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SolarWinds Observability Available in Self-Hosted and SaaS Options

SolarWinds announced the launch of the next generation of SolarWinds® Observability, now available in self-hosted or SaaS options.

The company has expanded its network, infrastructure, and cloud observability capabilities. These enhancements include broader on-premises infrastructure monitoring, expanded cloud infrastructure observability, and enhanced artificial intelligence and machine learning (AI/ML) capabilities.

“This next generation of SolarWinds Observability closes the hybrid visibility gaps we’ve heard voiced by IT practitioners and leaders around the world,” said Cullen Childress, SVP of Product at SolarWinds. “They’ve told us they’re struggling to find a solution that provides the level of visibility they need over both their on-premises and cloud-native ecosystems. SolarWinds is ending their struggle today.”

SolarWinds Observability gives customers the choice of what to monitor and observe and how to do it in a way that best fits their needs. SolarWinds offers what every observability vendor should: a solution that provides expansive visibility and AI-driven insights, helping customers manage modern IT environments efficiently, enhance performance, ensure flexible deployment, and optimize IT costs and resources.

“We believe customers should decide how they monitor and manage their hybrid IT infrastructures — not vendors dictating their choices,” said Krishna Sai, SVP of Technology and Engineering at SolarWinds. “SolarWinds meets customers where they are in their hybrid IT journey so they can explore and adopt our offerings and modernize and move to the cloud confidently and at their own pace.”

New and expanded capabilities for SolarWinds Observability SaaS and Self-Hosted include:

- Broader on-premises infrastructure monitoring: Monitor critical server components, such as bandwidth, availability, and response time, which can negatively affect server performance. SolarWinds Observability can now also identify when server resources reach warning and critical thresholds through relevant metrics.

Expanded cloud infrastructure observability: Significant expansion of AWS, Azure, and Kubernetes observability capabilities, which enables out-of-the-box cloud services and containerized infrastructure monitoring.

- More comprehensive network performance, traffic flow, and path analysis: Scan, discover, and map devices and applications to gain performance metrics, including latency, jitter, and throughput, that help to detect and remediate issues early.

- Coverage for more devices and significantly increased scale: Support for more SD-WAN solutions, including Fortinet, Meraki, Viptela, VeloCloud, Prisma, and Aruba Silver Peak, as well as next-generation wireless infrastructure. Expanded device support for the Vulnerability and Risk Dashboard. Increased poller capacity can reduce the infrastructure costs of your pollers by up to a third—meaning a lower total cost of ownership without sacrificing anything.

- Built-in intelligence and AI/ML capabilities: Enhancements to smart, anomaly-based alerts and AlertStack™ reduce alert fatigue and accelerate incident management. Customers who opt into IT Service Management (ITSM) can leverage AI-assisted ITSM capabilities, enabling more proactive troubleshooting, problem identification, and remediation, meaning even faster mean time to detect (MTTD) and resolve (MTTR). Based on internal analysis, 60% of SolarWinds ITSM customers who enabled our GenAI features achieved a 30% year-over-year improvement in MTTR.

- Enhanced SolarWinds Platform Connect: Eliminates the need for a disruptive rip-and-replace migration, offering greater flexibility and control over their observability journey. Customers can start with SolarWinds Observability Self-Hosted and then try and adopt the SaaS solution with just a few simple clicks. SolarWinds future-proofs your investments today.

SolarWinds also announced a new combined license for its two Database Observability self-hosted products, Database Performance Analyzer and SQL Sentry®. Whether customers need the broad coverage of DPA for a variety of database types like MySQL®, Oracle®, PostgreSQL®, or the deep SQL Server® analysis and exploration of SQL Sentry, they’ll be able to buy one license and use it for either product, providing the freedom and flexibility to choose the right solution for the environment.

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SolarWinds Observability Available in Self-Hosted and SaaS Options

SolarWinds announced the launch of the next generation of SolarWinds® Observability, now available in self-hosted or SaaS options.

The company has expanded its network, infrastructure, and cloud observability capabilities. These enhancements include broader on-premises infrastructure monitoring, expanded cloud infrastructure observability, and enhanced artificial intelligence and machine learning (AI/ML) capabilities.

“This next generation of SolarWinds Observability closes the hybrid visibility gaps we’ve heard voiced by IT practitioners and leaders around the world,” said Cullen Childress, SVP of Product at SolarWinds. “They’ve told us they’re struggling to find a solution that provides the level of visibility they need over both their on-premises and cloud-native ecosystems. SolarWinds is ending their struggle today.”

SolarWinds Observability gives customers the choice of what to monitor and observe and how to do it in a way that best fits their needs. SolarWinds offers what every observability vendor should: a solution that provides expansive visibility and AI-driven insights, helping customers manage modern IT environments efficiently, enhance performance, ensure flexible deployment, and optimize IT costs and resources.

“We believe customers should decide how they monitor and manage their hybrid IT infrastructures — not vendors dictating their choices,” said Krishna Sai, SVP of Technology and Engineering at SolarWinds. “SolarWinds meets customers where they are in their hybrid IT journey so they can explore and adopt our offerings and modernize and move to the cloud confidently and at their own pace.”

New and expanded capabilities for SolarWinds Observability SaaS and Self-Hosted include:

- Broader on-premises infrastructure monitoring: Monitor critical server components, such as bandwidth, availability, and response time, which can negatively affect server performance. SolarWinds Observability can now also identify when server resources reach warning and critical thresholds through relevant metrics.

