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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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Application observability meets developer observability: Unlock a 360ยบ view of your environment

Dynatrace

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. When an incident occurs, developers need to know what data to look at, where the incident occurred, and other relevant metrics. “Then, I add a breakpoint.

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