Welcome!
Introduction
I DevOps Lessons for Data Science
Chapter 1 Environments as Code
Chapter 2 Data Project Architecture
Chapter 3 Databases and Data APIs
Chapter 4 Logging and Monitoring
Chapter 5 Deployments and Code Promotion
Chapter 6 Demystifying Docker
II IT/Admin for Data Science
Chapter 7 The Cloud
Chapter 8 The Command Line
Chapter 9 Linux Administration
Chapter 10 Application Administration
Chapter 11 Server Resources and Scaling
Chapter 12 Computer Networks
Chapter 13 Domains and DNS
Chapter 14 SSL/TLS and HTTPS
III Enterprise-grade data science
Chapter 15 Enterprise Networking
Chapter 16 Auth in Enterprise
Chapter 17 Compute at Enterprise Scale
Chapter 18 Package Management in the Enterprise
Appendices
A Technical Detail: Auth Technologies
B Technical Detail: Load Balancers
C Lab Map
D Cheatsheets
Biography
Alex leads the Solutions Engineering team at Posit (formerly RStudio). In that role, he has advised hundreds of organizations of all sizes and levels of sophistication to create production-grade open-source data science environments. Before coming to Posit, he was a data scientist and data science team lead and worked on politics, consulting, and healthcare.
