Remove 2007 Remove Development Remove Efficiency Remove Scalability
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DevOps automation: From event-driven automation to answer-driven automation [with causal AI]

Dynatrace

In the world of DevOps and SRE, DevOps automation answers the undeniable need for efficiency and scalability. This evolution in automation, referred to as answer-driven automation, empowers teams to address complex issues in real time, optimize workflows, and enhance overall operational efficiency.

DevOps 216
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Transparent Huge Pages Refresher

Percona

The concept of HugePages in Linux has existed for many years, first introduced in 2007. However, the inclusion of the HugePages feature allows the Linux kernel to efficiently handle substantial memory pages alongside the standard 4KB size.

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Revamp MySQL Query Optimization and Overcome Slowness of ORDER BY with LIMIT Queries

Percona

The efficiency of database queries in MySQL can make all the difference in the performance and responsiveness of applications. While sorting may seem simple, it’s important to understand how to do it efficiently and effectively to ensure your queries are optimized and use better indexing.

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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

The Netflix video processing pipeline went live with the launch of our streaming service in 2007. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case.

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Scaling Media Machine Learning at Netflix

The Netflix TechBlog

We have been leveraging machine learning (ML) models to personalize artwork and to help our creatives create promotional content efficiently. In order to satisfy this requirement, ML practitioners had to develop bespoke triggering and orchestration components per pipeline.

Media 290
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The Netflix Cosmos Platform

The Netflix TechBlog

The first generation of this system went live with the streaming launch in 2007. The third generation, called Reloaded , has been online for about seven years and has proven to be stable and massively scalable. Local development tools including specialized test runners, code generators, and a command line interface. Delivery?—?A

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Data Mining Problems in Retail

Highly Scalable

A retailer might be concerned with a variety of other metrics and this variety is so huge that there is a separate econometric discipline – propensity modeling [SG09, LE13] – that develops different models that predict customers’ future behaviors. The most important propensity models include: Predicted lifetime value.

Retail 152