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  3. ReadMe.io
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ReadMe.io

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san franciscoreadme.io
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Tools
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Tech Stack

Application & Data

16 tools

Compose logo
Compose
AngularJS logo
AngularJS
Heroku logo
Heroku
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MongoDB
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Node.js
DigitalOcean logo
DigitalOcean
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ExpressJS
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Stylus
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Pug
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Mongoose
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Redis
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CloudFlare
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JavaScript
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NGINX
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Docker
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Replicated

Utilities

7 tools

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Baremetrics
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Slack
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Heap
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Stripe
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Mailgun
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Elasticsearch
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Filestack

DevOps

5 tools

ReadMe.io logo
ReadMe.io
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GitHub
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Logentries
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New Relic
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Airbrake

Business Tools

2 tools

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Intercom
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Clearbit

Team Members

Gregory Koberger
Gregory KobergerFounder
Justina Nguyen
Justina Nguyen

Engineering Blog

Stack Decisions

Gregory Koberger
Gregory Koberger

Oct 3, 2018

We went with MongoDB , almost by mistake. I had never used it before, but I knew I wanted the *EAN part of the MEAN stack, so why not go all in. I come from a background of SQL (first MySQL , then PostgreSQL ), so I definitely abused Mongo at first... by trying to turn it into something more relational than it should be. But hey, data is supposed to be relational, so there wasn't really any way to get around that.

There's a lot I love about MongoDB, and a lot I hate. I still don't know if we made the right decision. We've been able to build much quicker, but we also have had some growing pains. We host our databases on MongoDB Atlas , and I can't say enough good things about it. We had tried MongoLab and Compose before it, and with MongoDB Atlas I finally feel like things are in a good place. I don't know if I'd use it for a one-off small project, but for a large product Atlas has given us a ton more control, stability and trust.

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