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Splunk Acquires Cloudmeter

Splunk has acquired Cloudmeter, a provider of network data capture technologies.

The addition of Cloudmeter will enhance the ability of Splunk customers to analyze machine data directly from their networks and correlate it with other machine-generated data to gain insights across Splunk’s core use cases in application and infrastructure management, IT operations, security and business analytics.

“The increasing complexity of enterprise applications and infrastructure makes network data a valuable source of data for operational intelligence,” said Godfrey Sullivan, Chairman and CEO, Splunk. “Cloudmeter has a strong technical team with deep networking expertise. They have built a robust, highly scalable solution that will allow our customers to easily capture network data, either on-premises or in the cloud. We look forward to integrating Cloudmeter technology into Splunk’s platform for machine data.”

Founded in 2007, Cloudmeter was one of the early companies to identify the value in the massive amounts of data that flow through organizations’ networks. Cloudmeter helps customers harvest network traffic to create actionable insights across a broad range of use cases.

“Our focus has been to develop innovative solutions that enable easier access to and insight from network data,” said Michael Dickey, founder, CEO and CTO, Cloudmeter. “Network data is a major contributor to the growth of big data and we are excited to join Splunk. We look forward to developing new capabilities that will help customers realize the full potential of their network and other machine-generated big data.”

Terms of the transaction were not disclosed. The transaction was funded with cash from Splunk’s balance sheet.

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Splunk Acquires Cloudmeter

Splunk has acquired Cloudmeter, a provider of network data capture technologies.

The addition of Cloudmeter will enhance the ability of Splunk customers to analyze machine data directly from their networks and correlate it with other machine-generated data to gain insights across Splunk’s core use cases in application and infrastructure management, IT operations, security and business analytics.

“The increasing complexity of enterprise applications and infrastructure makes network data a valuable source of data for operational intelligence,” said Godfrey Sullivan, Chairman and CEO, Splunk. “Cloudmeter has a strong technical team with deep networking expertise. They have built a robust, highly scalable solution that will allow our customers to easily capture network data, either on-premises or in the cloud. We look forward to integrating Cloudmeter technology into Splunk’s platform for machine data.”

Founded in 2007, Cloudmeter was one of the early companies to identify the value in the massive amounts of data that flow through organizations’ networks. Cloudmeter helps customers harvest network traffic to create actionable insights across a broad range of use cases.

“Our focus has been to develop innovative solutions that enable easier access to and insight from network data,” said Michael Dickey, founder, CEO and CTO, Cloudmeter. “Network data is a major contributor to the growth of big data and we are excited to join Splunk. We look forward to developing new capabilities that will help customers realize the full potential of their network and other machine-generated big data.”

Terms of the transaction were not disclosed. The transaction was funded with cash from Splunk’s balance sheet.

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

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