Remove Efficiency Remove Processing Remove Speed
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. IT pros need a data and analytics platform that doesn’t require sacrifices among speed, scale, and cost. What is a data lakehouse?

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Automating DevOps practices fuels speed and quality

Dynatrace

Still, while DevOps practices enable developer agility and speed as well as better code quality, they can also introduce complexity and data silos. More seamless handoffs between tasks in the toolchain can improve DevOps efficiency, software development innovation, and better code quality. Gaining speed without sacrificing quality.

DevOps 278
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DevOps monitoring tools: How to drive DevOps efficiency

Dynatrace

This demand for rapid innovation is propelling organizations to adopt agile methodologies and DevOps principles to deliver software more efficiently and securely. But when and how does DevOps monitoring fit into the process? And how do DevOps monitoring tools help teams achieve DevOps efficiency? Lost efficiency.

DevOps 230
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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Energy efficiency and carbon footprint outshine x86 architectures The first clear benefit of ARM in the enterprise IT landscape is energy efficiency.

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Performance Optimization in ETL Processes

DZone

As we continue to transition into an era where data is not just an asset but the currency of the digital age, the pressures on ETL processes have increased exponentially. It’s a multidimensional answer that goes beyond speed. Speed is certainly a factor, but it's also about resource optimization and cost efficiency.

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Incremental Processing using Netflix Maestro and Apache Iceberg

The Netflix TechBlog

by Jun He , Yingyi Zhang , and Pawan Dixit Incremental processing is an approach to process new or changed data in workflows. The key advantage is that it only incrementally processes data that are newly added or updated to a dataset, instead of re-processing the complete dataset.

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Site-Speed Topography

CSS Wizardry

So many false starts, tedious workflows, and a complete lack of efficiency really made it difficult for me to find momentum. When first working on a new site-speed engagement, you need to work out quickly where the slowdowns, blindspots, and inefficiencies lie. Now, let’s move on to gaps between First Contentful Paint and Speed Index.

Speed 317