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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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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

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 ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...