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How Netflix uses eBPF flow logs at scale for network insight

Netflix Tech

At much less than 1% of CPU and memory on the instance, this highly performant sidecar provides flow data at scale for network insight. Flow Exporter The Flow Exporter is a sidecar that uses eBPF tracepoints to capture TCP flows at near real time on instances that power the Netflix microservices architecture. What is BPF?

Network 130
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New Features and Benefits with AWS – Quarterly Update – Q2– 2022

Apps Associates

Graviton3-based C7g instances are the first generally available instances in the cloud to feature the latest DDR5 memory, which provides 50% more memory bandwidth compared to DDR4, to enable high-speed access to data in memory. They will also benefit applications that need temporary data storage, such as caches and scratch files.

AWS 52
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Hyper Scale VPC Flow Logs enrichment to provide Network Insight

Netflix Tech

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs, ELB Access Logs, Custom Exporter Agents, etc, we can provide Network Insight to users through multiple data visualization techniques like Lumen , Atlas , etc. At Netflix we publish the Flow Log data to Amazon S3.

Network 60
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The (Net)Flow That Kentik Makes Go: Know Your Traffic Flow Data Protocols

Kentik

NetFlow” may be the most common short-hand term for this network flow data, but that doesn’t mean it’s the only important protocol for the exchange of metadata related to flows transiting network infrastructure. So to help provide clarity, we’ve listed below names and descriptions for the main flow-data protocols supported by Kentik Detect.

IPv6 40
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What is Passive DNS and how do you leverage it in research?

CTOvision

A key use case of passive DNS data is to take an IP address known to be malicious and then find all the domain names that Passive DNS sensors have mapped to that IP address. The basic Passive DNS architecture is a replication technique where inter-server DNS messages are captured by sensors.