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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...