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Energy Efficient Distributed Systems

DZone

Energy efficiency has become a paramount concern in the design and operation of distributed systems due to the increasing demand for sustainable and environmentally friendly computing solutions.

Energy 169
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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Enhanced data security, better data integrity, and efficient access to information. Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity.

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Bloom Filters: Efficient Data Filtering With Practical Applications

DZone

Bloom filters are probabilistic data structures that allow for efficient testing of an element's membership in a set. To verify if an element is present in the filter, the element is hashed again using the same k hash functions, and if all the corresponding positions are set to 1, the element is considered present.

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Optimize your environment: Unveiling Dynatrace Hyper-V extension for enhanced performance and efficient troubleshooting

Dynatrace

This leads to a more efficient and streamlined experience for users. Lastly, monitoring and maintaining system health within a virtual environment, which includes efficient troubleshooting and issue resolution, can pose a significant challenge for IT teams.

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Presentation: Maximizing Performance and Efficiency in Financial Trading Systems through Vertical Scalability and Effective Testing

InfoQ

Peter Lawrey discusses achieving vertical scalability by minimizing accidental complexity and using an event-driven architecture. By Peter Lawrey

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Managing IoT Edge Devices at Scale: Device Lifecycle and Configuration Management

DZone

IoT edge devices, ranging from sensors to industrial machines, have become integral to various industries, offering insights, automation, and efficiency. However, managing a large number of these edge devices efficiently poses a significant challenge.

IoT 204
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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

The Netflix TechBlog

In this blog post, we present our project on Auto Remediation, which integrates the currently used rule-based classifier with an ML service and aims to automatically remediate failed jobs without human intervention. the retry success probability) and compute cost efficiency (i.e., Multi-objective optimizations.

Tuning 202