The growing complexity of IT infrastructure is driving businesses to seek more focused approaches to monitoring and troubleshooting. Addressing this need, SolarWinds is hosting SolarWinds Day: Introducing Goal-Oriented AI on October 14–15, 2026, a virtual event exploring new developments in IT Operations management.
Under the theme From Chasing Problems to Commanding Outcomes, the event will introduce the Goal-Oriented AI approach through live demonstrations and insights from product experts.
This development is particularly relevant for IT teams dealing with recurring alerts, disconnected monitoring tools, and time-consuming incident investigations. To support infrastructure visibility and performance analysis, SolarWinds also offers solutions such as Observability Self-Hosted (OSH) and Database Performance Analyzer (DPA).
The Limitations of Reactive Troubleshooting in Modern IT Environments
Application slowdowns are not always caused by a single component. Issues may originate from the network, servers, applications, or databases. When each component is monitored using separate tools, IT teams must collect and compare information from multiple sources before narrowing down the potential cause.
A high volume of notifications can also make it difficult to determine which alerts require immediate attention. This situation is commonly associated with alert noise, while managing too many tools can add to operational complexity.
In environments combining on-premises infrastructure and cloud services, limited cross-system visibility makes root cause investigations more challenging. Businesses therefore need monitoring solutions that do more than detect issues—they also need relevant context to support troubleshooting.
Understanding Goal-Oriented AI and the Shift in IT Operations
SolarWinds Day highlights Goal-Oriented AI as an emerging direction for IT Operations, shifting the focus from addressing individual problems toward an approach centered on operational outcomes.
Traditional rule-based monitoring detects conditions based on configured metrics and thresholds. IT teams then evaluate the alerts and determine the appropriate response.
Goal-Oriented AI, by contrast, focuses on the outcomes organizations want to achieve. This approach opens up opportunities to direct AI capabilities according to operational context and priorities while respecting organizational constraints.
| Aspect | Rule-Based Monitoring | Goal-Oriented AI |
| Focus | Rule-based detection | Operational objectives |
| Analysis basis | Metrics and thresholds | Relevant goals and context |
| Prioritization | IT teams evaluate alerts | Work is guided by desired outcomes |
| Team responsibilities | Investigate issues and determine actions | Define objectives and oversee processes |
This approach does not eliminate the need for traditional monitoring. Monitoring remains an important foundation for understanding infrastructure health, while Goal-Oriented AI introduces a more outcome-focused perspective.
Achieving Unified Infrastructure Visibility with SolarWinds Observability Self-Hosted
To help IT teams understand infrastructure conditions, SolarWinds Observability Self-Hosted (OSH) provides visibility across networks, infrastructure, applications, and databases through consolidated dashboards.
By bringing information from monitored components into a broader view, OSH helps teams investigate application performance degradation and service disruptions with more context.
OSH also supports self-hosted deployment behind the organization’s firewall. This approach allows businesses to maintain control over their deployment and monitoring data in accordance with their configurations and internal policies.
These capabilities are relevant to organizations managing hybrid IT environments that require greater control over their monitoring infrastructure.
Improving Database Bottleneck Investigations with SolarWinds Database Performance Analyzer
Beyond infrastructure visibility, database analysis is an important part of application performance troubleshooting. Slow queries and database wait times can affect application responsiveness and user experience.
SolarWinds Database Performance Analyzer (DPA) helps teams investigate these issues through wait-time analysis. This provides insights into database wait activity to help identify performance bottlenecks and queries that require further investigation.
DPA also provides historical performance charts and reports to support trend analysis. Database administrators (DBAs) and developers can use this information to prioritize investigations and SQL query optimization.
DPA supports monitoring across compatible database platforms, including on-premises and cloud environments. Combining OSH’s broader infrastructure visibility with DPA’s deeper database analysis helps IT teams investigate performance issues with a more comprehensive view.
Exploring the Future of ITOps at SolarWinds Day with Virtus Technology Indonesia
The development of observability and AI is changing how businesses approach IT Operations. Through SolarWinds Day: Introducing Goal-Oriented AI, participants can explore this evolving approach through solution introductions, live demos, and insights from product experts.
As a SolarWinds distributor in Indonesia, Virtus Technology Indonesia (VTI) supports businesses looking to evaluate infrastructure monitoring, observability, and database performance solutions for their IT environments.
The virtual event takes place on October 14–15, 2026, under the theme From Chasing Problems to Commanding Outcomes.
Businesses interested in learning more about Goal-Oriented AI and the future of IT Operations can find event information through the official link below.
Learn More and Register for SolarWinds Day
For infrastructure monitoring and database performance needs, contact the VTI team to discuss SolarWinds solutions suited to your organization’s requirements.
Author: Ary Adianto
Content Writer, CTI Group