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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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From Domains to Value Streams

Strategic Tech

The 2010s were a turning-point in the history of software engineering. or “How do software architecture, domains, Conway’s Law, Team Topologies, and value streams all fit together?”. Team Flow Event Storming is also a great technique for mapping out and visualizing value stream-like processes collaboratively.

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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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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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Cloud Adoption in 2020

O'Reilly

. • More than one-third have adopted site reliability engineering (SRE); slightly less have developed production AI services. Software engineers represent the largest cohort, comprising almost 20% of all respondents (see Figure 1 ). For this audience, SRE’s future is brighter than AI’s, however. Respondent Demographics.

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