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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. Recovery time of the latency p90.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Dynatrace is thrilled to announce the General Availability of support for both the 2.x Simplify error analytics. Understand and optimize your architecture. So stay tuned! Dynatrace news.

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Full visibility into your serverless applications with AI-powered Azure Functions monitoring (GA)

Dynatrace

As companies strive to innovate and deliver faster, modern software architecture is evolving at near the speed of light. Dynatrace is thrilled to announce the General Availability of support for both the 2.x Simplify error analytics. Understand and optimize your architecture. So stay tuned! Dynatrace news.

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5 tips for architecting fast data applications

O'Reilly Software

Here are five considerations every software architect and developer needs to take into account when setting the architectural foundations for a fast data platform. The data shape will dictate capacity planning, tuning of the backbone, and scalability analysis for individual components. Determine requirements first. At most once?