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Evolving From Performance Testing to Modern Engineering

DZone

Performance testing stands as one of the most crucial aspects of ensuring seamless functioning of applications. As organizations strive for innovation and rapid releases, the significance of evaluating software performance throughout its lifecycle becomes increasingly paramount.

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JMeter DSL, an Innovative Tool for Performance Testing

Abstracta

The post JMeter DSL, an Innovative Tool for Performance Testing appeared first on Abstracta Software Testing Services. What is JMeter DSL, what improvements does it bring with respect to JMeter, what are the new functionalities it provides? This open source contribution developed by Abstracta is.

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Ingesting JMeter, temperature and humidity metrics: A Dynatrace innovation day report

Dynatrace

In this blog, I want to give you two examples of internal innovation projects at Dynatrace which leverage this new API, to truly show you the power – and the fun-ness of this new metric ingest ??. All your JMeter results in Dynatrace for better performance engineering. So stay tuned.

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Up your quality and agility factor – using automation to build “performance-as-a-self-service”

Dynatrace

The IDC FutureScape: Worldwide IT Industry 2020 Predictions highlights key trends for IT industry-wide technology adoption for the next five years and includes these predictions: Hasten to innovation. By 2024, over 50% of all IT spending will be directly put towards digital transformation and innovation (up from 31% in 2018).

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What are quality gates? How to use quality gates to deliver better software at speed and scale

Dynatrace

Benefits of quality gates Quality gates provide several advantages to organizations, including the following: Optimized software performance : Quality gates assess code at different SDLC stages and ensure that only high-quality code progresses. This approach supports innovation, ambitious SLOs, DevOps scalability, and competitiveness.

Speed 203
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Automate CI/CD pipelines with Dynatrace: Part 3, Testing stage

Dynatrace

Testing includes integration tests, which assess whether the code functions as intended when interacting with other services and application functionalities. It can also include performance testing to determine if the application can effectively handle the demands of the production environment.

Testing 247
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ACM Survey, Part 2: How your peers use production monitoring data to innovate faster

Dynatrace

Ideally, QA teams use production data for better test definitions (based on real use cases) and better workload modeling for load testing (based on real-world load behavior). Organizations that don’t look at production data may test the wrong things and simulate the wrong performance tests.