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Kentik AI Released

Kentik launched Kentik AI to give any engineer, operator, architect, or developer the ability to troubleshoot complex networks quickly and easily.

The company is simultaneously launching a modern and AI-assisted Network Monitoring System (Kentik NMS) to enable teams to observe, manage, and optimize network health and performance via real-time monitoring and alerting.

"Historically, resolving complex network issues required network engineers to have years, if not decades, of experience," said Avi Freedman, CEO and Co-Founder of Kentik. "Now anyone — a developer, SRE, or business analyst — can ask questions about their network in their preferred language and get the answers they need."

Kentik has embedded Generative AI across its platform to democratize access to critical knowledge about complex systems. Through a natural language interface and guided troubleshooting workflows, Kentik now empowers teams to determine the root cause of customer-impacting issues much faster.

“We’re imagining a world where everybody can be a superstar network engineer. Where network insights are no longer limited to network experts. Where AI augments the engineer, dramatically increasing their productivity, speed of troubleshooting and remediation of issues, and as a result driving efficiencies that can’t reasonably be achieved by scaling manual resources,” said Christoph Pfister, Chief Product Officer at Kentik.

Kentik AI and platform innovations:

- Kentik Query Assistant: Kentik Query Assistant leverages a Large Language Model (LLM) infused with network context that enables users to ask questions about their network in natural language, and Kentik will use its full breadth of data to deliver an answer. This democratizes access to critical network insights that were typically available only to teams with deep network expertise.

- Kentik Journeys: Kentik Journeys provides users with an AI-assisted troubleshooting workflow to solve complex network problems. When troubleshooting, engineers ask a question, analyze the answer, then ask a new, better-informed question, drilling deeper into the issue. Kentik Journeys accelerates this process and expedites investigations with deep understanding of the user’s network.

- Kentik NMS: Kentik NMS is the first AI-assisted network monitoring system. It modernizes network monitoring technology by unifying traffic flow data with real-time, custom, and streaming device metrics in one extensible SaaS platform, allowing engineers to easily correlate heterogenous telemetry from distributed infrastructure and rapidly problem-solve.

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Kentik AI Released

Kentik launched Kentik AI to give any engineer, operator, architect, or developer the ability to troubleshoot complex networks quickly and easily.

The company is simultaneously launching a modern and AI-assisted Network Monitoring System (Kentik NMS) to enable teams to observe, manage, and optimize network health and performance via real-time monitoring and alerting.

"Historically, resolving complex network issues required network engineers to have years, if not decades, of experience," said Avi Freedman, CEO and Co-Founder of Kentik. "Now anyone — a developer, SRE, or business analyst — can ask questions about their network in their preferred language and get the answers they need."

Kentik has embedded Generative AI across its platform to democratize access to critical knowledge about complex systems. Through a natural language interface and guided troubleshooting workflows, Kentik now empowers teams to determine the root cause of customer-impacting issues much faster.

“We’re imagining a world where everybody can be a superstar network engineer. Where network insights are no longer limited to network experts. Where AI augments the engineer, dramatically increasing their productivity, speed of troubleshooting and remediation of issues, and as a result driving efficiencies that can’t reasonably be achieved by scaling manual resources,” said Christoph Pfister, Chief Product Officer at Kentik.

Kentik AI and platform innovations:

- Kentik Query Assistant: Kentik Query Assistant leverages a Large Language Model (LLM) infused with network context that enables users to ask questions about their network in natural language, and Kentik will use its full breadth of data to deliver an answer. This democratizes access to critical network insights that were typically available only to teams with deep network expertise.

- Kentik Journeys: Kentik Journeys provides users with an AI-assisted troubleshooting workflow to solve complex network problems. When troubleshooting, engineers ask a question, analyze the answer, then ask a new, better-informed question, drilling deeper into the issue. Kentik Journeys accelerates this process and expedites investigations with deep understanding of the user’s network.

- Kentik NMS: Kentik NMS is the first AI-assisted network monitoring system. It modernizes network monitoring technology by unifying traffic flow data with real-time, custom, and streaming device metrics in one extensible SaaS platform, allowing engineers to easily correlate heterogenous telemetry from distributed infrastructure and rapidly problem-solve.

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Since IT costs can consume a significant share of revenue ... enterprises should (but often don't) pay close attention to the efficiency of IT operations at scale. Improving operational cost structures even fractionally can yield major savings for larger organizations, often in the tens of millions of dollars ...

Being able to access the full potential of artificial intelligence (AI) and advanced analytics has become a critical differentiator for businesses. These technologies allow for more informed decision-making, boost operational efficiency, enhance security, and reveal valuable insights hidden within massive data sets. Yet, for organizations to truly harness AI's capabilities, they must first tap into an often-overlooked asset: their mainframe data ...

The global IT skills shortage will persist, and perhaps worsen, over the next few years, carrying a collective price tag of more than $5 trillion. Organizations must search for ways to streamline their IT service management (ITSM) workflows in addition to, or even apart from, hiring more staff. Those who don't find alternative methods of ITSM efficiency will be left behind by their competitors ...

Embedding greater levels of deep learning into enterprise systems demands these deep-learning solutions to be "explainable," conveying to business users why it predicted what it predicted. This "explainability" needs to be communicated in an easy-to-understand and transparent manner to gain the comfort and confidence of users, building trust in the teams using these solutions and driving the adoption of a more responsible approach to development ...

Modern people can't spend a day without smartphones, and businesses have understood this very well! Mobile apps have become an effective channel for reaching customers. However, their distributed nature and delivery networks may cause performance problems ... Performance engineering can be a solution.

Image
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