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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 222
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Transparent Huge Pages Refresher

Percona

Transparent Huge Pages (THP) is a memory management feature in Linux operating systems that aims to enhance system performance. In this post, we will explore THP, its impact on database servers, and how to disable it for optimal performance and stability. What are Transparent Huge Pages?

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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. But what went wrong?

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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). Although such databases can be very efficient with counts and averages, some queries will be slow or simply non existent. Inserts are efficient for bulk inserts only. Deleting messages.

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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. Reloaded was well-architected, providing good stability, scalability, and a reasonable level of flexibility. Video Inspection Service (VIS): This service takes a mezzanine as the input and performs various inspections.

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Data Mining Problems in Retail

Highly Scalable

The goal is to find a set of the most promising candidates who should receive the resource in order to maximize the overall performance of the targeted group of customers. Moreover, gross margin is not the only performance metric that is important for retailers. The resource can be homogenous (i.e. Applications. Applications.

Retail 152
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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. Even after gaining access, one needed to deal with the challenges of homogeneity across different assets in terms of decoding performance, size, metadata, and general formatting.

Media 290