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Splunk to Acquire Plumbr and Rigor

Splunk has completed the acquisition of Plumbr, an application performance monitoring (APM) company offering auto-instrumentation, Real User Monitoring and deep application performance insights for enterprise applications.

Splunk also announced that it has signed a definitive agreement to acquire Rigor, a digital experience monitoring (DEM) company offering advanced synthetic monitoring and optimization tools. Rigor’s solutions help customers optimize end-user experiences in digital channels.

With both acquisitions and product integrations, Splunk will significantly expand its APM and DEM capabilities. The combined power of Splunk’s Observability Suite will ultimately give customers a seamless, end-to-end observability experience to help guide them across both cloud and on-premises environments, as well as the software architecture transformations occurring with applications.

“The global acceleration to multicloud and hybrid cloud architectures has created an observability revolution. Development, operations and IT teams everywhere require real-time, full-fidelity and ML-driven solutions that can help them quickly and confidently modernize and build cloud-native applications,” said Tim Tully, CTO, Splunk. “Together, Plumbr and Rigor accelerate Splunk’s vision to deliver a comprehensive Observability Suite with best-in-class DEM and APM for all applications. Splunk is the industry’s leading enterprise-grade Observability Suite providing customers with a complete, full-fidelity view into their data.”

Plumbr offers advanced instrumentation, profiling and Real User Monitoring (RUM) capabilities, which are critical to monitoring Java, PHP, Python and .Net applications. The addition of Plumbr’s technology to Splunk’s Observability Suite gives customers unprecedented monitoring and troubleshooting of existing applications, as well as RUM, database monitoring and code profiling capabilities.

“I am proud of the work Plumbr has accomplished over the past nine years in building a dynamic APM platform,” said Priit Potter, CEO and Co-Founder of Plumbr. “Technical talent is incredibly difficult to find, and Plumbr is beaming with some of the brightest minds in DevOps. We’re looking forward to diving in with the Splunk team and helping the company expand its vision to bring data to everything.”

Rigor delivers a unique DEM platform that combines the power of synthetic monitoring with an intelligent optimization engine to help customers find, fix and prevent web and API performance issues impacting user experiences. Rigor’s solutions can complement Splunk’s newly announced RUM offering as part of the company’s best-in-class Observability Suite.

“The combination of Splunk’s existing observability portfolio with Rigor and Plumbr will help our customers accelerate their digital transformations at the speed demanded by modern business,” added Craig Hyde, CEO of Rigor. “I can’t think of a better cultural and technological partner to join forces with than Splunk, and am looking forward to helping Splunk’s customers leverage Rigor to turn data into doing.”

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Splunk to Acquire Plumbr and Rigor

Splunk has completed the acquisition of Plumbr, an application performance monitoring (APM) company offering auto-instrumentation, Real User Monitoring and deep application performance insights for enterprise applications.

Splunk also announced that it has signed a definitive agreement to acquire Rigor, a digital experience monitoring (DEM) company offering advanced synthetic monitoring and optimization tools. Rigor’s solutions help customers optimize end-user experiences in digital channels.

With both acquisitions and product integrations, Splunk will significantly expand its APM and DEM capabilities. The combined power of Splunk’s Observability Suite will ultimately give customers a seamless, end-to-end observability experience to help guide them across both cloud and on-premises environments, as well as the software architecture transformations occurring with applications.

“The global acceleration to multicloud and hybrid cloud architectures has created an observability revolution. Development, operations and IT teams everywhere require real-time, full-fidelity and ML-driven solutions that can help them quickly and confidently modernize and build cloud-native applications,” said Tim Tully, CTO, Splunk. “Together, Plumbr and Rigor accelerate Splunk’s vision to deliver a comprehensive Observability Suite with best-in-class DEM and APM for all applications. Splunk is the industry’s leading enterprise-grade Observability Suite providing customers with a complete, full-fidelity view into their data.”

Plumbr offers advanced instrumentation, profiling and Real User Monitoring (RUM) capabilities, which are critical to monitoring Java, PHP, Python and .Net applications. The addition of Plumbr’s technology to Splunk’s Observability Suite gives customers unprecedented monitoring and troubleshooting of existing applications, as well as RUM, database monitoring and code profiling capabilities.

“I am proud of the work Plumbr has accomplished over the past nine years in building a dynamic APM platform,” said Priit Potter, CEO and Co-Founder of Plumbr. “Technical talent is incredibly difficult to find, and Plumbr is beaming with some of the brightest minds in DevOps. We’re looking forward to diving in with the Splunk team and helping the company expand its vision to bring data to everything.”

Rigor delivers a unique DEM platform that combines the power of synthetic monitoring with an intelligent optimization engine to help customers find, fix and prevent web and API performance issues impacting user experiences. Rigor’s solutions can complement Splunk’s newly announced RUM offering as part of the company’s best-in-class Observability Suite.

“The combination of Splunk’s existing observability portfolio with Rigor and Plumbr will help our customers accelerate their digital transformations at the speed demanded by modern business,” added Craig Hyde, CEO of Rigor. “I can’t think of a better cultural and technological partner to join forces with than Splunk, and am looking forward to helping Splunk’s customers leverage Rigor to turn data into doing.”

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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 ...

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 ...