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Gossip Protocol in Social Media Networks: Instagram and Beyond

DZone

This article will discuss the gossip protocol in detail, followed by its potential implementation in social media networks, including Instagram. We will also include code snippets to provide a deeper technical understanding. The nodes exchange information about their state and the state of their neighbors.

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JMeter Netconf Plug-in and Network Service Automation

DZone

JMeter Netconf Plug-in and Network Service Automation. Network service automation-related requirements are usually realized by means of commercial or open-source network orchestrator or controller software system. JMeter Netconf plug-in implementation includes two modules.

Network 246
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Leveraging Infrastructure as Code for Data Engineering Projects: A Comprehensive Guide

DZone

Data engineering projects often require the setup and management of complex infrastructures that support data processing, storage, and analysis. Traditionally, this process involved manual configuration, leading to potential inconsistencies, human errors, and time-consuming deployments.

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Write Optimized Spark Code for Big Data Applications

DZone

Apache Spark is a powerful open-source distributed computing framework that provides a variety of APIs to support big data processing. This can significantly reduce network overhead and improve performance. Use Broadcast Variables Broadcast variables are read-only variables that can be shared across nodes in a Spark cluster.

Big Data 173
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CSS and Network Performance

CSS Wizardry

In this post I want to look at how CSS can prove to be a substantial bottleneck on the network (both in itself and for other resources) and how we can mitigate it, thus shortening the Critical Path and reducing our time to Start Render. Employ Critical CSS. If you’re working with a large or legacy codebase, things get even more difficult….

Network 278
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Everything as Code

Dynatrace

And with today’s increasing financial, availability, performance and innovation requirements meaning applications need to be geographically dispersed to constantly changing dynamic powerhouses, it has become simply not possible to provision, update, monitor and decommissions them by only leveraging manual processes.

Code 110
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Kubernetes Observability: Code Profiling With Flame Graphs

Percona

It shows which code paths are more busy on the CPU in given samples. The idea behind this is to speed up cluster resources such as garbage collection, reduce image transfer over the network, and accelerate the application launch. Flame graphs are a graphical representation of function calls. ✔ Launching profiler.

Code 108