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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. This significantly increases event latency.

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10 talks to look for at the 2018 O'Reilly Software Architecture Conference in London

O'Reilly Software

From chaos architecture to event streaming to leading teams, the O'Reilly Software Architecture Conference offers a unique depth and breadth of content. We received more than 200 abstracts for talks for the 2018 O'Reilly Software Architecture Conference in London—on both expected and surprising topics.

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Engineering well-rounded technology leaders

O'Reilly Software

2018 marks the fourth year of O’Reilly’s Software Architecture Conference , a software engineering event focused on providing hands-on training experiences for technologists at all levels of an organization—from experienced developers up through CTOs. Building evolutionary software architecture.

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AI meets operations

O'Reilly

Collaboration between AI developers and operations teams will lead to growing pains on both sides, especially since many data scientists and AI researchers have had limited exposure to, or knowledge of, software engineering. Upcoming events. O’Reilly Strata Data & AI Conference , San Jose, March 15-18.

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From Domains to Value Streams

Strategic Tech

The 2010s were a turning-point in the history of software engineering. While MVPs have been mainstream for a long time, the concept of Value Streams and Value Stream Architecture is still in the early adopter phase in the DevOps world. I believe it originated in Lean Manufacturing in the 70s or 80s.

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Re-Architecting the Video Gatekeeper

The Netflix TechBlog

The Status-Quo Until very recently, Gatekeeper was a completely event-driven system. When a change for a video occurred in any one of its upstream systems, that system would send an event to Gatekeeper. scheduled to launch next week) would get events automatically injected into the processing queue.

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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.