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Halcyon Announces Spooled File Manager 9.0 for IBM i

Systems management software provider, Halcyon Software, announced a major release of one of its key products - the Spooled File Manager v9.0 for the IBM i platform.

Spooled File Manager v9.0 is a comprehensive spooled file distribution and archiving tool which offers real-time spooled file monitoring, filtering and fast retrieval of archived spooled files. It performs actions on spooled files without the need for program changes such as automatically emailing the summary page of a report or converting them into PDFs or HTML web pages.

Enhancements include:

- The capability of archiving files has been substantially enhanced so that archived spooled files can be retrieved in sub seconds. There are no limits to the number of spooled files that can be stored within an archived file.

- The new version now has the capability of defining “Subset Templates”, for example by department, type, user or any combination, so that spooled files or archived spooled files can be viewed according to defined categories.

- New authorization features within the software give security administrators the ability to define by default or individually permit which subset templates members of staff can use, thereby restricting the spooled files they can view at the user level.

- Other changes have been made to the software to significantly improve performance by using smart caching techniques.

- A further enhancement in the new version enables system administrators to use “report types” to identify spooled files and define the archive and retention periods.

Donnie MacColl, Technical Services Director, Halcyon Software, said, “Our customers really rely on the automatic distribution of their reports and being able to archive significant volumes of spooled files. However they also need superfast retrieval. This major upgrade has been designed to provide all the scalability they need for efficient authorisation, reporting and retrieval. Coming soon in May 2012 is phase 2; a new software suite for advanced management of spooled files. It will include a web based interface with point and click functionality.”

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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 ...

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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 ...

Halcyon Announces Spooled File Manager 9.0 for IBM i

Systems management software provider, Halcyon Software, announced a major release of one of its key products - the Spooled File Manager v9.0 for the IBM i platform.

Spooled File Manager v9.0 is a comprehensive spooled file distribution and archiving tool which offers real-time spooled file monitoring, filtering and fast retrieval of archived spooled files. It performs actions on spooled files without the need for program changes such as automatically emailing the summary page of a report or converting them into PDFs or HTML web pages.

Enhancements include:

- The capability of archiving files has been substantially enhanced so that archived spooled files can be retrieved in sub seconds. There are no limits to the number of spooled files that can be stored within an archived file.

- The new version now has the capability of defining “Subset Templates”, for example by department, type, user or any combination, so that spooled files or archived spooled files can be viewed according to defined categories.

- New authorization features within the software give security administrators the ability to define by default or individually permit which subset templates members of staff can use, thereby restricting the spooled files they can view at the user level.

- Other changes have been made to the software to significantly improve performance by using smart caching techniques.

- A further enhancement in the new version enables system administrators to use “report types” to identify spooled files and define the archive and retention periods.

Donnie MacColl, Technical Services Director, Halcyon Software, said, “Our customers really rely on the automatic distribution of their reports and being able to archive significant volumes of spooled files. However they also need superfast retrieval. This major upgrade has been designed to provide all the scalability they need for efficient authorisation, reporting and retrieval. Coming soon in May 2012 is phase 2; a new software suite for advanced management of spooled files. It will include a web based interface with point and click functionality.”

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 ...