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SolarWinds New Capabilites for IT Operational Resiliency

SolarWinds announced new enhancements across the SolarWinds portfolio offering expanded capabilities across observability, incident response, service management, and AI-powered automation—empowering IT teams to navigate complex hybrid environments, accelerate issue resolution, and ensure business continuity in an increasingly complex hybrid IT landscape.

“One of the biggest concerns we hear from customers is how to stay resilient amid rapid technological advancements and economic pressures,” said Cullen Childress, Chief Product Officer at SolarWinds. “Every new wave of change—from digital transformation to generative AI—feels like a storm threatening their business. They need solutions that not only help them adapt but also strengthen their ability to thrive in the face of disruption.”

The SolarWinds integrated portfolio of observability, incident response, and service management, powered by SolarWinds® AI, correlates alerts, improves decision-making, and accelerates issue resolution. This unified approach enhances performance, availability, and control across complex hybrid IT ecosystems to deliver unmatched operational resilience.

Key Enhancements Across the SolarWinds Portfolio:

  • Squadcast Incident Response:  New to the SolarWinds portfolio, Squadcast Incident Response unites people, processes, and technology, providing a proactive, structured approach to incident response and resolution. Squadcast brings AI-powered alert isolation, on-call management, multi-source alert correlation, standardized runbooks, status pages, and Microsoft Teams® and Slack® integration for incident swarming, leading to faster issue identification so organizations can minimize downtime, reduce remediation time, and maintain operational resilience.
  • SolarWinds Observability

-Now supports expanded hybrid IT awareness with deeper and broader single-pane-of-glass visibility across major cloud vendors, including GCP, AWS®, Azure®, and on-premises environments. These expanded capabilities help ensure a unified and detailed view of your entire hybrid IT environment, enabling proactive management and optimization.
-The AI-powered Log Insights feature surfaces critical insights from large volumes of log data, identifying patterns, anomalies, and trends that might indicate potential issues. This aids in proactive problem resolution and improves operational resilience by detecting issues before they become major incidents.
-Root Cause Assist leverages SolarWinds AI to help identify the underlying causes of problems or issues by analyzing data and providing rich, contextual insights. This function automates and accelerates the analysis of application performance issues.

  • SolarWinds Database Observability: Entering Tech Preview, SolarWinds AI Query Assist improves database queries by automatically analyzing query patterns and suggesting optimal query rewrites. This provides more accurate and efficient query optimization, helping DBAs improve efficiency and lower production costs caused by excessively long-running queries.
  • SolarWinds Service Desk: SolarWinds AI Runbook generation automates the manual and time-consuming task of compiling and formatting pre-written operational guides into new runbooks with standardized resolution processes that enhance operational efficiency and improve incident response times.  Data masking improves an organization’s compliance with governance and industry regulations of PII, PCI, and sensitive data by masking sensitive information and preventing inadvertent sharing.

“Learning and adapting, core pillars of operational resilience, have been at the heart of success for SolarWinds over the past 25 years,” said Sudhakar Ramakrishna, CEO of SolarWinds. “Our mission is to share that knowledge with our customers, equipping them with solutions that help them navigate the IT operational resiliency challenges of today and tomorrow’s dynamic IT landscape.”

The new enhancements to the SolarWinds portfolio are available now, with deployment options tailored to meet the needs of organizations of all sizes.

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SolarWinds New Capabilites for IT Operational Resiliency

SolarWinds announced new enhancements across the SolarWinds portfolio offering expanded capabilities across observability, incident response, service management, and AI-powered automation—empowering IT teams to navigate complex hybrid environments, accelerate issue resolution, and ensure business continuity in an increasingly complex hybrid IT landscape.

“One of the biggest concerns we hear from customers is how to stay resilient amid rapid technological advancements and economic pressures,” said Cullen Childress, Chief Product Officer at SolarWinds. “Every new wave of change—from digital transformation to generative AI—feels like a storm threatening their business. They need solutions that not only help them adapt but also strengthen their ability to thrive in the face of disruption.”

The SolarWinds integrated portfolio of observability, incident response, and service management, powered by SolarWinds® AI, correlates alerts, improves decision-making, and accelerates issue resolution. This unified approach enhances performance, availability, and control across complex hybrid IT ecosystems to deliver unmatched operational resilience.

Key Enhancements Across the SolarWinds Portfolio:

  • Squadcast Incident Response:  New to the SolarWinds portfolio, Squadcast Incident Response unites people, processes, and technology, providing a proactive, structured approach to incident response and resolution. Squadcast brings AI-powered alert isolation, on-call management, multi-source alert correlation, standardized runbooks, status pages, and Microsoft Teams® and Slack® integration for incident swarming, leading to faster issue identification so organizations can minimize downtime, reduce remediation time, and maintain operational resilience.
  • SolarWinds Observability

-Now supports expanded hybrid IT awareness with deeper and broader single-pane-of-glass visibility across major cloud vendors, including GCP, AWS®, Azure®, and on-premises environments. These expanded capabilities help ensure a unified and detailed view of your entire hybrid IT environment, enabling proactive management and optimization.
-The AI-powered Log Insights feature surfaces critical insights from large volumes of log data, identifying patterns, anomalies, and trends that might indicate potential issues. This aids in proactive problem resolution and improves operational resilience by detecting issues before they become major incidents.
-Root Cause Assist leverages SolarWinds AI to help identify the underlying causes of problems or issues by analyzing data and providing rich, contextual insights. This function automates and accelerates the analysis of application performance issues.

  • SolarWinds Database Observability: Entering Tech Preview, SolarWinds AI Query Assist improves database queries by automatically analyzing query patterns and suggesting optimal query rewrites. This provides more accurate and efficient query optimization, helping DBAs improve efficiency and lower production costs caused by excessively long-running queries.
  • SolarWinds Service Desk: SolarWinds AI Runbook generation automates the manual and time-consuming task of compiling and formatting pre-written operational guides into new runbooks with standardized resolution processes that enhance operational efficiency and improve incident response times.  Data masking improves an organization’s compliance with governance and industry regulations of PII, PCI, and sensitive data by masking sensitive information and preventing inadvertent sharing.

“Learning and adapting, core pillars of operational resilience, have been at the heart of success for SolarWinds over the past 25 years,” said Sudhakar Ramakrishna, CEO of SolarWinds. “Our mission is to share that knowledge with our customers, equipping them with solutions that help them navigate the IT operational resiliency challenges of today and tomorrow’s dynamic IT landscape.”

The new enhancements to the SolarWinds portfolio are available now, with deployment options tailored to meet the needs of organizations of all sizes.

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...