Startups Using Elastic Beanstalk in Boston
Via their job posts and information submitted by startups themselves, these are the Boston Elastic Beanstalk startups we've found.
Interested in other technologies? Browse or search all of the built-in-boston tech stacks we've curated.
Competition marketplace for architecture, landscape design, and interior design.
Knowledge management tools for scientists.
Tech Stack Highlights
Ruby on Rails – We’re a Ruby on Rails application running on Heroku with PostgreSQL as our primary database and Redis available for ephemeral data. We use the Fastly CDN for our assets and Cloudinary for file management, in particular, image management. For search, we leverage Postgres’s full-text search with the pg_search gem.
Segment and Redshift – We use Segment to collect analytics about the usage of our app. We use their analytics-ruby gem and analytics.js library for back-end and front-end analytics respectively. We then leverage them to pipe the data into an Amazon Redshift data warehouse where we can analyze the data. Recently implemented Chartio to visualize that data with dashboards.
CircleCI – We use continuous deployment as our deployment strategy. Every pull request is code reviewed in GitHub and deployed to an integration environment where it’s available for the reviewer, the developer, and anyone else in the organization to test and review. Additionally, we have a suite of thousands of unit tests built on MiniTest and feature tests built on Capybara, running continuously on every commit with CircleCI. Assuming it passes all our checks, manual and automated, it’s then merged into master and deployed to production by Heroku.
Tech Stack Highlights
ElasticSearch – At the heart of it’s product, Traackr is a search engine. We leverage ElasticSearch for it’s relative simplicity of deployment while providing incredible powerful and fast search results even when used with complex queries against billions of documents.
AWS – As a SaaS business with the need flexibility to deploy new solutions or scale existing systems rapidly. AWS gives us that advantage and offer many complementary services to build advanced system quickly.
Git – “Just the code repo” right? With a distributed team and an agile process, git is very important to us. From Pull Requests for code review to CI and automatic deployments, git is always in the middle of it.
MongoDB – This NoSQL database has been a lifesaver for us. Easy to get started with it, the document model allowed us to scale quickly at the beginning when we were just discovering how to best index the unstructured (aka messy) web.
PHP/CakePHP – Good old boring PHP! Maybe not the most fancy language these days, but the incredible amount of libraries available and its sheer robustness (thousand of sites are build on it, hundred of thousand of developer are fluent in it) makes it a champion to build a production and enterprise ready solution.
Personalized college admissions mentoring & support tools.
Language learning games.
Mobile commerce apps for retailers.