/C++/C# are equally often used for game development. If you are confused about where to start refer to different programming languages. As we know, the gaming industry is very huge and is gaining more and more momentum every year. Besides, Demand for the quality of games is growing, therefore, qualified developers are always needed. As per the report, about 50% of the world’s population spends time to video games every day. Not only in Gamin Industry but Embedded applications such as robotics, 3d printing, Operating systems, drivers, Desktop applications such as graphics suites, desktop word processors, etc... uses this language. Also, all three of these programming languages occupy fairly high positions in all ratings. So, in the Hired list, they were in 13–15 places Credit: Hired Companies Using C# Delivery Hero Microsoft Accenture ViaVarejo Stack Overflow Companies using C++: Evernote LinkedIn Microsoft Opera NASA Facebook Companies using C: Twitch GitHub Telegram Messenger MasterCard Lime Swift Swift is a general-purpose, multi-paradigm, compiled programming language developed by Apple Inc. and the open-source community, first released in 2014 As name sands for, It is a powerful and intuitive programming language. It is useful for macOS, iOS, watchOS, tvOS, and beyond. Besides, writing Swift code is interactive & fun, the syntax is concise yet expressive. In addition, Swift includes modern features developers love. Swift code is safe by design, yet also produces software that runs lightning-fast. Credit: Stackoverflow As you can see in the report above, it is in the list of top 10 most loved languages 2020..!! And why not? It offers some amazing advantages as follows: Rapid Development Process Easy to Read and Write Requires a lot less code Improved Performance and Safety Easy to Integrate with Objective-C Companies using Swift: Lyft Uber Slack Artsy Credit: Armadsen Furthermore, since Swift is promoted by Apple, its popularity and community support are increasing. In fact, a study of the top 110 apps on the app store showed that 42% of apps are already using Swift. If only the 79 non-game apps are considered, the results are that 57% are using Swift, while 43% are not. Although the Swift community is growing fast, still it is significantly smaller as compared to any other open-source language. According to the latest StackOverflow Developer Survey, only 6.6 percent of the 87.354 respondents use Swift. JavaScript JavaScript is the most famous programming language today. Despite the flaws that triggered the creation of add-ons such as CoffeeScript, Flow, and TypeScript, JS is still the most sought after in many areas. It is widely known for adding interactive elements to web applications and browsers. Most front-end developers prefer JS. However, the Node.js runtime provides significantly more features than just front-end development Credit: octoverse is the most popular language, according to a Stackoverflow survey. The same survey showed that 66% of respondents like to work with JS. 17.8% of respondents want to master JS. JavaScript Credit: Hired As you can see, Javascript is still ruling the software development world..!! Many big companies are using Javascript, for example: Microsoft PayPal Groupon Google And why not..!!? It offers some amazing advantages as follows. Advantage: Runs instantly inside the web browser No compilation requirement Offers a very responsive interface to a website Highly multipurpose languages Simplistic implementation You can check Sneat Bootstrap 5 HTML Admin Template, and both are made using Javascript. Materio Vuetify VueJS Admin Template It can also be used to create animations and control the web interface. Another benefit is its support for all modern browsers. JavaScript can also be used for backend development with the help of Node.js. Conclusion: So, this was the list of the Top 10 Striking Programming languages 2021. As we have covered the 10 significant languages here, there are several that we have not mentioned. But the demand for relevant specialists will be very high. Among them are: Scala Ruby Java Objective-C PHP Well, despite there being some on the list and some are not, it is not necessary that you just go with the flow..!! You can choose the language you feel is more relevant and find it easy to work with. It will be beneficial to learn any of these languages. So, pick your favorite and kickstart your journey…!! About Themeselection: ThemeSelection, provide selected high quality, modern design, professional and easy-to-use premium and free , and UI Kits. bootstrap admin templates You can check which is one of the best free bootstrap admin templates. Chameleon Free Bootstrap Admin Template Also published at https://dev.to/theme_selection/top-10-striking-programming-languages-2021-4d2h

