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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.

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Highlights from the O’Reilly Software Architecture Conference in Berlin 2019

O'Reilly

Experts from across the software architecture world came together in Berlin for the O’Reilly Software Architecture Conference. Below you’ll find links to highlights from the event. Cognitive biases in the architect’s life.

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Highlights from the O'Reilly Software Architecture Conference in New York 2018

O'Reilly Software

Watch highlights covering the latest tools and techniques of software architecture. From the O'Reilly Software Architecture Conference in New York 2018. Experts from across the software architecture world came together in New York for the O'Reilly Software Architecture Conference.

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The Benefits of Software Architecture: Hierarchical Digital Twins

ScaleOut Software

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. The digital twin model for stateful stream-processing is a case in point.

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The Benefits of Software Architecture: Hierarchical Digital Twins

ScaleOut Software

Having just concluded participation in another In-Memory Computing Summit , it has become even more clear to me that the key to mainstream adoption of in-memory computing software platforms is architecture — the root of a platform’s value to applications. The digital twin model for stateful stream-processing is a case in point.

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Ensure safe and secure releases at scale by providing Golden Paths

Dynatrace

Golden Paths for rapid product development Modern software development aims to streamline development and delivery processes to ensure fast releases to the market without violating quality and security standards. After completing this two-step process, a ready-to-use guardian is created.

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Connect Fluentd logs with Dynatrace traces, metrics, and topology data to enhance Kubernetes observability

Dynatrace

Fluentd is an open-source data collector that unifies log collection, processing, and consumption. It collects, processes, and outputs log files to and from a wide variety of technologies. Processing plugins parse (normalize), filter, enrich (tagging), format, and buffer log streams. Adding the Dynatrace plug-in is easy.

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