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Fascinating Facts from Kentik

Kentik

Big Data Stats Reveal Industry Trends. That’s how much flow data is ingested by Kentik Data Engine (KDE), the distributed big data backend that powers Kentik Detect®. Needless to say, everything presented below comes from customers that have granted permission to use their customer data.

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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.

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Monitoring DNS with Kentik Detect

Kentik

This information is turned into flow data and sent over an SSL encrypted channel to the Kentik Data Engine (KDE), from which it is queryable in Kentik Detect. Once we have the data in our distributed big data database there are all kinds of powerful things we can do with it, including custom query-based Dashboards.

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NetFlow, sFlow, and Flow Extensibility, Part 2

Kentik

While NetFlow v9 and it’s follow-on protocol IPFIX offer tremendous flexibility there are some tradeoffs including complexity of implementation and the fact that a template must be received before the underlying flow data records can be correctly understood. That still leaves the issue of what’s the best form to use for the extended data.