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Top Benefits of Automation Testing for a Successful Product Release

DZone

Testers use regression testing to stabilize the product for faster releases and quickly fix issues after migrating the code to the production environment. Automation testing has numerous benefits in comparison to manual testing. Automating increases the effectiveness of processes, expedites execution, and maximizes test coverage.

Testing 246
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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. There were languages I briefly read about, including other performance comparisons on the internet. These include Python, PHP, Perl, and Ruby. Ahem, Slow!

Java 214
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Migrating Critical Traffic At Scale with No Downtime?—?Part 2

The Netflix TechBlog

We can determine A/B test membership in either device application or backend code and selectively invoke new code paths and services. One can perform this comparison live on the request path or offline based on the latency requirements of the particular use case.

Traffic 287
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Automate CI/CD pipelines with Dynatrace: Part 2, Deploy stage

Dynatrace

Deploy stage In the deployment stage, the application code is typically deployed in an environment that mirrors the production environment. This step is crucial as this environment is used for the final validation and testing phase before the code is released into production.

Traffic 270
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Faster remainders when the divisor is a constant: beating compilers and libdivide

Daniel Lemire

In some instances, libdivide can even be more efficient than compilers because it uses an approach introduced by Robison (2005) where we not only use multiplications and shifts, but also an addition to avoid arithmetic overflows. I make my benchmarking code available. What if d is a constant, but not known to the compiler?

C++ 279
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The top four log analytics and log management best practices

Dynatrace

The resulting vast increase in data volume highlights the need for more efficient data handling solutions. Moreover, by applying causal AI and topological mapping , a unified observability platform includes all the necessary data in context, making troubleshooting significantly more efficient and effective.

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Introducing SVT-AV1: a scalable open-source AV1 framework

The Netflix TechBlog

Reference software serves as the basis for standard development, a framework, in which the performance of video coding tools is evaluated. This makes it possible for SVT-AV1 to decrease encoding time while still maintaining compression efficiency. The reference software typically evolves along with the development of the standard.