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SolarWinds Launches SW1, an Agentic AI Teammate to Power the Next Era of IT Automation

Built on the SolarWinds Agentic Framework, SW1 brings unified, governed AI to how organizations observe, manage, and protect their IT systems

SolarWinds introduced SW1™, marking a fundamental shift in how IT organizations operate. 

More than a feature, SW1 is an agentic AI teammate: a governed AI identity built to help move IT teams from reactive problem-solving to autonomous operational resilience, across on-premises data centers, private cloud, public cloud, and the hybrid architectures that connect them. Built on the SolarWinds® Agentic Framework and grounded in AI by Design principles, SW1 gives organizations a single trusted interface to orchestrate AI across their entire environment.

The technology landscape has become increasingly complex, with hybrid environments expanding, multi-cloud now standard, and pressure on IT teams rising. In response, organizations are prioritizing greater visibility, faster detection, and increased automation to drive autonomous operational resilience.

Across both SolarWinds Observability Self-Hosted and SaaS, SW1 addresses this new reality enabling IT teams to use natural language to query agents and gain unified insights into system performance, capacity, and health. Built on the SolarWinds Agentic Framework and guided by AI by Design principles, it delivers responsible and secure AI rooted in trust and accountability.

"The organizations succeeding in this new era will be defined by how quickly they can move their IT leadership from managing complexity to driving strategy. SW1 makes that possible, by shifting teams from manual, reactive operations to intelligent, autonomous infrastructure that anticipates problems before users encounter them,” said Cullen Childress, Chief Product Officer, SolarWinds. “This isn't just about operational efficiency. It's about giving your best people the room to architect what comes next, while SW1 handles the operational weight underneath."

SW1 in the Future

SolarWinds also announced upcoming enhancements to SW1 in the coming quarters, extending it beyond insights to include service reliability, governance, and autonomous issue resolution. New capabilities include:

  • Improving operational health: SW1 will predict SLO/SLA risk and enable proactive intervention, including generating runbooks, workflows, and scripts from existing knowledge bases.
  • Streamlining onboarding and time-to-value: It will automatically discover unmanaged assets and recommend monitoring coverage, while creating initial dashboards, alerts, and service views.
  • Reducing alert noise: SW1 will filter duplicate and low-value alerts, correlate related signals, and surface the most critical, actionable issues.
  • Strengthening security and compliance: Built on SolarWinds AI by Design principles, SW1 will extend governance with customer-defined guardrails to help ensure compliant, policy-aligned actions.

From Operator to Orchestrator

SW1 was purpose-built for what’s happening in today’s IT landscape. Moreover, decades of SolarWinds experience and partnerships with industry stakeholders informed just what today’s IT teams would need to navigate the fundamental shift currently taking place. According to the 2026 IT Trends Report: The Human Side of Autonomous IT, 80% of surveyed IT professionals say their role is shifting from operator to orchestrator — taking on new responsibilities like interpreting AI-driven insights (59%), designing intelligent workflows (56%), and validating AI outputs (47%). SW1 is built for exactly that reality — making it easier to gather and act on AI-generated insights, establish trust in AI outputs, and serve as the central command as IT pros build the agentic workflows that increasingly power critical business functions.

Paving the Path to Operational Resilience

When SolarWinds first announced its vision for autonomous operational resilience, the goal was to empower organizations to more seamlessly unify their systems, proactively address issues, and automate workflows across their IT environments. SW1 represents the next step in that vision, and with additional capabilities rolling out throughout 2026, it is designed to grow alongside the teams and organizations it serves.

SW1 is currently available in SolarWinds Observability SaaS and Self-Hosted IT environments. 

Additional SW1 capabilities will be available throughout 2026.

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.

SolarWinds Launches SW1, an Agentic AI Teammate to Power the Next Era of IT Automation

Built on the SolarWinds Agentic Framework, SW1 brings unified, governed AI to how organizations observe, manage, and protect their IT systems

SolarWinds introduced SW1™, marking a fundamental shift in how IT organizations operate. 

More than a feature, SW1 is an agentic AI teammate: a governed AI identity built to help move IT teams from reactive problem-solving to autonomous operational resilience, across on-premises data centers, private cloud, public cloud, and the hybrid architectures that connect them. Built on the SolarWinds® Agentic Framework and grounded in AI by Design principles, SW1 gives organizations a single trusted interface to orchestrate AI across their entire environment.

The technology landscape has become increasingly complex, with hybrid environments expanding, multi-cloud now standard, and pressure on IT teams rising. In response, organizations are prioritizing greater visibility, faster detection, and increased automation to drive autonomous operational resilience.

Across both SolarWinds Observability Self-Hosted and SaaS, SW1 addresses this new reality enabling IT teams to use natural language to query agents and gain unified insights into system performance, capacity, and health. Built on the SolarWinds Agentic Framework and guided by AI by Design principles, it delivers responsible and secure AI rooted in trust and accountability.

"The organizations succeeding in this new era will be defined by how quickly they can move their IT leadership from managing complexity to driving strategy. SW1 makes that possible, by shifting teams from manual, reactive operations to intelligent, autonomous infrastructure that anticipates problems before users encounter them,” said Cullen Childress, Chief Product Officer, SolarWinds. “This isn't just about operational efficiency. It's about giving your best people the room to architect what comes next, while SW1 handles the operational weight underneath."

SW1 in the Future

SolarWinds also announced upcoming enhancements to SW1 in the coming quarters, extending it beyond insights to include service reliability, governance, and autonomous issue resolution. New capabilities include:

  • Improving operational health: SW1 will predict SLO/SLA risk and enable proactive intervention, including generating runbooks, workflows, and scripts from existing knowledge bases.
  • Streamlining onboarding and time-to-value: It will automatically discover unmanaged assets and recommend monitoring coverage, while creating initial dashboards, alerts, and service views.
  • Reducing alert noise: SW1 will filter duplicate and low-value alerts, correlate related signals, and surface the most critical, actionable issues.
  • Strengthening security and compliance: Built on SolarWinds AI by Design principles, SW1 will extend governance with customer-defined guardrails to help ensure compliant, policy-aligned actions.

From Operator to Orchestrator

SW1 was purpose-built for what’s happening in today’s IT landscape. Moreover, decades of SolarWinds experience and partnerships with industry stakeholders informed just what today’s IT teams would need to navigate the fundamental shift currently taking place. According to the 2026 IT Trends Report: The Human Side of Autonomous IT, 80% of surveyed IT professionals say their role is shifting from operator to orchestrator — taking on new responsibilities like interpreting AI-driven insights (59%), designing intelligent workflows (56%), and validating AI outputs (47%). SW1 is built for exactly that reality — making it easier to gather and act on AI-generated insights, establish trust in AI outputs, and serve as the central command as IT pros build the agentic workflows that increasingly power critical business functions.

Paving the Path to Operational Resilience

When SolarWinds first announced its vision for autonomous operational resilience, the goal was to empower organizations to more seamlessly unify their systems, proactively address issues, and automate workflows across their IT environments. SW1 represents the next step in that vision, and with additional capabilities rolling out throughout 2026, it is designed to grow alongside the teams and organizations it serves.

SW1 is currently available in SolarWinds Observability SaaS and Self-Hosted IT environments. 

Additional SW1 capabilities will be available throughout 2026.

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.