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Splunk Closes Acquisition of SignalFx

Splunk completed the acquisition of SignalFx, a SaaS leader in real-time monitoring and metrics for cloud infrastructure, microservices and applications.

With the addition of SignalFx, Splunk is now a leader in observability and APM for organizations at every stage of their cloud journey, from cloud-native apps to homegrown on-premises applications.

The aggregate purchase price for the transaction was approximately $1.05 billion, excluding adjustments, paid approximately 60% in cash and 40% in Splunk common stock.

“We live in a cloud-first world, where developers must have the ability to monitor and observe cloud-native infrastructure and applications in real-time, whether via logs, metrics or tracing. The power of Splunk and SignalFx allows our customers to monitor any relevant data at massive scale,” said Doug Merritt, President and CEO, Splunk. “I’m thrilled to welcome SignalFx to the Splunk team, and can’t wait to show our customers how our data platform can help them turn data into doing.”

With Splunk, the combined technologies will give customers one platform that can monitor the entire enterprise application lifecycle. The predictability and versatility of Splunk’s Data-to-Everything pricing programs will also provide SignalFx’s customers with exceptional value and best-in-class, next generation solutions when compared to legacy APM solutions.

SignalFx’s cloud-delivered solutions have a highly differentiated set of features including real-time streaming analytics, such as the NoSample architecture for distributed tracing. The combination of Splunk and SignalFx will give IT departments a data platform that allows them to monitor and observe data in real-time, no matter the infrastructure or scale – in order to cut costs, boost revenue and improve the customer experience.

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Splunk Closes Acquisition of SignalFx

Splunk completed the acquisition of SignalFx, a SaaS leader in real-time monitoring and metrics for cloud infrastructure, microservices and applications.

With the addition of SignalFx, Splunk is now a leader in observability and APM for organizations at every stage of their cloud journey, from cloud-native apps to homegrown on-premises applications.

The aggregate purchase price for the transaction was approximately $1.05 billion, excluding adjustments, paid approximately 60% in cash and 40% in Splunk common stock.

“We live in a cloud-first world, where developers must have the ability to monitor and observe cloud-native infrastructure and applications in real-time, whether via logs, metrics or tracing. The power of Splunk and SignalFx allows our customers to monitor any relevant data at massive scale,” said Doug Merritt, President and CEO, Splunk. “I’m thrilled to welcome SignalFx to the Splunk team, and can’t wait to show our customers how our data platform can help them turn data into doing.”

With Splunk, the combined technologies will give customers one platform that can monitor the entire enterprise application lifecycle. The predictability and versatility of Splunk’s Data-to-Everything pricing programs will also provide SignalFx’s customers with exceptional value and best-in-class, next generation solutions when compared to legacy APM solutions.

SignalFx’s cloud-delivered solutions have a highly differentiated set of features including real-time streaming analytics, such as the NoSample architecture for distributed tracing. The combination of Splunk and SignalFx will give IT departments a data platform that allows them to monitor and observe data in real-time, no matter the infrastructure or scale – in order to cut costs, boost revenue and improve the customer experience.

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

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