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Gluware 5.4 Released

Gluware announced the release of Gluware 5.4, an update that significantly expands the platform's prebuilt and multi-vendor capabilities.

Gluware 5.4 empowers IT leaders with unmatched network discovery – the industry's most comprehensive for efficient device onboarding – alongside the ability to seamlessly run Ansible Playbook tasks directly within Gluware, and add custom commands for unprecedented control and automation flexibility. Gluware 5.4 builds upon the company's commitment to delivering the industry's most user-friendly and most reliable prebuilt, multi-vendor network automation platform.

"Network downtime is becoming a relic of the past for many enterprises thanks to intelligent network automation and self-operating and self-healing enterprise networks," said Ernest Lefner, Chief Product Officer at Gluware. "In today's hyper-connected world, businesses operate at lightning speed, and even a minor network blip can have a major ripple effect. Gluware's laser-focus on intelligent network automation empowers IT leaders to enter this new era of connectivity with confidence. Gluware 5.4 delivers the industry's most powerful network discovery capabilities, seamless Ansible Playbook task integration, and unmatched customization – all designed to ensure peak network performance and empower IT teams to focus on what matters most: driving business innovation."

Gluware 5.4 Ushers in a New Era of Network Automation with Key Enhancements:

■ Updated Network Discovery: Gluware 5.4 boasts the industry's most powerful discovery capabilities, providing a comprehensive and insightful view of your entire network landscape. The redesigned network discovery UI offers an intuitive user experience, while a new subnet-based search functionality and a create search job functionality helps users to streamline the discovery process. This is in addition to the existing seeded device and neighbor discovery method that uses ARP, LLDP and CDP.

■ Native Ansible Playbook Execution: Gluware 5.4 empowers users to seamlessly run Ansible playbook tasks directly within the Gluware platform. This is provided in the Network RPA app and provides new drag-and-drop tasks to run any user-defined playbook on a remote system with programmatic integration with the response using JSON.

■ Limitless Customization: Gluware 5.4 grants users unprecedented control over their network automation. The platform now allows you to add your own commands and tailor functionalities to meet your specific needs in the Network RPA app.

Additional Platform Upgrades:

- Streamlined ServiceNow CMDB Sync Configuration: The update simplifies ServiceNow Configuration Management Database (CMDB) sync configuration, ensuring seamless data flow and source of truth synchronization with the ability to easily define if Gluware or ServiceNow is the source for each field.

■ Allow List Commands: Gluware 5.4 introduces new configuration options for granular control over Command Line Interface (CLI) commands executed from the Gluware platform. These options allow administrators to define user policies for both read and write access, significantly reducing risk by ensuring only authorized commands are executed.

■ Expanded Vendor Support: Gluware 5.4 delivers multi-vendor support across its entire automation suite, enabling IT teams to manage heterogeneous network environments with exceptional efficiency. This update expands support in key areas:

- OS Manager: Automate OS upgrades/downgrades/patches for Cisco IOS XR and HPE/Aruba Aruba-CX devices.

- Config Model Editor: Simplify configuration management for Cisco IOS XR devices.

- Topology: Gain comprehensive network visibility with expanded support for Arista EOS.

- NIST Integration: Strengthen security posture with NIST CVE support for Arista EOS and Fortinet FortiGate devices.

- Enhanced OS Options Support: Manage Arista EOS, Cisco NXOS, and Juniper Junos devices with new features including the ability to ignore file integrity checks on standby supervisors, perform HA pair health checks, monitor boot flash status, and execute file system cleanups.

■ Network RPA Enhancements: Gluware 5.4 further extends the power of Network RPA with new features that streamline automation workflows, including drag-and-drop process automation, operational command execution, and per-target execution capabilities.

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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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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.

Gluware 5.4 Released

Gluware announced the release of Gluware 5.4, an update that significantly expands the platform's prebuilt and multi-vendor capabilities.

Gluware 5.4 empowers IT leaders with unmatched network discovery – the industry's most comprehensive for efficient device onboarding – alongside the ability to seamlessly run Ansible Playbook tasks directly within Gluware, and add custom commands for unprecedented control and automation flexibility. Gluware 5.4 builds upon the company's commitment to delivering the industry's most user-friendly and most reliable prebuilt, multi-vendor network automation platform.

"Network downtime is becoming a relic of the past for many enterprises thanks to intelligent network automation and self-operating and self-healing enterprise networks," said Ernest Lefner, Chief Product Officer at Gluware. "In today's hyper-connected world, businesses operate at lightning speed, and even a minor network blip can have a major ripple effect. Gluware's laser-focus on intelligent network automation empowers IT leaders to enter this new era of connectivity with confidence. Gluware 5.4 delivers the industry's most powerful network discovery capabilities, seamless Ansible Playbook task integration, and unmatched customization – all designed to ensure peak network performance and empower IT teams to focus on what matters most: driving business innovation."

Gluware 5.4 Ushers in a New Era of Network Automation with Key Enhancements:

■ Updated Network Discovery: Gluware 5.4 boasts the industry's most powerful discovery capabilities, providing a comprehensive and insightful view of your entire network landscape. The redesigned network discovery UI offers an intuitive user experience, while a new subnet-based search functionality and a create search job functionality helps users to streamline the discovery process. This is in addition to the existing seeded device and neighbor discovery method that uses ARP, LLDP and CDP.

■ Native Ansible Playbook Execution: Gluware 5.4 empowers users to seamlessly run Ansible playbook tasks directly within the Gluware platform. This is provided in the Network RPA app and provides new drag-and-drop tasks to run any user-defined playbook on a remote system with programmatic integration with the response using JSON.

■ Limitless Customization: Gluware 5.4 grants users unprecedented control over their network automation. The platform now allows you to add your own commands and tailor functionalities to meet your specific needs in the Network RPA app.

Additional Platform Upgrades:

- Streamlined ServiceNow CMDB Sync Configuration: The update simplifies ServiceNow Configuration Management Database (CMDB) sync configuration, ensuring seamless data flow and source of truth synchronization with the ability to easily define if Gluware or ServiceNow is the source for each field.

■ Allow List Commands: Gluware 5.4 introduces new configuration options for granular control over Command Line Interface (CLI) commands executed from the Gluware platform. These options allow administrators to define user policies for both read and write access, significantly reducing risk by ensuring only authorized commands are executed.

■ Expanded Vendor Support: Gluware 5.4 delivers multi-vendor support across its entire automation suite, enabling IT teams to manage heterogeneous network environments with exceptional efficiency. This update expands support in key areas:

- OS Manager: Automate OS upgrades/downgrades/patches for Cisco IOS XR and HPE/Aruba Aruba-CX devices.

- Config Model Editor: Simplify configuration management for Cisco IOS XR devices.

- Topology: Gain comprehensive network visibility with expanded support for Arista EOS.

- NIST Integration: Strengthen security posture with NIST CVE support for Arista EOS and Fortinet FortiGate devices.

- Enhanced OS Options Support: Manage Arista EOS, Cisco NXOS, and Juniper Junos devices with new features including the ability to ignore file integrity checks on standby supervisors, perform HA pair health checks, monitor boot flash status, and execute file system cleanups.

■ Network RPA Enhancements: Gluware 5.4 further extends the power of Network RPA with new features that streamline automation workflows, including drag-and-drop process automation, operational command execution, and per-target execution capabilities.

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.