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Why open source software and open standards are crucial to the future of software development

Dynatrace

Open source software has become a key standard for developing modern applications. From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack.

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5 powerful use cases beyond debugging for Dynatrace Live Debugger

Dynatrace

Performance benchmarking Performance benchmarking is one of the unresolved mysteries of software engineering. This allows dynamic techniques like binary search to pinpoint the exact line of problematic code, facilitating more precise performance benchmarking. In many ways, it’s more of an art than a science.

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What Happened to HornetQ, the JMS That Shattered Records?

DZone

broke records and defeated top-ranked messaging services in benchmark tests. Software vendors make all kinds of claims about their products, but what developers care about is proof. In 2010, the SPECjms2007 benchmark record was smashed by HornetQ , an open-source enterprise messaging system from JBoss.

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Why open source software and open standards are crucial to the future of software development

Dynatrace

Open source software has become a key standard for developing modern applications. From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack.

article thumbnail

Why open source software and open standards are crucial to the future of software development

Dynatrace

Open source software has become a key standard for developing modern applications. From common coding libraries to orchestrating container-based computing, organizations now rely on open source software—and the open standards that define them—for essential functions throughout their software stack.

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Container security: What it is, why it’s tricky, and how to do it right

Dynatrace

For evidence, I refer you to the research that we recently published in which 62% of CISOs told us that container runtime environments have negatively impacted their ability to detect and manage software vulnerabilities. Application developers commonly leverage open-source software when building containerized applications.

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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. We designed experimental scenarios inspired by chaos engineering.