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Java Parallel GC Tuning

DZone

Parallel garbage collector (Parallel GC) is one of the oldest Garbage Collection algorithms introduced in JVM to leverage the processing power of modern multi-core systems. In this article, we will delve into the realm of Parallel GC tuning specifically.

Tuning 246
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How to Optimize CPU Performance Through Isolation and System Tuning

DZone

To achieve this level of performance, such systems require dedicated CPU cores that are free from interruptions by other processes, together with wider system tuning. To accomplish this efficiently, it is necessary to understand the tuning landscape and to use tools and strategies that facilitate effective changes.

Tuning 250
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A Comprehensive Guide to Hyperparameter Tuning: Exploring Advanced Methods

DZone

Hyperparameter tuning is an essential practice in optimizing the performance of machine learning models. This article provides an in-depth exploration of advanced hyperparameter tuning methods, including Population-Based Training (PBT), BOHB, ASHA, TPE, Optuna, DEHB, Meta-Gradient Descent, BOSS, and SNIPER.

Tuning 147
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Rebuilding Netflix Video Processing Pipeline with Microservices

The Netflix TechBlog

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

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Fine-Tuning Performance, Resolving Common Issues in FinTech Application With MySQL

DZone

Relational Databases are the bedrock of any FinTech application, especially for OLTP (Online transaction Processing). This foundational component in any application architecture usually poses challenges around scaling as the business expands rapidly.

FinTech 262
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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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Data Mesh?—?A Data Movement and Processing Platform @ Netflix

The Netflix TechBlog

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.