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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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What is explainable AI? The key to closing the AI confidence gap

Dynatrace

DevOps tools , security response systems , search technologies, and more have all benefited from AI technology’s progress. Automation and analysis features, in particular, have boosted operational efficiency and performance by tracking and responding to complex or information-dense situations.

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Mastering MongoDB® Timeout Settings

Scalegrid

MongoDB drivers provide several options for Mongo clients to handle different network timeout errors that may occur during usage. The default time-outs can significantly influence the behavior of your application when there are network errors.

Java 130
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Building In-Video Search

The Netflix TechBlog

We have built an internal system that allows someone to perform in-video search across the entire Netflix video catalog, and we’d like to share our experience in building this system. Building in-video search To build such a visual search engine, we needed a machine learning system that can understand visual elements.

Media 225
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Dynatrace Kubernetes Observability for Persistent Volume Claims

Dynatrace

For example, let’s say you have an idea for a new social network and decide to use Kubernetes as your container management platform. Unexpectedly, a famous influencer notices your social network and promotes it all over their other channels. Dynatrace’s PVCs extension enables you to make efficient use of your resources.

Storage 193
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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+. The desire for CPU efficiency and lower latencies is easy to understand. SOSP’19. Enter Google! Emphasis mine). It reminds me of ZeroMQ.

Network 92
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. Evaluating factors like hit rate, which assesses cache efficiency level, or tracking key evictions from the cache are also essential elements during the Redis monitoring process.

Metrics 130