Top 10 Programming Languages To Learn in 2022

New tech terms and lingo are constantly popping up in the development world. It’s hard to keep up! People also love to share and debate about their favorite tech stacks and tools / frameworks. That said, there is no ultimate right or wrong answer when it comes to choosing a tech stack because it really depends on the specific use case it’s meant to solve for. Today, let’s take a look at the HERN stack. Ever heard of it? It’s a new “buzz word” as they say, and I thought it might be helpful to provide some clarity. The HERN stack stands for HarperDB, Express, React, and Node, the four technologies that make up this particular stack, and they’re all written using JavaScript. This is a full-stack solution that follows a common 3-tier architecture (front end, application, and database). As mentioned, there are numerous stacks out there and different factors play a role in the decision around which is right for your specific end goal. Remember that you have the freedom to choose and try different stacks! To make sure we’re all on the same page, Stackshare defines a tech stack as “the set of technologies an organization uses to build a web or mobile application. It is a combination of programming languages, frameworks, libraries, patterns, servers, UI/UX solutions, software, and tools used by its developers.” So as you can see, the combinations and possibilities are endless! What Makes up the HERN Stack? Distributed SQL / NoSQL hybrid database accessed via a REST API. HarperDB : Open source, back end web application framework for Node.js, designed for building web applications and APIs. Express.js : Open source, front end, JavaScript library for building user interfaces or UI components. React.js : Open source, cross-platform, back-end JavaScript runtime environment that executes JavaScript code outside a web browser. Node.js : There are several reasons that these technologies work well together and serve as a great full-stack solution for projects like app development and web development. There are also variants of this stack that would work just as well, such as swapping out and incorporating frameworks like Vue, Angular, or . HEAN, HEVN, HFRN… don’t be afraid to get creative and choose what technologies make the most sense for you! Fastify How Does the HERN Stack Work? Like most tech stacks, this one has a frontend, backend, and database tier. The HERN stack allows you to write everything in Javascript, ultimately simplifying and streamlining the development process. Each component of the HERN stack provides a unique benefit, and data flows naturally through each of the three tiers, enabling rapid development and simple upkeep. ( !) Fun fact - HarperDB is actually the only database that was built from the ground up in Node.js, which you can read more about here Frontend React serves as the frontend or web tier of the HERN stack. Among the many reasons React is , it enables faster development, simplifies coding and integration, and comes with a strong community. The HarperDB was written in React. React has improved the quality of front end development and allowed us to quickly make changes and improvements to our application. taking over frontend development Management Studio HarperDB also provides a great , if that’s your style, or you could make calls directly to HarperDB via our built-in, easy to use API. Either way, you can query data directly from within your client-side application if you choose. are a great place to manage your API calls and how responses are handled within your app. React SDK React Hooks Backend Node.js and Express.js serve as the backend, server, or application tier of the HERN stack. Express essentially operates inside a Node server, as the server-side framework. is a minimal and flexible framework, with numerous HTTP utility methods and middleware at your disposal. Express The idea here is that you build your custom API functions (GET, POST, etc.) with Express to be called by the React front end. These functions then make calls from the server to HarperDB to access and modify the database. You can utilize the HarperDB , which natively supports promises and callbacks. The library makes HarperDB interactions feel more native to JavaScript by exposing each HarperDB operation as a function on the client object. Node.js client Database If you need to store or transport any type of data, which you probably do, you will also need a database. Why not choose the quickest, easiest, and most intuitive database out there? HarperDB provides full document store capability plus enterprise grade ACID-compliant SQL, effectively allowing you to run SQL on JSON. The database is accessed via a single endpoint REST API using SQL and NoSQL operations. HarperDB has simplified much of the work when it comes to database installation, configuration, and administration. It’s really a great option for developers of any skill level. Check out if you’re building in the cloud, or you can also do a local . HarperDB Cloud install on your server Is HERN Your Next Full-Stack Solution? You can essentially build anything with the HERN stack, and it’s especially great for JavaScript developers and projects with lots of JSON data. With a dynamic schema, HarperDB was designed to ingest and handle any type of data at scale. You no longer need to pick a database based on the structure of your data. HarperDB provides the flexibility to work with the frameworks of your choice, and ability to connect to your favorite reporting or analysis tools. Scaling is easy with HarperDB’s clustering and replication features, and our data model, built on top of LMDB, is enabling us to break records on both read and write speeds. HarperDB works extremely well with Express, React, and Node, and with this tech stack you can maximize your time writing code, and work on your project instead of debugging and other administration tasks. Don’t get stuck in your old ways! Try the new HERN, HEAN, or HEVN stack and let us know what you think. We would love to hear what you’re working on! Also published at https://dev.to/harperdb/hern-stack-comin-in-hot-pa6

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