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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 141
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How Netflix uses eBPF flow logs at scale for network insight

The Netflix TechBlog

By Alok Tiagi , Hariharan Ananthakrishnan , Ivan Porto Carrero and Keerti Lakshminarayan Netflix has developed a network observability sidecar called Flow Exporter that uses eBPF tracepoints to capture TCP flows at near real time. Without having network visibility, it’s difficult to improve our reliability, security and capacity posture.

Network 325
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Tuning EMQX To Scale to One Million Concurrent Connection on Kubernetes

DZone

When dealing with IoT, one of the first things that come to mind is the limited processing, networking, and storage capabilities these devices operate with. A messaging protocol is a set of rules and formats that are agreed upon among entities that want to communicate with each other.

IoT 293
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Hyper Scale VPC Flow Logs enrichment to provide Network Insight

The Netflix TechBlog

Without having network visibility, it’s not possible to improve our reliability, security and capacity posture. Network Availability: The expected continued growth of our ecosystem makes it difficult to understand our network bottlenecks and potential limits we may be reaching. 43416 5001 52.213.180.42

Network 150
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Large scale deployments are easy and cost-effective with network zones (Early Adopter)

Dynatrace

By minimizing bandwidth and preventing unrelated traffic between data centers, you can maintain healthy network infrastructure and save on costs. Dynatrace network zones provide an easy means of routing OneAgent traffic between data centers using a unique approach that separates Dynatrace from its competitors.

Network 167
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Write Optimized Spark Code for Big Data Applications

DZone

In addition, pySpark applications can be tuned to optimize performance and achieve better execution time, scalability, and resource utilization. In this article, we will discuss some tips and techniques for tuning PySpark applications. This can significantly reduce network overhead and improve performance.

Big Data 161
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Tuning SQL Server Reporting Services

SQL Performance

This article will cover many areas that database administrators need to be aware of in order to properly license, recover, and tune a Reporting Services installation. Tuning Options. Tuning SSRS is much like any other application. General Tuning. Installation and support of SSRS can be confusing.

Tuning 67