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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

Government agencies aim to meet their citizens’ needs as efficiently and effectively as possible to ensure maximum impact from every tax dollar invested. These components include schools; transportation; energy; water; and communications such as the accuracy, timeliness, and transparency of election reporting.

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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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Leveraging ML-Based Anomaly Detection for 4G Networks Optimization

DZone

Artificial intelligence and machine learning already have some impressive use cases for industries like retail, banking, or transportation. While the technology is far from perfect, the advancements in ML allow other industries to benefit as well.

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How Netflix brings safer and faster streaming experience to the living room on crowded networks…

The Netflix TechBlog

How Netflix brings safer and faster streaming experience to the living room on crowded networks using TLS 1.3 We want playback to start instantly and to never stop unexpectedly in any network environment. is the latest version of the Transport Layer Security protocol. for streaming traffic. Reduced Handshake TLS 1.2

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Fallacy #7: Transport cost is zero

Particular Software

Of course, there are upfront and ongoing costs associated with any computer network. The servers themselves, cabling, network switches, racks, load balancers, firewalls, power equipment, air handling, security, rent/mortgage, not to mention experienced staff to keep it all running smoothly, all come with a cost.

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Fortifying Networks: Unlocking the Power of ML, AI, and DL for Anomaly Detection

DZone

In the realm of transportation, AI is driving advancements in autonomous vehicles and optimizing traffic flow. Overall, artificial intelligence enhances efficiency, enables data-driven decision-making, and tackles complex problems across sectors, contributing to advancements and improvements in numerous fields.

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Snap: a microkernel approach to host networking

The Morning Paper

Snap: a microkernel approach to host networking Marty et al., This paper describes the networking stack, Snap , that has been running in production at Google for the last three years+. I’m jumping ahead a bit here, but the component of Snap which provides the transport and communications stack is called Pony Express.

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