Remove Definition Remove Efficiency Remove Speed Remove Testing
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7 Best Performance Testing Tools to Look Out for in 2021

DZone

The system could work efficiently with a specific number of concurrent users; however, it may get dysfunctional with extra loads during peak traffic. Performances testing helps establish the scalability, stability, and speed of the software application.

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Ensuring Performance, Efficiency, and Scalability of Digital Transformation

Alex Podelko

So you need to understand what is going on there – and Debbie is definitely an authority in that area. System Performance Estimation, Evaluation, and Decision (SPEED) by Kingsum Chow, Yingying Wen, Alibaba. Solving the “Need for Speed” in the World of Continuous Integration by Vivek Koul, Mcgraw Hill.

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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. But these are definitely ruled out for enterprise applications due to the complexity in development, maintainability, need for object orientation, and interoperability.

Java 207
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‘Security as code’ demands proactive DevSecOps

Dynatrace

The most forward-thinking teams want to take a “shift-left” approach to their security practices, engaging security practices and testing as early as possible in the software development life cycle. Speed: Users won’t give organizations a pass on slow performance just because they’re trying to enhance security.

Code 164
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Best of breed observability with Spring Micrometer and Dynatrace

Dynatrace

We also use Micrometer to analyze ingest queue processing speed, which helps us make decisions about adding resources. We optimized our Micrometer Registry to export data in memory-efficient chunks. Definitions of the Slack workflow are also in the Git repository. This also led to improvements in our ingest API.

Metrics 207
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How to boost SRE productivity with observability-driven DevOps

Dynatrace

But, manual steps — such as reviewing test results and addressing production issues resulting from performance, resiliency, security, or functional issues — often hinder these efforts. As two examples, Roman Ferstl of Triscon noted that observability-driven DevOps has helped clients achieve 15x more tests with 10x more apps tested.

DevOps 227
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Speeding Up Hadoop Builds Using Distributed Unit Tests

Highly Scalable

One of the challenges we faced was very slow automatic tests — full unit/integration test suite takes more than 2 hours for Hadoop core and more than 9 hours for Apache Pig. Although there are different ways to alleviate this problem (divide tests into suites, optimize tests by tweaking timeouts and sleeps, etc.),

Speed 100