Remove Comparison Remove Efficiency Remove Speed
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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.

Java 214
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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). Use the parsing-on-read functionality when you need to analyze historical log data on demand.

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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. Netflix interest in SVT-AV1 Reference software typically focuses on the best possible compression at the expense of encoding speed. The encoder speed helps innovation, as it is faster to run experiments.

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Transform your operations with Davis AI root cause analysis

Dynatrace

Unlike generic DIY query frontends, the Dynatrace Problems app is a tailor-made solution for efficiently supporting operations use cases. The native multi-select feature lets users open a filtered group of problems simultaneously, facilitating quick comparisons and detailed analysis.

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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

Figure 1: A Simplified Video Processing Pipeline With this architecture, chunk encoding is very efficient and processed in distributed cloud computing instances. Since not all projects are terabytes projects, allocating the largest cloud storage to all packager instances is not an efficient use of cloud resources.

Cloud 242
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Dynatrace study: How your peers use cloud automation to innovate faster (Part 1)

Dynatrace

Here’s a quick graphical comparison of the Pivotal Dev-to-Ops ratio, that of the Dynatrace elite category, and the average ratio identified by the survey. The size and complexity of today’s cloud environments will continue to expand with the speed and innovation required to remain competitive.

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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 177