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FrontRange Releases HEAT 2014.1

FrontRange announced the latest major release of its HEAT Service Management solution.

HEAT 2014.1 provides IT service desks with critical new features that dramatically improve workflow processes, extend service catalog support, strengthen hybrid voice capabilities and provide additional asset discovery functionality, all through an upgraded administrator UI.

HEAT Cloud 2014.1 includes over a dozen new major features including:

- Service Catalog enhancements: extended access to external service requests from a centralized Service Catalog, allowing end-users to view all available service requests—including those fulfilled by 3rd part vendors—from a single catalog.

- Hybrid Voice: new approach only requires https connection and implements enhanced management via HEAT administrator.

- Workflow enhancements: extended service design workflow includes new “Hourly schedules”; new “Export Data” and “Runs Program” Quick Actions, tracking dynamic “Get Approver” behavior, and new Time-Out monitoring.

- Import XML files: now supported.

- System functions: major system updates support larger file imports (up to 500mb), new user functions, escalation resets, and the linking, unlinking, and deletion of events.

- Discovery enhancements: supports new client OS’s and provides easier management through HEAT’s upgraded Administrator.

- Localization updates: provides a context-sensitive localization editor for multi-regional use.

- Currency data type: handles new organizational data types that deliver multi-currency support and tracks both value and type.

- HEAT web services API – service catalog: dramatically extends support for the service catalog by categorizing service requests, listing request offerings, fetching subscription IDs associated with service requests and more.

“HEAT 2014.1 contains a host of productivity and ease-of-use improvements that will significantly boost the operational efficiency of our customers’ service desks,” said Udo Waibel, CTO at FrontRange. “FrontRange’s ongoing commitment to product innovation is driven by our customers’ growing reliance on our service management platform that is a foundation for running their business.”

FrontRange’s HEAT Hybrid IT platform delivers IT Service Management benefits that address CIO-level and IT administrator needs across three primary dimensions:

- Maximizes operational efficiencies by reducing ser¬vice desk call volume by up to 80% and time spent on application deployment by up to 95%.

- Reduces IT costs by reducing downtime due to un¬planned or unapproved changes by up to 75% and reducing total cost of ownership (TCO) costs by up to 70%.

- Improves service quality and compliance by reducing the number of status calls received by up to 80% and reducing troubleshooting efforts by up to 85%.

HEAT Cloud 2014.1 is now generally available.

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FrontRange Releases HEAT 2014.1

FrontRange announced the latest major release of its HEAT Service Management solution.

HEAT 2014.1 provides IT service desks with critical new features that dramatically improve workflow processes, extend service catalog support, strengthen hybrid voice capabilities and provide additional asset discovery functionality, all through an upgraded administrator UI.

HEAT Cloud 2014.1 includes over a dozen new major features including:

- Service Catalog enhancements: extended access to external service requests from a centralized Service Catalog, allowing end-users to view all available service requests—including those fulfilled by 3rd part vendors—from a single catalog.

- Hybrid Voice: new approach only requires https connection and implements enhanced management via HEAT administrator.

- Workflow enhancements: extended service design workflow includes new “Hourly schedules”; new “Export Data” and “Runs Program” Quick Actions, tracking dynamic “Get Approver” behavior, and new Time-Out monitoring.

- Import XML files: now supported.

- System functions: major system updates support larger file imports (up to 500mb), new user functions, escalation resets, and the linking, unlinking, and deletion of events.

- Discovery enhancements: supports new client OS’s and provides easier management through HEAT’s upgraded Administrator.

- Localization updates: provides a context-sensitive localization editor for multi-regional use.

- Currency data type: handles new organizational data types that deliver multi-currency support and tracks both value and type.

- HEAT web services API – service catalog: dramatically extends support for the service catalog by categorizing service requests, listing request offerings, fetching subscription IDs associated with service requests and more.

“HEAT 2014.1 contains a host of productivity and ease-of-use improvements that will significantly boost the operational efficiency of our customers’ service desks,” said Udo Waibel, CTO at FrontRange. “FrontRange’s ongoing commitment to product innovation is driven by our customers’ growing reliance on our service management platform that is a foundation for running their business.”

FrontRange’s HEAT Hybrid IT platform delivers IT Service Management benefits that address CIO-level and IT administrator needs across three primary dimensions:

- Maximizes operational efficiencies by reducing ser¬vice desk call volume by up to 80% and time spent on application deployment by up to 95%.

- Reduces IT costs by reducing downtime due to un¬planned or unapproved changes by up to 75% and reducing total cost of ownership (TCO) costs by up to 70%.

- Improves service quality and compliance by reducing the number of status calls received by up to 80% and reducing troubleshooting efforts by up to 85%.

HEAT Cloud 2014.1 is now generally available.

The Latest

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 ...