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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 So stay tuned! Dynatrace news. AI-powered observability and end-to-end tracing of serverless applications.

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Data Consistency in Apache Cassandra — Part 1

Software Architecture

You can tune the write consistency for performance (by setting the write CL as ONE) or immediate consistency for critical piece of data (by setting the write CL as ALL) Following is how it works: A client sends a write request to the coordinator. For all these benefits, the price you pay is lower consistency. Comments and thoughts welcome.

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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 So stay tuned! Dynatrace news. AI-powered observability and end-to-end tracing of serverless applications.