Expanded cloud infrastructure observability: Significant expansion of AWS, Azure, and Kubernetes observability capabilities, which enables out-of-the-box cloud services and containerized infrastructure monitoring.

- More comprehensive network performance, traffic flow, and path analysis: Scan, discover, and map devices and applications to gain performance metrics, including latency, jitter, and throughput, that help to detect and remediate issues early.

- Coverage for more devices and significantly increased scale: Support for more SD-WAN solutions, including Fortinet, Meraki, Viptela, VeloCloud, Prisma, and Aruba Silver Peak, as well as next-generation wireless infrastructure. Expanded device support for the Vulnerability and Risk Dashboard. Increased poller capacity can reduce the infrastructure costs of your pollers by up to a third—meaning a lower total cost of ownership without sacrificing anything.

- Built-in intelligence and AI/ML capabilities: Enhancements to smart, anomaly-based alerts and AlertStack™ reduce alert fatigue and accelerate incident management. Customers who opt into IT Service Management (ITSM) can leverage AI-assisted ITSM capabilities, enabling more proactive troubleshooting, problem identification, and remediation, meaning even faster mean time to detect (MTTD) and resolve (MTTR). Based on internal analysis, 60% of SolarWinds ITSM customers who enabled our GenAI features achieved a 30% year-over-year improvement in MTTR.

- Enhanced SolarWinds Platform Connect: Eliminates the need for a disruptive rip-and-replace migration, offering greater flexibility and control over their observability journey. Customers can start with SolarWinds Observability Self-Hosted and then try and adopt the SaaS solution with just a few simple clicks. SolarWinds future-proofs your investments today.

SolarWinds also announced a new combined license for its two Database Observability self-hosted products, Database Performance Analyzer and SQL Sentry®. Whether customers need the broad coverage of DPA for a variety of database types like MySQL®, Oracle®, PostgreSQL®, or the deep SQL Server® analysis and exploration of SQL Sentry, they’ll be able to buy one license and use it for either product, providing the freedom and flexibility to choose the right solution for the environment.

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Pilots are everywhere, stakeholders are seeking results, businesses are pushing for new tools, and IT teams are being asked to make AI secure, reliable, and useful at scale. But as organizations move from testing AI to operationalizing it, many are discovering that the biggest barrier is not the model, the use case, or even the budget. It is the file data foundation within ...

Fast or cheap? For most of my career in engineering, speed and quality sat on opposite ends of a seesaw. The "OR" in "fast or cheap" was non-negotiable. It was expected that pushing for faster releases meant that something in quality would give way. Tightening quality controls meant the schedule slipped. Every engineering leader I know has lived some version of that tradeoff ... The seesaw is starting to level out ...

I have been building enterprise software for more than 20 years ... One thing stays true across all of it: You do not find out your foundation is wrong during the crisis. You find out when the debt comes due. For a lot of organizations, that bill is arriving now. New research ... puts hard numbers on something practitioners have been sensing for a while. The telemetry problem isn't coming. It's already here ...

The rapid growth of AI workloads is pushing traditional log management approaches to their limits, according to The State of Log Management 2026 report from Dynatrace. Modern logs have become critical to understanding, validating, and securing AI-driven decisions, helping organizations ensure reliability, compliance, and performance at scale. However, the volume and complexity of AI telemetry are overwhelming legacy tools ...

For years, secure connectivity has relied on a familiar pattern: route traffic back to centralized gateways, inspect it, and then allow access. This model worked when applications lived in a handful of data centers and users were largely confined to offices. That model is now under strain. Applications are distributed across clouds, users connect from everywhere, and real-time workloads demand performance that centralized inspection points struggle to deliver. As traffic volumes grow and latency expectations shrink, routing everything through a small number of control points has become both a performance bottleneck and a resilience risk. The future of secure connectivity requires a different approach ...

The AI experimentation phase is over, and the private cloud is where enterprise AI workloads are being deployed for security and scale, according to Private Cloud Outlook 2026, a new report from Broadcom ... 2026 marks an acceleration into a full AI tipping point. The shift is being shaped by three forces — costs, complexity, and control — that public cloud environments are increasingly failing to address for production AI at scale. Key findings from the report include ...

44% of organizations have reported an outage in the past year tied to suppressed or ignored alerts, and 78% had at least one incident where no alert was fired at all ... Engineers learned about failures from customers. That gap between what our tools report and what our customers experience is the problem DevOps teams have been quietly solving with GenAI tooling, even as most enterprises continue to run their NOCs on manual alert triage ...

Cloud outages are usually described as technical failures. When a service goes down, a dependency breaks, or a region has issues, the focus immediately shifts to infrastructure. But if you look closely at how these incidents actually unfold, the root cause is rarely the technology itself. It is almost always tied to decisions made earlier, during design, implementation, or day-to-day operations. The system behaves the way it was built. The real question is how it was built ...

77% of leaders say their teams need AI skills urgently. 64% say their organization plans to train current employees rather than hire new ones. So far, so reasonable. The part that surprised me is who's been put in charge: 34% of those leaders say IT and engineering own the AI skills mandate. Learning and Development or HR own it at 7% of organizations. That's roughly five-to-one in favor of the people who understand the tools, over the people whose actual job is teaching adults how to learn new ones ...

In the ever-evolving digital landscape, enterprises are increasingly focused on enhancing their observability stacks to gain deeper insights into their IT environments. Observability has become a cornerstone of modern IT operations, enabling organizations to monitor, diagnose, and optimize their systems with unprecedented precision. However, a critical piece of the puzzle often goes unnoticed in this transformation: IBM i ...