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In the first part of this series, we established that successful AI adoption in database performance hinges on strong foundations. The most effective teams use a common framework for their database operations: monitor for a single, unified view; diagnose by cleaning signals with baselines and anomaly detection; optimize proactively to build durable resilience; and ensure these practices work everywhere across hybrid and multi-vendor environments.

Every profession has its jargon that can seem confusing at first, including technology. Often, the meaning of the words we use every day can be misinterpreted or misunderstood due to any number of reasons. Sometimes marketing conflates terms, or an incorrect understanding can be inferred from poor context. And, often, it’s just assumed knowledge.

In today’s fast-evolving digital landscape, organizations depend on complex distributed systems to support critical business transactions, services, and applications. Ensuring these systems operate flawlessly is essential, as errors can affect multiple components, impacting revenue, customer satisfaction, and brand reputation. Consequently, effective error monitoring, detection, and root cause analysis (RCA) have become vital business imperatives.

Real user monitoring (RUM) is a core proactive technique for understanding how real users are moving through your site. The primary tool for this has been to monitor via public probes, which are agents hosted in major cloud regions and global cities (Los Angeles and Frankfurt, for example).

The emergence of a transformative technology never fails to spark a frenzy of excitement, and agentic AI is no exception. However, as vendors rush to position themselves as “agentic-ready” and customers seek a solution to deeply rooted challenges, a fog of hype can make it difficult to discern what’s truly valuable.

At our recent SolarWinds Day event, we launched the SolarWinds^® AI Agent—a new agentic AI experience that will appear first in SolarWinds Observability and then across our entire portfolio. Built according to our AI by Design framework, the release marks a shift in how the IT professionals we serve will work hand-in-hand with their tools to keep operations on track.

Tech Evangelist Chrystal Taylor has seen a few things in her career, so we’ve asked her to kick off this new series that tackles the issues that matter: What are the IT buzzwords that bug her the most, and how can we get past them to the really good stuff?

In today’s complex application ecosystems, understanding the impact of database performance on user experience is critical. Traditional monitoring tools often isolate application and database visibility, complicating root cause analysis. SolarWinds^® Observability SaaS integrates Application Performance Monitoring (APM) with Database Observability (DBO), providing comprehensive, end-to-end performance insights that enable teams to troubleshoot quickly and optimize effectively.

Partners play an essential role in bridging the gap between innovation and implementation, helping IT teams adopt new capabilities with confidence. Today, as organizations modernize their infrastructures, expand hybrid environments, and begin experimenting with new forms of AI, partner expertise is more crucial than ever.