Reducing Elixir Backend Time From 120ms to 20ms With Parallelization
At Teachers Pay Teachers, we take performance seriously since it is widely accepted that performance delights users, increases Search Engine rankings and improves conversion rate. In this post, we’ll talk about how we reduced our product page upper 90th percentile response time from 120ms to 20ms. To begin, you should take a look at an example product page and note the types of information display
Challenges faced while scaling to serve millions of views per day on AWS using Kubernetes, React, PHP, and Elixir
Here at Teachers Pay Teachers (or TpT, as we call it) we’ve been in the process of migrating our website from a PHP monolith to a microservice based architecture utilizing React, Phoenix and GraphQL. To date, this migration has delighted our community of educators with it’s myriad of UX improvements. We're able to objectively measure these improvements with our A/B testing infrastructure which als
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Streaming Video Infrastructure on TpT using EvaporateJS, Verk, AWS, PHP, and Kaltura
