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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. In fact, Software Design EventStorming is like a DSL for designing business processes that translate directly into code.

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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. We heard many stories about difficulties related to data access and basic data processing. While a typical machine learning workflow running on Metaflow touches only a small shard of this warehouse, it can still process terabytes of data.

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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. We heard many stories about difficulties related to data access and basic data processing. While a typical machine learning workflow running on Metaflow touches only a small shard of this warehouse, it can still process terabytes of data.

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

O'Reilly

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.

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Forming an Architecture Modernization Enabling Team (AMET)

Strategic Tech

To demonstrate this process, we will build a canvas for the following fictitious example (inspired by real examples from our consulting work): A large logistics company wants to expand into new verticals and integrate its offerings into an emerging open marketplace. They need a more loosely coupled architecture and empowered teams.