InfoQ Culture Methods
FEBRUARY 25, 2021
Machine learning is a powerful new tool, but how does it fit in your agile development? Developing ML with agile has a few challenges that new teams coming up in the space need to be prepared for - from new roles like Data Scientists to concerns in reproducibility and dependency management. By Jay Palat.
Cloudera
AUGUST 31, 2018
We learned a lot about data center automation based on real-time application and diagnostic feedback using applied machine learning. Witnessing these challenges, we focused on solving them through machine learning applied to workload and cluster optimization.
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InfoQ Culture Methods
FEBRUARY 16, 2023
Have you ever wondered about systems based on machine learning? In those cases, testing takes a backseat. And even if testing is done, it’s done mostly by developers itself. A tester’s role is not clearly portrayed. Testers usually struggle to understand ML-based systems and explore what contributions they can make.
InfoQ Culture Methods
FEBRUARY 22, 2022
The article explores optimizing test execution, saving machine resources, and reducing feedback time to developers. Software testing, especially in large scale projects, is a time intensive process.
James Shore
APRIL 27, 2024
What I’m really doing is changing the engineering culture at OpenSesame. Culture doesn’t change easily. I’m hoping this will help direct people to new behaviors, which will in turn start to change the engineering culture. Bigger than a breadbox, anyway. It tends to snap back. This makes room for a lot more skills.
Netflix Tech
MARCH 5, 2019
Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission.
InfoQ Culture Methods
FEBRUARY 24, 2023
In this article, Tariq King describes the metaverse concept, discusses its key engineering challenges and quality concerns, and then walks through recent technological advances in AI and software testing that are helping to mitigate these challenges.
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