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Virtana Acquires Zenoss

Virtana has acquired Zenoss, a provider of real-time IT service monitoring and AI-powered event intelligence. 

This strategic acquisition aims to bridge the gap between service visibility and infrastructure control in hybrid environments. The increased scale of Virtana and Zenoss will enable greater opportunity for accelerated investment and innovation.

The combined entity introduces a unified observability platform, empowering IT and risk management teams to trace incidents from business-service impact to underlying infrastructure behavior through a single, AI-powered lens. By correlating real-time user impact, service topology, and hybrid infrastructure telemetry, this integration enables customers to quickly pinpoint failures, performance issues, and cost drivers, eliminating blind spots and accelerating resolution.

"This acquisition isn't just an expansion of our capabilities, it's a strategic shift toward end-to-end control over hybrid infrastructure performance, cost, and risk — closing existing gaps in observability," said Paul Appleby, CEO and president of Virtana. "By bringing Zenoss' service-centric event intelligence together with Virtana Platform's deep infrastructure and cost analytics, we're eliminating the blind spots left by legacy monitoring tools. We're excited to join forces with Zenoss to continue Virtana's mission in driving innovation within observability."

Greg Stock, CEO of Zenoss, added, "Large enterprises, government institutions, and managed service providers rely on Zenoss to keep mission-critical services running. The combination of Zenoss and Virtana gives our customers and partners access to broader visibility, deeper infrastructure analytics, and a unified strategy for improving resilience, performance, and operational efficiency. This is a huge day for Zenoss — we're thrilled to be joining the Virtana team."

Why the Combination Matters:

  • Unified Observability - The combination of Virtana and Zenoss creates the first platform to provide Full-Stack Observability from top-level services to the deepest level infrastructure. Virtana offers deep insights from over 16,000+ metrics for infrastructure and container observability, while Zenoss provides enhanced event intelligence for hundreds of out-of-the-box infrastructure and application services.
  • AI-Driven Resilience - Combines Zenoss' model-informed AIOps with real-time IT service mapping, event correlation, and real-time topology visualization with Virtana's agentic AI and machine-learning models for capacity and cost optimization. These capabilities expand intelligent automation and accelerate predictive root-cause analysis and remediation.
  • Proactive Prevention - While some system disruptions are caused by external cyberattacks, most result from internal failures—misconfigurations, capacity limits, cascading service degradation, or delayed detection. The combined platform helps IT and operations teams surface issues earlier, understand their impact faster, and take action before they disrupt business continuity.
  • Operational Efficiency - Customers have achieved up to 95% faster MTTR and 99.999% uptime by combining early warning signals with AI-driven event intelligence that accelerates root-cause analysis, enabling IT leaders to fix problems faster, forecast risk, prioritize investments, and justify spend with data-backed precision.
  • Market Position - A hybrid observability platform for on-premises infrastructure, legacy data center workloads, containerized microservices, and multicloud resources, eliminating tool sprawl and simplifying platform consolidation and modernization strategies.
  • Accelerated Innovation Road Map - Combined R&D capabilities fast track forthcoming features, including automated remediation and optimization for AI and ephemeral workloads, all within the Virtana Platform.

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Virtana Acquires Zenoss

Virtana has acquired Zenoss, a provider of real-time IT service monitoring and AI-powered event intelligence. 

This strategic acquisition aims to bridge the gap between service visibility and infrastructure control in hybrid environments. The increased scale of Virtana and Zenoss will enable greater opportunity for accelerated investment and innovation.

The combined entity introduces a unified observability platform, empowering IT and risk management teams to trace incidents from business-service impact to underlying infrastructure behavior through a single, AI-powered lens. By correlating real-time user impact, service topology, and hybrid infrastructure telemetry, this integration enables customers to quickly pinpoint failures, performance issues, and cost drivers, eliminating blind spots and accelerating resolution.

"This acquisition isn't just an expansion of our capabilities, it's a strategic shift toward end-to-end control over hybrid infrastructure performance, cost, and risk — closing existing gaps in observability," said Paul Appleby, CEO and president of Virtana. "By bringing Zenoss' service-centric event intelligence together with Virtana Platform's deep infrastructure and cost analytics, we're eliminating the blind spots left by legacy monitoring tools. We're excited to join forces with Zenoss to continue Virtana's mission in driving innovation within observability."

Greg Stock, CEO of Zenoss, added, "Large enterprises, government institutions, and managed service providers rely on Zenoss to keep mission-critical services running. The combination of Zenoss and Virtana gives our customers and partners access to broader visibility, deeper infrastructure analytics, and a unified strategy for improving resilience, performance, and operational efficiency. This is a huge day for Zenoss — we're thrilled to be joining the Virtana team."

Why the Combination Matters:

  • Unified Observability - The combination of Virtana and Zenoss creates the first platform to provide Full-Stack Observability from top-level services to the deepest level infrastructure. Virtana offers deep insights from over 16,000+ metrics for infrastructure and container observability, while Zenoss provides enhanced event intelligence for hundreds of out-of-the-box infrastructure and application services.
  • AI-Driven Resilience - Combines Zenoss' model-informed AIOps with real-time IT service mapping, event correlation, and real-time topology visualization with Virtana's agentic AI and machine-learning models for capacity and cost optimization. These capabilities expand intelligent automation and accelerate predictive root-cause analysis and remediation.
  • Proactive Prevention - While some system disruptions are caused by external cyberattacks, most result from internal failures—misconfigurations, capacity limits, cascading service degradation, or delayed detection. The combined platform helps IT and operations teams surface issues earlier, understand their impact faster, and take action before they disrupt business continuity.
  • Operational Efficiency - Customers have achieved up to 95% faster MTTR and 99.999% uptime by combining early warning signals with AI-driven event intelligence that accelerates root-cause analysis, enabling IT leaders to fix problems faster, forecast risk, prioritize investments, and justify spend with data-backed precision.
  • Market Position - A hybrid observability platform for on-premises infrastructure, legacy data center workloads, containerized microservices, and multicloud resources, eliminating tool sprawl and simplifying platform consolidation and modernization strategies.
  • Accelerated Innovation Road Map - Combined R&D capabilities fast track forthcoming features, including automated remediation and optimization for AI and ephemeral workloads, all within the Virtana Platform.

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...