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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. If you’re building large applications based on Azure Functions architecture, then Azure Functions monitoring with Dynatrace helps you to: Optimize response-time hotspots. Simplify error analytics.

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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. If you’re building large applications based on Azure Functions architecture, then Azure Functions monitoring with Dynatrace helps you to: Optimize response-time hotspots. Simplify error analytics.