The Morning Paper

JULY 7, 2019

Software engineering for machine learning: a case study Amershi et al., More specifically, we’ll be looking at the results of an internal study with over 500 participants designed to figure out how product development and software engineering is changing at Microsoft with the rise of AI and ML.

Software Engineering 92

Software Engineering Engineering Software Software 92

The Netflix TechBlog

DECEMBER 14, 2023

Engineers from across the company came together to share best practices on everything from Data Processing Patterns to Building Reliable Data Pipelines. The result was a series of talks which we are now sharing with the rest of the Data Engineering community!

Data Engineering 265

Data Engineering Engineering Software Engineering Best Practices 265

Smashing Magazine

MAY 17, 2021

How We Improved Our Core Web Vitals (Case Study). How We Improved Our Core Web Vitals (Case Study). I founded Instant Domain Search in 2005 and kept it as a side-hustle while I worked on a Y Combinator company (Snipshot, W06), before working as a software engineer at Facebook. Beau Hartshorne.

Google 111

Google Analytics Serverless Metrics 111

O'Reilly

MARCH 25, 2025

The best practices in those fields have always centered around rigorous evaluation cycles. Were also betting that this will be a time of software development flourishing. One of the great aspects of the AI Age is that more people will be able to build software. This isnt anything new.

Systems 69

Systems Development Tuning Monitoring 69

O'Reilly Software

SEPTEMBER 7, 2018

Pioneered by Netflix, chaos engineering represents a great example of continuing innovation in software engineering practices. This talk covers the pros and cons, along with some best practices and warnings. This journey is another great case study. How will you handle it?"

Software Architecture 64

Software Architecture Architecture Software Software 64

O'Reilly

NOVEMBER 12, 2019

More than a fifth of the respondents work in the software industry—skewing results toward the concerns of software companies, and helping explain the preponderance of those with software engineering roles. As noted earlier, the majority of survey respondents are software engineers. Concluding thoughts.

Serverless 94

Serverless Architecture FinTech Infrastructure 94