The Netflix TechBlog

FEBRUARY 1, 2022

Most backend engineering teams follow a process very similar to what is shown below. While this is a relatively stream-lined process, it is not as efficient if a candidate is interested in or qualified for multiple roles within the organization. If so, we invite you to begin the interview process.

Engineering 199

Engineering Games Entertainment Innovation 199

The Morning Paper

APRIL 16, 2019

Teaching rigorous distributed systems with efficient model checking Michael et al., Consider the lab exercise to implement Paxos. EuroSys’19. On the surface you might think today’s paper selection an odd pick. 175 undergraduates a year currently go through this course. So DSLabs also uses model checking. of the paper).

Systems 43

Systems Efficiency Testing Strategy 43

SQL Server According to Bob

JUNE 27, 2016

We are a bit wiser (you could take that as older) now and we don’t wait until 5 o’clock but we still try everything we can think of to exercise the code. I am working on parts of SQL OS such as scheduling to make sure SQL Server, specifically SQL OS, runs efficiently on Windows and Linux.

Servers 40

Servers Games Azure Software Engineering 40

O'Reilly

OCTOBER 19, 2021

This is both frustrating for companies that would prefer making ML an ordinary, fuss-free value-generating function like software engineering, as well as exciting for vendors who see the opportunity to create buzz around a new category of enterprise software. All ML projects are software projects.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

Strategic Tech

FEBRUARY 16, 2022

Two particularly relevant patterns are Efficiency Enables Evolution and Higher Order Systems Create New Sources of Worth. In Wardley lingo, Google Maps is so efficient that it acts as a building block for higher-order systems (e.g. A good engineering organization moves at speed with high reliability.

Innovation 52

Innovation Speed Google Strategy 52

Strategic Tech

DECEMBER 12, 2019

In software, reacting to unforeseen circumstances in real-time is not possible. The gap between defining business requirements and translating them into software needs to be minimised in order to prevent this category of problems. In the software system, we need to decide the business transaction boundaries aka DDD Aggregates.

Healthcare 10

Healthcare Software Architecture Database Software 10