On engineering ladders framework

• Great collection of resources @bmoeskau’s repo

On basic code writing

• https://www.joelonsoftware.com/2000/08/09/the-joel-test-12-steps-to-better-code/

On Computer Science Basics

• https://github.com/aspittel/coding-cheat-sheets

On streaming:

• https://www.oreilly.com/radar/the-world-beyond-batch-streaming-101/
• https://www.oreilly.com/radar/the-world-beyond-batch-streaming-102/

On Data platform enigineering

• http://shop.oreilly.com/product/0636920032175.do

On effortless GCP etl services

• https://blog.getbruin.com/p/exporting-firebase-data-to-bigquery

Publicly accessible datasets:

• https://registry.opendata.aws/

On DevOps:

• https://www.terraform-best-practices.com/

On AWS:

• http://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_testing-policies.html
• https://github.com/doingcloudright

  On Application Networking:

  • https://medium.com/containers-on-aws/using-aws-application-load-balancer-and-network-load-balancer-with-ec2-container-service-d0cb0b1d5ae5

On GCP:

• https://robmorgan.id.au/posts/deploy-a-serverless-cicd-pipeline-on-gcp-using-cloud-run-and-terraform/

On CI/CD:

• https://circleci.com/docs/2.0/ecs-ecr/

Quality Authors

• https://rs.io/100-interesting-data-sets-for-statistics/
• https://rs.io/
• https://alexgaynor.net/ on Python ecosystem, Security in general

Out of the ordinary soul food

• https://www.sciencedirect.com/science/article/abs/pii/S1090513804000261

Borrowed

• https://github.com/balzer82/immoscraper/blob/master/immoscraper.py