Skip to main content

SolarWinds Updates IT Operations Management Portfolio

SolarWinds announced the availability of machine learning-enabled database anomaly detection and an automated management API in the latest version of Database Performance Analyzer (DPA).

The company also introduced a broad refresh of its IT operations management portfolio, collectively designed to improve support for monitoring critical IT services and extend support for monitoring private cloud and converged infrastructures.

“A slow-running database can significantly affect the end-to-end performance of applications and the experience of end users,” said Joe Kim, EVP and Global CTO, SolarWinds. “With new anomaly detection capabilities, SolarWinds Database Performance Analyzer 12.1 empowers database professionals to more accurately identify and respond to performance incidents. We take pride in providing tools designed to allow customers to keep their businesses running smoothly while shifting to a more proactive management approach.”

When managing large environments, manually-intensive approaches consume time, can be slow to yield actionable insights, and require historical knowledge of baseline performance. With DPA 12.1, customers can save time by not only automating anomaly detection to more quickly find, visualize, and alert when database wait times deviate from the expected, but by also leveraging machine learning capabilities to monitor behavior patterns and gain meaningful insight into what is expected versus an anomaly.

Database professionals can also benefit from the addition of the DPA management API, which allows customers to automate instance management (such as registration, licensing, annotations, and more) as well as programmatically scale to meet the needs of large or dynamic environments. With less time spent on redundant tasks, DBAs can focus on bigger picture improvements and proactive innovation.

SolarWinds DPA is designed to provide seamless integration with the SolarWinds Orion® Platform, and its many modules, including Network Performance Monitor (NPM) and Server & Application Monitor (SAM). Integration with features like the SolarWinds PerfStack™ dashboard can provide additional blocking analysis support, designed to help users discover where an incident occurred, the overall impact of the action, and guide informed future troubleshooting strategies.

“As organizations continue their transition from purely on-premises operations into both private and public cloud infrastructures, along with increased consumption of SaaS-delivered applications like Office 365, adapting their IT monitoring and management capabilities can pose a significant challenge,” Kim continued. “We’ve substantially expanded our IT operations management product portfolio to deliver improved support for monitoring Active Directory and extended our infrastructure monitoring capabilities with additional support for VMware environments, and adding support for Cisco UCS converged infrastructure. All of these improvements are designed to help today’s technology professionals easily extend their monitoring across their ever-expanding IT environment, an integrated experience that delivers monitoring through a single pane of glass.”

Within its IT operations management portfolio, SolarWinds announced updates to the following software products:

- Server & Application Monitor (SAM) 6.8: Introduced in this release is AppInsight for Active Directory, delivering deeper insight into the status and performance of Active Directory across environments, while also providing deeper monitoring for customers who have deployed Cisco’s industry-leading UCS converged infrastructure portfolio.

- Virtualization Manager (VMAN) 8.4: The updated tool offers greater time-to-resolution capabilities to VMware environments by allowing customers to import VMware events to monitor and correlate those performance issues and expedite troubleshooting.

- Storage Resource Monitor (SRM) 6.8: With extended support for Kaminario solid-state storage arrays, the updated version of SRM enables resource monitoring and capacity planning across a wider mix of storage infrastructures in multi-vendor environments to meet the needs of a broader set of customers.

- Server Configuration Monitor (SCM) 1.1: A valuable configuration tool that provides visibility into configuration changes on Windows servers and applications, along with the ability to detect which user made each change. This latest version adds near real-time change analysis to help technology professionals surface the root cause of performance issues caused by changes.

- Log Analyzer (LA) 2.0: Formerly known as Log Manager for Orion, the updated version brings native Windows support, simplifying the ability to collect Windows systems events alongside logs from other infrastructure, and providing more comprehensive detail about what occurred on a system prior to an incident or performance problem.

The updated SolarWinds IT operations management portfolio, including DPA 12.1, is available now.

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 ...

SolarWinds Updates IT Operations Management Portfolio

SolarWinds announced the availability of machine learning-enabled database anomaly detection and an automated management API in the latest version of Database Performance Analyzer (DPA).

The company also introduced a broad refresh of its IT operations management portfolio, collectively designed to improve support for monitoring critical IT services and extend support for monitoring private cloud and converged infrastructures.

“A slow-running database can significantly affect the end-to-end performance of applications and the experience of end users,” said Joe Kim, EVP and Global CTO, SolarWinds. “With new anomaly detection capabilities, SolarWinds Database Performance Analyzer 12.1 empowers database professionals to more accurately identify and respond to performance incidents. We take pride in providing tools designed to allow customers to keep their businesses running smoothly while shifting to a more proactive management approach.”

When managing large environments, manually-intensive approaches consume time, can be slow to yield actionable insights, and require historical knowledge of baseline performance. With DPA 12.1, customers can save time by not only automating anomaly detection to more quickly find, visualize, and alert when database wait times deviate from the expected, but by also leveraging machine learning capabilities to monitor behavior patterns and gain meaningful insight into what is expected versus an anomaly.

Database professionals can also benefit from the addition of the DPA management API, which allows customers to automate instance management (such as registration, licensing, annotations, and more) as well as programmatically scale to meet the needs of large or dynamic environments. With less time spent on redundant tasks, DBAs can focus on bigger picture improvements and proactive innovation.

SolarWinds DPA is designed to provide seamless integration with the SolarWinds Orion® Platform, and its many modules, including Network Performance Monitor (NPM) and Server & Application Monitor (SAM). Integration with features like the SolarWinds PerfStack™ dashboard can provide additional blocking analysis support, designed to help users discover where an incident occurred, the overall impact of the action, and guide informed future troubleshooting strategies.

“As organizations continue their transition from purely on-premises operations into both private and public cloud infrastructures, along with increased consumption of SaaS-delivered applications like Office 365, adapting their IT monitoring and management capabilities can pose a significant challenge,” Kim continued. “We’ve substantially expanded our IT operations management product portfolio to deliver improved support for monitoring Active Directory and extended our infrastructure monitoring capabilities with additional support for VMware environments, and adding support for Cisco UCS converged infrastructure. All of these improvements are designed to help today’s technology professionals easily extend their monitoring across their ever-expanding IT environment, an integrated experience that delivers monitoring through a single pane of glass.”

Within its IT operations management portfolio, SolarWinds announced updates to the following software products:

- Server & Application Monitor (SAM) 6.8: Introduced in this release is AppInsight for Active Directory, delivering deeper insight into the status and performance of Active Directory across environments, while also providing deeper monitoring for customers who have deployed Cisco’s industry-leading UCS converged infrastructure portfolio.

- Virtualization Manager (VMAN) 8.4: The updated tool offers greater time-to-resolution capabilities to VMware environments by allowing customers to import VMware events to monitor and correlate those performance issues and expedite troubleshooting.

- Storage Resource Monitor (SRM) 6.8: With extended support for Kaminario solid-state storage arrays, the updated version of SRM enables resource monitoring and capacity planning across a wider mix of storage infrastructures in multi-vendor environments to meet the needs of a broader set of customers.

- Server Configuration Monitor (SCM) 1.1: A valuable configuration tool that provides visibility into configuration changes on Windows servers and applications, along with the ability to detect which user made each change. This latest version adds near real-time change analysis to help technology professionals surface the root cause of performance issues caused by changes.

- Log Analyzer (LA) 2.0: Formerly known as Log Manager for Orion, the updated version brings native Windows support, simplifying the ability to collect Windows systems events alongside logs from other infrastructure, and providing more comprehensive detail about what occurred on a system prior to an incident or performance problem.

The updated SolarWinds IT operations management portfolio, including DPA 12.1, is available now.

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 ...