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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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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

For software engineering teams, this demand means not only delivering new features faster but ensuring quality, performance, and scalability too. One way to apply improvements is transforming the way application performance engineering and testing is done. Try it today using Keptn .

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

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! mainly because of mundane reasons related to software engineering. Metaflow supports all these modalities, although some of these features are not yet available in the open-source version.

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

The Netflix TechBlog

by David Berg , Ravi Kiran Chirravuri , Romain Cledat , Savin Goyal , Ferras Hamad , Ville Tuulos tl;dr Metaflow is now open-source! mainly because of mundane reasons related to software engineering. Metaflow supports all these modalities, although some of these features are not yet available in the open-source version.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

The engineering organisation described may not work for you because of a team of 8-10 people is still a very big overhead. In this model, software architecture and code ownership is a reflection of the organisational model. Is it possible to draw inspiration from outside of software engineering? Probably yes.

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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. Software Development Layers. Software Architecture.

DevOps 140
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Re-Architecting the Video Gatekeeper

The Netflix TechBlog

By Drew Koszewnik This is the story about how the Content Setup Engineering team used Hollow, a Netflix OSS technology, to re-architect and simplify an essential component in our content pipeline?—?delivering delivering a large amount of business value in the process.

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