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Rundeck Enterprise Released

Rundeck announced the availability of Rundeck Enterprise, the company’s enterprise-grade self-service operations platform.

Rundeck Enterprise includes an array of new features, integrations and services that make it easy for Ops teams to handle business-critical tasks, shorten request queues, securely empower users outside of Ops, and prioritize strategic projects.

Reactions, new to Rundeck Enterprise, automates responses to changing Ops conditions so Ops teams can focus on business growth initiatives. Replacing manual, repetitive work like compliance checks, ticket creation, and resource provisioning with Rundeck Reactions saves time and valuable Ops resources. New integration with Splunk makes it easy to track and share Ops activity across the enterprise.

“Rundeck delivers Self-Service Operations, the critical last mile in Digital and DevOps transformations.” said Damon Edwards, Co-Founder and Chief Product Officer at Rundeck. “Rundeck Enterprise provides the capabilities that enterprise Systems Administrators and SRE’s need to improve the speed and agility of their organization while simultaneously improving security and compliance. Self-service operations means fewer interruptions, fewer bottlenecks, and faster responses.”

Rundeck’s self-service operations approach replaces processes and tasks where IT and Operations teams are considered ‘bottlenecks’ to other teams’ progress. Operations teams benefit from full control of security policies and access rights, while delivering a direct path for colleagues to securely accomplish specific goals, resulting in improved productivity and morale.

Rundeck Enterprise is built for self-service operations, with a full complement of management and security features, as well as support and training services, that address the needs of global enterprises for high availability, enterprise management, and security.

Key features and benefits new to Rundeck Enterprise include:

- Reactions: Use Rundeck Enterprise to respond to changes, alerts, and events in your applications, infrastructure, monitoring, and ticketing. This event-driven automation kicks in when your monitoring notices a problem, and automatically gather timely troubleshooting data when any unusual or unexpected event occurs. Reduce the number of escalations to on-call staff and ensure that issues are resolved quickly and accurately with consistent information when staff do need to intervene. Increase Operations productivity by reducing interruptions to important work, while reducing the mean time to repair when staff really need to become involved.

- Splunk Integration: Easy sharing of operations information across the enterprise in a Splunk dashboard. The following applications are available:

Rundeck Enterprise App for Splunk: Trigger Rundeck jobs against your infrastructure and applications from Splunk alerts. Also includes Enterprise level reporting tools for Rundeck users, nodes, and projects. Users can easily produce activity reports for auditors and management, track job activities by user or node, and add data from Rundeck to existing Splunk dashboards and reporting for greater visibility into Ops activity.

Rundeck Solution for Splunk: Makes it easy for Splunk admins to offer Splunk self-service to their internal users. Deploying Splunk forwarders to new systems, adding and managing indexes and clusters, and creating and managing team-specific applications no longer require tickets and the long waits. Companies can leverage their Splunk investment and reduce the need for ticket queues to accomplish minor or major tasks and manage capacity usage for optimal performance.

- New Support and Training Programs: Professional support from Rundeck experts, robust onboarding programs, best practice training sessions with 1:1 tutorial options, and quarterly Rundeck health check sessions are now available to ensure customers maximize their Rundeck investment.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

Rundeck Enterprise Released

Rundeck announced the availability of Rundeck Enterprise, the company’s enterprise-grade self-service operations platform.

Rundeck Enterprise includes an array of new features, integrations and services that make it easy for Ops teams to handle business-critical tasks, shorten request queues, securely empower users outside of Ops, and prioritize strategic projects.

Reactions, new to Rundeck Enterprise, automates responses to changing Ops conditions so Ops teams can focus on business growth initiatives. Replacing manual, repetitive work like compliance checks, ticket creation, and resource provisioning with Rundeck Reactions saves time and valuable Ops resources. New integration with Splunk makes it easy to track and share Ops activity across the enterprise.

“Rundeck delivers Self-Service Operations, the critical last mile in Digital and DevOps transformations.” said Damon Edwards, Co-Founder and Chief Product Officer at Rundeck. “Rundeck Enterprise provides the capabilities that enterprise Systems Administrators and SRE’s need to improve the speed and agility of their organization while simultaneously improving security and compliance. Self-service operations means fewer interruptions, fewer bottlenecks, and faster responses.”

Rundeck’s self-service operations approach replaces processes and tasks where IT and Operations teams are considered ‘bottlenecks’ to other teams’ progress. Operations teams benefit from full control of security policies and access rights, while delivering a direct path for colleagues to securely accomplish specific goals, resulting in improved productivity and morale.

Rundeck Enterprise is built for self-service operations, with a full complement of management and security features, as well as support and training services, that address the needs of global enterprises for high availability, enterprise management, and security.

Key features and benefits new to Rundeck Enterprise include:

- Reactions: Use Rundeck Enterprise to respond to changes, alerts, and events in your applications, infrastructure, monitoring, and ticketing. This event-driven automation kicks in when your monitoring notices a problem, and automatically gather timely troubleshooting data when any unusual or unexpected event occurs. Reduce the number of escalations to on-call staff and ensure that issues are resolved quickly and accurately with consistent information when staff do need to intervene. Increase Operations productivity by reducing interruptions to important work, while reducing the mean time to repair when staff really need to become involved.

- Splunk Integration: Easy sharing of operations information across the enterprise in a Splunk dashboard. The following applications are available:

Rundeck Enterprise App for Splunk: Trigger Rundeck jobs against your infrastructure and applications from Splunk alerts. Also includes Enterprise level reporting tools for Rundeck users, nodes, and projects. Users can easily produce activity reports for auditors and management, track job activities by user or node, and add data from Rundeck to existing Splunk dashboards and reporting for greater visibility into Ops activity.

Rundeck Solution for Splunk: Makes it easy for Splunk admins to offer Splunk self-service to their internal users. Deploying Splunk forwarders to new systems, adding and managing indexes and clusters, and creating and managing team-specific applications no longer require tickets and the long waits. Companies can leverage their Splunk investment and reduce the need for ticket queues to accomplish minor or major tasks and manage capacity usage for optimal performance.

- New Support and Training Programs: Professional support from Rundeck experts, robust onboarding programs, best practice training sessions with 1:1 tutorial options, and quarterly Rundeck health check sessions are now available to ensure customers maximize their Rundeck investment.

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...