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Splunk to Acquire SignalFx

Splunk announced a definitive agreement to acquire SignalFx, a SaaS leader in real-time monitoring and metrics for cloud infrastructure, microservices and applications.

Under the terms of the agreement, Splunk will acquire SignalFx for a total purchase price of approximately $1.05 billion, subject to adjustment, to be paid approximately 60% in cash and 40% in Splunk common stock. The acquisition is expected to close in the second half of fiscal 2020, subject to customary closing conditions and regulatory reviews.

“Data fuels the modern business, and the acquisition of SignalFx squarely puts Splunk in position as a leader in monitoring and observability at massive scale,” said Doug Merritt, President and CEO, Splunk. “SignalFx will support our continued commitment to giving customers one platform that can monitor the entire enterprise application lifecycle. We are also incredibly impressed by the SignalFx team and leadership, whose expertise and professionalism are a strong addition to the Splunk family.”

“By joining Splunk, we will create a powerful monitoring platform - one ready to support CIOs whether they have fully embraced cloud or have existing applications in the data center,” said Karthik Rau, Founder and CEO, SignalFx. “As the world continues to move towards complex, cloud-first architectures, Splunk and SignalFx is the new approach needed to monitor and observe cloud-native infrastructure and applications in real time, whether via logs, metrics or tracing. The SignalFx team is thrilled to join Splunk to help CIOs capitalize upon the modern application portfolio.”

Real-Time Monitoring of Any Data at Any Scale

Business is evolving at a speed that requires new approaches for software development, deployment and monitoring. Cloud-native technologies such as microservices, containers, orchestrated environments like Docker and Kubernetes, and serverless functions are fueling business outcomes not anticipated just a few years ago as data volumes continue to grow exponentially. At the same time, they introduce unique challenges to IT professionals and developers tasked with ensuring high availability and seamless operations. This is partly why IDC, “continues to expect that SaaS-based solutions (in APM) will grow at triple the rate of on-premises solutions over the next five years…” (IDC, Worldwide Application Performance Management Software Forecast, 2019-2023)

The combination of Splunk and SignalFx will give IT and developers a data platform that allows them to monitor and observe data in real time, no matter the infrastructure or data volume, helping them cut costs, boost revenue and improve the customer experience. This enables organizations to work across their entire data landscape, not just silos in the data center or cloud-native environments.

According to Gartner, “by 2022, more than 75% of global organizations will be running containerized applications in production, which is a significant increase from fewer than 30% today.”** Customers will be able to use Splunk and SignalFx technology to deploy applications in the cloud, on-premises, or in hybrid environments and get real-time observability and response across all of these systems with a single interconnected platform. (Gartner, Inc., Best Practices for Running Containers and Kubernetes in Production, Arun Chandrasekaran, 25 February 2019.)

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Splunk to Acquire SignalFx

Splunk announced a definitive agreement to acquire SignalFx, a SaaS leader in real-time monitoring and metrics for cloud infrastructure, microservices and applications.

Under the terms of the agreement, Splunk will acquire SignalFx for a total purchase price of approximately $1.05 billion, subject to adjustment, to be paid approximately 60% in cash and 40% in Splunk common stock. The acquisition is expected to close in the second half of fiscal 2020, subject to customary closing conditions and regulatory reviews.

“Data fuels the modern business, and the acquisition of SignalFx squarely puts Splunk in position as a leader in monitoring and observability at massive scale,” said Doug Merritt, President and CEO, Splunk. “SignalFx will support our continued commitment to giving customers one platform that can monitor the entire enterprise application lifecycle. We are also incredibly impressed by the SignalFx team and leadership, whose expertise and professionalism are a strong addition to the Splunk family.”

“By joining Splunk, we will create a powerful monitoring platform - one ready to support CIOs whether they have fully embraced cloud or have existing applications in the data center,” said Karthik Rau, Founder and CEO, SignalFx. “As the world continues to move towards complex, cloud-first architectures, Splunk and SignalFx is the new approach needed to monitor and observe cloud-native infrastructure and applications in real time, whether via logs, metrics or tracing. The SignalFx team is thrilled to join Splunk to help CIOs capitalize upon the modern application portfolio.”

Real-Time Monitoring of Any Data at Any Scale

Business is evolving at a speed that requires new approaches for software development, deployment and monitoring. Cloud-native technologies such as microservices, containers, orchestrated environments like Docker and Kubernetes, and serverless functions are fueling business outcomes not anticipated just a few years ago as data volumes continue to grow exponentially. At the same time, they introduce unique challenges to IT professionals and developers tasked with ensuring high availability and seamless operations. This is partly why IDC, “continues to expect that SaaS-based solutions (in APM) will grow at triple the rate of on-premises solutions over the next five years…” (IDC, Worldwide Application Performance Management Software Forecast, 2019-2023)

The combination of Splunk and SignalFx will give IT and developers a data platform that allows them to monitor and observe data in real time, no matter the infrastructure or data volume, helping them cut costs, boost revenue and improve the customer experience. This enables organizations to work across their entire data landscape, not just silos in the data center or cloud-native environments.

According to Gartner, “by 2022, more than 75% of global organizations will be running containerized applications in production, which is a significant increase from fewer than 30% today.”** Customers will be able to use Splunk and SignalFx technology to deploy applications in the cloud, on-premises, or in hybrid environments and get real-time observability and response across all of these systems with a single interconnected platform. (Gartner, Inc., Best Practices for Running Containers and Kubernetes in Production, Arun Chandrasekaran, 25 February 2019.)

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...