I use Netlify for all of my projects for the ease of setup and the huge Developer Experience they offer. From Netlify CLI, to the newly announced Netlify Analytics, we have no issues with Netlify and scaling is possible to a certain degree. We connect Netlify with our GitHub Repos and let all branches build to get a Preview. Also we connected our Domain with ease to it and were able to have the page be shown on our domain.

One of our top priorities at Pinterest is fostering a safe and trustworthy experience for all Pinners. As Pinterest’s user base and ads business grow, the review volume has been increasing exponentially, and more content types require moderation support. To solve greater engineering and operational challenges at scale, we needed a highly-reliable and performant system to detect, report, evaluate, and act on abusive content and users and so we created Pinqueue.

Pinqueue-3.0 serves as a generic platform for content moderation and human labeling. Under the hood, Pinqueue3.0 is a Flask + React app powered by Pinterest’s very own Gestalt UI framework. On the backend, Pinqueue3.0 heavily relies on PinLater, a Pinterest-built reliable asynchronous job execution system, to handle the requests for enqueueing and action-taking. Using PinLater has significantly strengthened Pinqueue3.0’s overall infra with its capability of processing a massive load of events with configurable retry policies.

Hundreds of millions of people around the world use Pinterest to discover and do what they love, and our job is to protect them from abusive and harmful content. We’re committed to providing an inspirational yet safe experience to all Pinners. Solving trust & safety problems is a joint effort requiring expertise across multiple domains. Pinqueue3.0 not only plays a critical role in responsively taking down unsafe content, it also has become an enabler for future ML/automation initiatives by providing high-quality human labels. Going forward, we will continue to improve the review experience, measure review quality and collaborate with our machine learning teams to solve content moderation beyond manual reviews at an even larger scale.

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

This is my stack in Application & Data

JavaScript PHP HTML5 jQuery Redis Amazon EC2 Ubuntu Sass Vue.js Firebase Laravel Lumen Amazon RDS GraphQL MariaDB

My Utilities Tools

Google Analytics Postman Elasticsearch

My Devops Tools

Git GitHub GitLab npm Visual Studio Code Kibana Sentry BrowserStack

My Business Tools

Slack

I own an Escape Room. Since right now everyone is practicing social distancing, I would like to run my Escape Room games virtually. I would like to allow approx 4 users to log in to play. They can chitchat a few minutes before their game to get to know each other. Then once the game begins, I will introduce myself and give them the plot to their escape game. I will have a wide-angle camera mounted to the wall to show the room, and as the game master, carry a tablet or webcam around as players talk to me and direct me to show them certain items in the room, move in for closeups in certain areas, try lock combinations, etc. I will be their hands while they solve the puzzles. I am not sure if Google Hangouts Google Meet or Zoom is better for this. I did try it yesterday using google hangout meet and it was good, but I think there may have been a wifi issue where it was choppy. Just trying to figure out the best option. Thank you! Catherine