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Why applying chaos engineering to data-intensive applications matters

Dynatrace

MAY 23, 2024

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. Recovery time of the latency p90.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

JULY 20, 2019

In this model, software architecture and code ownership is a reflection of the organisational model. long-lived teams get bored very quickly due to the repetitive and homogeneous nature of work which they channel out by spending time on things like open source projects. Secondly, fine-tune team composition based on work.

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