
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.
The Latest
80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...
40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...
Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...
Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...
Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...
Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...
Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...
Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...
Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...
If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...
