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Heroix Longitude Offers Access to Performance Data

Heroix now provides access to IT performance data for managers and executives through new risk management and security capabilities for Heroix Longitude.

This new capability enables rapid management access to information on IT performance, safeguards the software's monitoring and alert settings, and improves IT team productivity.

Because managers need information on IT infrastructure and application health, Longitude's new look, but don't touch feature allows them to quickly see what is happening through their own read-only role in the Heroix monitoring solution. Longitude is an easy-to-use, affordable monitoring solution that companies use to track the health of their physical and virtual IT infrastructure: multiple operating systems, web servers, databases, messaging and networks.

Heroix added the read-only access role to Longitude to improve an organization's ability to share vital IT system and application information with more individuals and groups throughout the company, while reducing operational risks that could arise if the software's settings were inappropriately changed.

"As IT has been recognized as the engine that runs all companies, more people in different roles want to understand and be aware of how IT systems and applications are performing," noted Rick Lane, CEO, Heroix. "However, not everyone in the company needs the ability to change what is being monitored or when alerts should occur."

The look, but don't touch capability provides easy-to-access information to users granted entry into Longitude, while eliminating the risk of them making changes to the monitoring software that could have business-stopping implications.

"If problems occur after a user with inappropriate access turned off monitoring or alerts, the people who could remedy the problem quickly wouldn't even know about it, leading to significant operational and financial consequences," Lane explained. "For example, if a major retailer's web site was experiencing performance problems and no one at the company knew, hundreds of thousands of dollars in sales could be lost in just a few short hours."

Those with a read-only role are able to view critical alerts and dashboards that show performance and availability, as well as create and run their own reports or view reports that have been automatically generated for their consumption. The read-only role helps administrators grant easy access to Longitude's reports for business managers and other executives.

All editions of Heroix Longitude are available on tablets and smartphones, providing on-the-go access to information about critical applications, servers, networks, and virtualized 24x7 environments. Heroix designed its own mobile support capability specifically for Longitude, insuring that it avoids common third-party app problems such as instability or poor coding.

Longitude 9.0 is available now.

The Latest

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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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 ...

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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.

Heroix Longitude Offers Access to Performance Data

Heroix now provides access to IT performance data for managers and executives through new risk management and security capabilities for Heroix Longitude.

This new capability enables rapid management access to information on IT performance, safeguards the software's monitoring and alert settings, and improves IT team productivity.

Because managers need information on IT infrastructure and application health, Longitude's new look, but don't touch feature allows them to quickly see what is happening through their own read-only role in the Heroix monitoring solution. Longitude is an easy-to-use, affordable monitoring solution that companies use to track the health of their physical and virtual IT infrastructure: multiple operating systems, web servers, databases, messaging and networks.

Heroix added the read-only access role to Longitude to improve an organization's ability to share vital IT system and application information with more individuals and groups throughout the company, while reducing operational risks that could arise if the software's settings were inappropriately changed.

"As IT has been recognized as the engine that runs all companies, more people in different roles want to understand and be aware of how IT systems and applications are performing," noted Rick Lane, CEO, Heroix. "However, not everyone in the company needs the ability to change what is being monitored or when alerts should occur."

The look, but don't touch capability provides easy-to-access information to users granted entry into Longitude, while eliminating the risk of them making changes to the monitoring software that could have business-stopping implications.

"If problems occur after a user with inappropriate access turned off monitoring or alerts, the people who could remedy the problem quickly wouldn't even know about it, leading to significant operational and financial consequences," Lane explained. "For example, if a major retailer's web site was experiencing performance problems and no one at the company knew, hundreds of thousands of dollars in sales could be lost in just a few short hours."

Those with a read-only role are able to view critical alerts and dashboards that show performance and availability, as well as create and run their own reports or view reports that have been automatically generated for their consumption. The read-only role helps administrators grant easy access to Longitude's reports for business managers and other executives.

All editions of Heroix Longitude are available on tablets and smartphones, providing on-the-go access to information about critical applications, servers, networks, and virtualized 24x7 environments. Heroix designed its own mobile support capability specifically for Longitude, insuring that it avoids common third-party app problems such as instability or poor coding.

Longitude 9.0 is available now.

The Latest

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 ...

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.