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Redis vs Memcached in 2024

Scalegrid

In this comparison of Redis vs Memcached, we strip away the complexity, focusing on each in-memory data store’s performance, scalability, and unique features. Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load.

Cache 130
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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 207
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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. This integrated approach represents significant time savings, drastically reducing MTTI and speeding mean time to resolution (MTTR).

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Android application testing: Comparison of the two approaches – Manual and Automated

Testsigma

Unit Tests – For verifying a minimal unit of source code. Let’s discuss both approaches by having a detailed comparison between the two. Regression Testing: As regression testing demands frequent code changes, automated testing works really well for running regression tests quickly. Manual Testing. Signup Now.

Testing 52
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Introducing SVT-AV1: a scalable open-source AV1 framework

The Netflix TechBlog

The encoder can typically be improved years after the standard has been frozen including varying speed and quality trade-offs. Reference software serves as the basis for standard development, a framework, in which the performance of video coding tools is evaluated. 264 standard was finalized.

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Azure Well-Architected Framework: What it is and how to tame it with AI and automation

Dynatrace

Performance efficiency. In comparison, the Dynatrace platform reliably takes that burden off human operators by utilizing its causation-based AI engine, Davis. Performance Efficiency. Design efficient use of your computing resources as demand changes and technologies evolves. Operational excellence. Reliability.

Azure 187
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Dynatrace Cloud Automation Module provides observability-driven automation across the full lifecycle

Dynatrace

Today, the speed of software development has become a key business differentiator, but collaboration, continuous improvement, and automation are even more critical to providing unprecedented customer value. Automated release inventory and version comparison.

Cloud 167