Show notes
In this episode of Running in Production, Dan Kolbman goes over usingDjango to build an internal tool that helps make sense of ~5 Petabytes ofGenomic data that is then made available to clinicians. Itβs running acrossmany different AWS resources using ECS Fargate.Dan walks us through what their app does, dealing with loads of data, usingGraphQL, getting away from using Serverless and going mostly all-in with AWS.Their apps are open source too. The ones weβll be talking about are on GitHubhere andhere.Topics Include 54:21 β You can find Dan on GitHub and his personal websiteLinksπ References https://www.nih.gov/ https://aws.amazon.com/athena/ https://www.nomadproject.io/βοΈ Tech Stack django → python → apollo → aws → circle-ci → cloudfront → docker → ecs → elasticache → fargate → graphql → jenkins → netlify → open-source → postgres → rds → redis → s3 → ses → slack → terraform → π Libraries Used https://github.com/encode/django-rest-framework https://github.com/graphql-python/graphene https://github.com/rq/django-rqSupport the ShowThis episode does not have a sponsor and this podcast is a labor of love. If you want to support the show, the best way to do it is to purchase one of my courses or suggest one to a friend. Dive into Docker is a video course that takes you from not knowing what Docker isto being able to confidently use Docker and Docker Compose for your own apps.Long gone are the days of "but it works on my machine!". A bunch of followalong labs are included. Build a SAAS App with Flask is a video course where we build a realworld SAAS app that accepts payments, has a custom admin, includes high testcoverage and goes over how to implement and apply 50+ common web app features.There's over 20+ hours of video.

