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Why applying chaos engineering to data-intensive applications matters

Dynatrace

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.

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Nurturing Design in Your Software Engineering Culture

Strategic Tech

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. Martin Fowler argues that internal quality of a software system enables new features and improvements to be delivered more sustainably.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly

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
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.

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O’Reilly serverless survey 2019: Concerns, what works, and what to expect

O'Reilly

We suspect this points to a general drift toward software teams taking more responsibility for infrastructure, and increasingly, enabled by serverless options. As noted earlier, the majority of survey respondents are software engineers. Industries of survey respondents. Organization size of survey respondents.

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Forming an Architecture Modernization Enabling Team (AMET)

Strategic Tech

They need a more loosely coupled architecture and empowered teams. The Warehousing Modernization Enabling Team (an AMET) has been established to guide modernization in the Warehousing domain, which consists of 100+ software engineers and a monolithic codebase.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

The Netflix TechBlog

mainly because of mundane reasons related to software engineering. The infrastructure should allow them to exercise their freedom as data scientists but it should provide enough guardrails and scaffolding, so they don’t have to worry about software architecture too much.