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AI-powered DNS request tracking extends infrastructure observability for high quality network traffic

Dynatrace

The Dynatrace Software Intelligence Platform gives you a complete Infrastructure Monitoring solution for the monitoring of cloud platforms and virtual infrastructure, along with log monitoring and AIOps. Ensure high quality network traffic by tracking DNS requests out-of-the-box. Average query response time.

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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. In this article, we will explore the benefits of leveraging IaC for data engineering projects and provide detailed implementation steps to get started.

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Build systems more reliably with Dynatrace: Chaos Engineering

Dynatrace

These releases often assumed ideal conditions such as zero latency, infinite bandwidth, and no network loss, as highlighted in Peter Deutsch’s eight fallacies of distributed systems. Chaos engineering is a practice that extends beyond traditional failure testing by identifying unpredictable issues.

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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.

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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Recently, we added another powerful tool to our arsenal: neural networks for video downscaling. In this tech blog, we describe how we improved Netflix video quality with neural networks, the challenges we faced and what lies ahead. How can neural networks fit into Netflix video encoding?

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Building Netflix’s Distributed Tracing Infrastructure

The Netflix TechBlog

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which Now let’s look at how we designed the tracing infrastructure that powers Edgar. We needed to increase engineering productivity via distributed request tracing.

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Building Resilience With Chaos Engineering and Litmus

DZone

Various factors, such as network communication, inter-service dependencies, external dependencies, and scalability issues, can contribute to outages. The scalability, agility, and continuous delivery offered by microservices architecture make it a popular option for businesses today.