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Implementing service-level objectives to improve software quality

Dynatrace

Instead, they can ensure that services comport with the pre-established benchmarks. When organizations implement SLOs, they can improve software development processes and application performance. SLOs improve software quality. The performance SLO needs a custom SLI metric, which you can configure as follows.

Software 252
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What is software automation? Optimize the software lifecycle with intelligent automation

Dynatrace

In today’s digital world, software is everywhere. Software is behind most of our human and business interactions. This, in turn, accelerates the need for businesses to implement the practice of software automation to improve and streamline processes. What is software automation? What is software analytics?

Software 177
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How To Use BenchmarkDotNet: 6 Simple Performance-Boosting Tips To Get Started

DZone

As software engineers, we are always striving for high performance and efficiency in our code. Whether it’s optimizing algorithms or fine-tuning data structures, every decision we make can have a significant impact on the overall performance of our applications.

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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. For years, researchers at UT Darmstadt have compared the performance of message-oriented middleware servers based on Java Messaging Service (JMS).

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Performance Testing at MongoDB

Alex Podelko

MongoDB has the most advanced continuous performance testing I know about. MongoDB shared a lot of information on how we do performance testing and even open sourced some parts of it. Continuous performance testing is built on the top of Evergreen. 34 (2020), Performance Testing with David Daly , is another good introduction.

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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. What is open source software?

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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. Flink is the best candidate when EOS guarantees are necessary.