Kentik Launches Proactive Monitoring for Cloud and Hybrid Networks

Network intelligence platform provider, Kentik, has unveiled its Kentik Synthetic Monitoring solution – a proactive network monitoring that simulates an end-user’s experience with infrastructure, applications or services. This synthetic monitoring analytics solution enables autonomous testing for both cloud and hybrid networks.

Traditional tools cannot auto-configure or adapt to ever-changing Internet traffic and paths. Network teams can use this newly launched synthetic monitoring solution to proactively test for performance elements. With Kentik Synthetic Monitoring, network teams have a fully integrated solution that can autonomously configure their tests, present the full network context, and make the resulting insights actionable immediately.

“Lack of understanding of network usage and state has led to the massive failure of synthetic monitoring,” said Avi Freedman, co-founder and CEO of Kentik. “Kentik already has real-time visibility into over 1 trillion traffic measurements per day across billions of users and sees every network connected to the internet. Synthetic testing integrated with actual network traffic and device data gives Kentik trillions of even better eyes on the network. We are changing the game with synthetic monitoring that’s exponentially more valuable.”

Kentik Synthetic Monitoring is available now in preview, with GA planned for this quarter.

AWS, Google Cloud, Azure, IBM Cloud

Christoph Pfister
“Our customers have been vocal for some time that the existing approaches to synthetic network testing are falling short because they are too manual, too static and too expensive,” said Christoph Pfister, chief product officer of Kentik.

Kentik Synthetic Monitoring uses private agents that deploy “quickly and easily” and a network of global agents that are strategically positioned in Internet cities around the world and in every cloud region within AWS, Google Cloud, Microsoft Azure and IBM Cloud. The service feeds into the Kentik Data Engine (KDE), a patented hybrid columnar and streaming data engine for distributed ingest, enrichment, learning and analytics, which uses machine learning to analyze, predict and respond in real time, at Internet scale.

“Data from Kentik Synthetic Monitoring allows us to continue to extend our already insurmountable lead in volume, velocity and quality of network measurement, leveraging the telemetry to build even better models of network, application, and user behavior,” added Mr. Freedman.

Kentik Synthetic Monitoring frequently and autonomously measures performance and availability metrics of essential infrastructure, applications and services including:

  • SaaS solutions
  • Applications hosted in the public cloud
  • Internal applications
  • Transit and peer networks
  • Content delivery networks
  • Streaming video, social, gaming and other content providers
  • Site-to-site performance across traditional WAN and SD-WANs
  • Service provider connectivity and customer SLAs

“Our customers have been vocal for some time that the existing approaches to synthetic network testing are falling short because they are too manual, too static and too expensive,” said Christoph Pfister, chief product officer of Kentik. “We designed Kentik Synthetics to test autonomously, taking into account the dynamic nature of modern networks and the Internet. In addition, we believe the industry has been held back for too long by a lack of affordability, forcing customers to trade off testing needs with cost constraints. Kentik is doing away with all this today by introducing a price point that allows customers to monitor frequently, monitor autonomously, and monitor everything that matters.”

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