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Posts by Jim Meehan, Director of Product Marketing

Level 3 Route Leak: What Kentik Saw

By Jim Meehan, Director of Product Marketing | Nov 15, 2017
Network Management

As last week’s misconfigured BGP routes from backbone provider Level 3 caused Internet outages across the nation, the monitoring and troubleshooting capabilities of Kentik Detect enabled us to identify the most-affected providers and assess the performance impact on our own customers. In this post we show how we did it and how our new ability to alert on performance metrics will make it even easier for Kentik customers to respond rapidly to similar incidents in the future.

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Kentik Detect for Kentik Site Reliability

By Jim Meehan, Director of Product Marketing | Oct 30, 2017
Network Management

At Kentik, we built Kentik Detect, our production SaaS platform, on a microservices architecture. We also use Kentik Detect for monitoring our own infrastructure. Drawing on a variety of real-life incidents as examples, this post looks at how the alerts we get — and the details that we’re able to see when we drill down deep into the data — enable us to rapidly troubleshoot and resolve network-related issues.

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Visualizing the Digital Eclipse

By Jim Meehan, Director of Product Marketing | Aug 22, 2017
NetFlow Analysis

With much of the country looking skyward during the solar eclipse, you might wonder how much of an effect there was on network traffic. Was there a drastic drop as millions of watchers were briefly uncoupled from their screens? Or was that offset by a massive jump in live streaming and photo uploads? In this post we report on what we found using forensic analytics in Kentik Detect to slice traffic based on how and where usage patterns changed during the event.

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Accuracy in Low-Volume NetFlow Sampling

By Jim Meehan, Director of Product Marketing | Jun 19, 2017
Network Management

NetFlow data has a lot to tell you about the traffic across your network, but it may require significant resources to collect. That’s why many network managers choose to collect flow data on a sampled subset of total traffic. In this post we look at some testing we did here at Kentik to determine if sampling prevents us from seeing low-volume traffic flows in the context of high overall traffic volume.

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SDN and Self-Driving Networks

By Jim Meehan, Director of Product Marketing | May 15, 2017
Network Management

SDN holds lots of promise, but it’s practical applications have so far been limited to discrete use cases like customer provisioning or service scaling. The long-term goal is true dynamic control, but that requires comprehensive traffic intelligence in real time at full scale. As our customers are discovering, Kentik Detect’s traffic visibility, anomaly detection, and extensive APIs make it an ideal source for actionable traffic data that can drive network automation.

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Package Tracking for the Internet

By Jim Meehan, Director of Product Marketing | May 9, 2017
Network Management, Peering Analytics

Without package tracking, FedEx wouldn’t know how directly a package got to its destination or how to improve service and efficiency. 25 years into the commercial Internet, most service providers find themselves in just that situation, with no easy way to tell where an individual customer’s traffic exited the network. With Kentik Detect’s new Ultimate Exit feature, those days are over. Learn how Kentik’s per-customer traffic breakdown gives providers a competitive edge.

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Kentik Troubleshoots Network Performance

By Jim Meehan, Director of Product Marketing | Dec 5, 2016
How-To, Network Management, Performance Monitoring

How does Kentik NPM help you track down network performance issues? In this post by Jim Meehan, Director of Solutions Engineering, we look at how we recently used our own NPM solution to determine if a spike in retransmits was due to network issues or a software update we’d made on our application servers. You’ll see how we ruled out the software update, and were then able to narrow the source of the issue to a specific route using BGP AS Path.

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Peering for the Win

By Jim Meehan, Director of Product Marketing | May 23, 2016
Network Management, Peering Analytics

Traffic can get from anywhere to anywhere on the Internet, but that doesn’t mean all networks are directly connected. Instead, each network operator chooses the networks with which to connect. Both business and technical considerations are involved, and the ability to identify prime candidates for peering or transit offers significant competitive advantages. In this post we look at the benefits of intelligent interconnects and how networks can find the best peers to connect with.

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Inside the Kentik Data Engine, Part 2

By Jim Meehan, Director of Product Marketing | May 2, 2016
How-To, Product, Technology

In part 2 of our tour of Kentik Data Engine, the distributed backend that powers Kentik Detect, we continue our look at some of the key features that enable extraordinarily fast response to ad hoc queries even over huge volumes of data. Querying KDE directly in SQL, we use actual query results to quantify the speed of KDE’s results while also showing the depth of the insights that Kentik Detect can provide.

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Inside the Kentik Data Engine, Part 1

By Jim Meehan, Director of Product Marketing | Apr 25, 2016
How-To, Network Management

Kentik Detect’s backend is Kentik Data Engine (KDE), a distributed datastore that’s architected to ingest IP flow records and related network data at backbone scale and to execute exceedingly fast ad-hoc queries over very large datasets, making it optimal for both real-time and historical analysis of network traffic. In this series, we take a tour of KDE, using standard Postgres CLI query syntax to explore and quantify a variety of performance and scale characteristics.

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