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Stratus Technologies Introduces everRun Enterprise

Stratus Technologies announced the launch of everRun Enterprise, its next-generation software solution.

This solution, which represents the latest addition to the Stratus portfolio, includes enhanced features such as disaster recovery and application monitoring to ensure business continuity.

everRun Enterprise unifies the ease of use, monitoring, management and service capabilities of the Avance high-availability software with the fault-tolerant engine of previous generations of everRun.

Additionally, the entire solution now leverages the open source Kernel Virtual Machine (KVM) hypervisor. The result of this new architecture is a higher performance software platform that supports a wider range of operating system guest workloads.

“This is significant since some customers have resisted migrating business-critical applications to virtualized architectures due to a lack of reliable, enterprise-grade availability in today’s hypervisors,” said Jason Andersen, Senior Director of Product Management at Stratus Technologies. “We also see a very similar requirement in private clouds. This technology will be the basis of our cloud strategy as well.”

Andersen continued, “With everRun Enterprise, we are continuing to provide our partners and customers with more flexible solutions to solve their availability challenges. By moving the capabilities of downtime prevention and recovery from hardware to software, Stratus is the first company to deliver a solution for an emerging category called Software Defined Availability.”

This solution comes at a time when incidences of downtime continue to hit the headlines, and the cost of downtime continues to rise. According to the Aberdeen Group, the cost of downtime increased by 40 percent in the three year period 2010 to 2013.

everRun Enterprise is designed to keep Windows and Linux applications up and running continuously without changes to applications or in-flight data loss. It is compatible with a wide range of platforms, is easy to implement and includes centralized management tools for an all-encompassing view of the entire stack – from bare metal to the applications. The software runs on industry-standard Intel-based x86 servers without the need for specialized IT skills. everRun Enterprise prevents downtime from occurring rather than merely recovering from it – a difference that can have a significant impact on revenues, costs and customer satisfaction.

everRun Enterprise includes the following features:

• Availability Engine – achieves always-on availability with applications mirrored in two virtual machines with no data loss or machine restarts

• Split-site Cross Campus – provides application fault tolerance across geographically separated sites

• Disaster Recovery – mitigates the impact disaster has on the bottom line by using a built-in asynchronous replication between sites over a wide area network connection

• Stratus One View console – enables users to build, designate, deploy, monitor and manage everRun instances and virtual machines from one centralized location

• System Watchdog and Alerting Service – constantly monitors systems and automatically sends a system-level notification should a fault occur

• Application Monitoring – reduces downtime as well as simplifying, accelerating and optimizing performance by providing visibility across IT environments and delivering automatic diagnosis

“This launch signals a change in strategy for Stratus,” said Nigel Dessau, CMO at Stratus Technologies. “We are broadening our focus on fault tolerance – which ensures the highest levels of availability – beyond hardware, to virtual workloads on commodity servers. In effect, we are bringing mainframe-like levels of availability to Intel-based servers.”

everRun Enterprise will be available on February 28, 2014. Disaster Recovery, Split-site and Application Monitoring will be separately chargeable features.

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Stratus Technologies Introduces everRun Enterprise

Stratus Technologies announced the launch of everRun Enterprise, its next-generation software solution.

This solution, which represents the latest addition to the Stratus portfolio, includes enhanced features such as disaster recovery and application monitoring to ensure business continuity.

everRun Enterprise unifies the ease of use, monitoring, management and service capabilities of the Avance high-availability software with the fault-tolerant engine of previous generations of everRun.

Additionally, the entire solution now leverages the open source Kernel Virtual Machine (KVM) hypervisor. The result of this new architecture is a higher performance software platform that supports a wider range of operating system guest workloads.

“This is significant since some customers have resisted migrating business-critical applications to virtualized architectures due to a lack of reliable, enterprise-grade availability in today’s hypervisors,” said Jason Andersen, Senior Director of Product Management at Stratus Technologies. “We also see a very similar requirement in private clouds. This technology will be the basis of our cloud strategy as well.”

Andersen continued, “With everRun Enterprise, we are continuing to provide our partners and customers with more flexible solutions to solve their availability challenges. By moving the capabilities of downtime prevention and recovery from hardware to software, Stratus is the first company to deliver a solution for an emerging category called Software Defined Availability.”

This solution comes at a time when incidences of downtime continue to hit the headlines, and the cost of downtime continues to rise. According to the Aberdeen Group, the cost of downtime increased by 40 percent in the three year period 2010 to 2013.

everRun Enterprise is designed to keep Windows and Linux applications up and running continuously without changes to applications or in-flight data loss. It is compatible with a wide range of platforms, is easy to implement and includes centralized management tools for an all-encompassing view of the entire stack – from bare metal to the applications. The software runs on industry-standard Intel-based x86 servers without the need for specialized IT skills. everRun Enterprise prevents downtime from occurring rather than merely recovering from it – a difference that can have a significant impact on revenues, costs and customer satisfaction.

everRun Enterprise includes the following features:

• Availability Engine – achieves always-on availability with applications mirrored in two virtual machines with no data loss or machine restarts

• Split-site Cross Campus – provides application fault tolerance across geographically separated sites

• Disaster Recovery – mitigates the impact disaster has on the bottom line by using a built-in asynchronous replication between sites over a wide area network connection

• Stratus One View console – enables users to build, designate, deploy, monitor and manage everRun instances and virtual machines from one centralized location

• System Watchdog and Alerting Service – constantly monitors systems and automatically sends a system-level notification should a fault occur

• Application Monitoring – reduces downtime as well as simplifying, accelerating and optimizing performance by providing visibility across IT environments and delivering automatic diagnosis

“This launch signals a change in strategy for Stratus,” said Nigel Dessau, CMO at Stratus Technologies. “We are broadening our focus on fault tolerance – which ensures the highest levels of availability – beyond hardware, to virtual workloads on commodity servers. In effect, we are bringing mainframe-like levels of availability to Intel-based servers.”

everRun Enterprise will be available on February 28, 2014. Disaster Recovery, Split-site and Application Monitoring will be separately chargeable features.

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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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...