Dynatrace

MAY 23, 2024

Stream processing One approach to such a challenging scenario is stream processing, a computing paradigm and software architectural style for data-intensive software systems that emerged to cope with requirements for near real-time processing of massive amounts of data.

Engineering 180

Engineering Tuning Latency Open Source 180

Strategic Tech

MARCH 16, 2021

There are a few qualities that differentiate average from high performing software engineering organisations. I believe that attitude towards the design of code and architecture is one of them. The same mindset should also be applied to architecture; involve the whole team and challenge the small details.

Software Engineering 80

Software Engineering Design Engineering Software 80

O'Reilly

OCTOBER 19, 2021

As with many burgeoning fields and disciplines, we don’t yet have a shared canonical infrastructure stack or best practices for developing and deploying data-intensive applications. In effect, the engineer designs and builds the world wherein the software operates. What: The Modern Stack of ML Infrastructure.

DevOps 138

DevOps Software Engineering Infrastructure Open Source 138

The Netflix TechBlog

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. Metaflow is comprehensively documented at docs.metaflow.org.

Open Source 232

Open Source AWS Infrastructure Energy 232

O'Reilly

NOVEMBER 12, 2019

Respondents who have implemented serverless made custom tooling the top tool choice—implying that vendors’ tools may not fully address what organizations need to deploy and manage a serverless infrastructure. A related point: the rise of the serverless paradigm coincides with what we’ve referred to elsewhere as “ Next Architecture.”

Serverless 88

Serverless Architecture FinTech Infrastructure 88

The Netflix TechBlog

DECEMBER 3, 2019

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” mainly because of mundane reasons related to software engineering. Metaflow is comprehensively documented at docs.metaflow.org.

Open Source 134

Open Source AWS Infrastructure Energy 134