In this article, Kevin Kline introduces The High-Performance DBA webcast series, drawing on insights from our recent State of Database Report to explain why DBA burnout is rising and how teams can move beyond constant reactivity.
Read The High-Performance DBA Series
Over the past 15 years, Agile and DevOps have accelerated application delivery, enabling faster, more reliable releases. Yet the database layer often remains a blind spot for observability and performance monitoring.
In this article, Kevin Kline shows why closing the database observability gap is critical to improving performance, efficiency, and resilience for DBAs, developers, and the businesses that depend on their data.
Learn how SAP HANA architecture works, from the index server and column store to delta storage, persistence, scalability, and real-world tradeoffs.
“We’re at an inflection point in IT service management. AI adoption is no longer the hard part – the hard part is building the organizational discipline to make AI deliver. The teams that get this right aren’t just running a faster service desk; they’re running a fundamentally different operation. At SolarWinds, our job is to make that transition as straightforward as possible – giving customers the platform, the data foundation and the governance they need to move from AI activity to real AI payoff.”
-Brad McGinity, GM of ITSM, SolarWinds
“AI is not a set-it-and-forget-it capability. It needs ownership, current knowledge, reliable data, and human judgment in the places where it matters most. Service desks that plan for that work are in a better position to get lasting value from AI.”
—Jasmine Park, Staff PMM, ITSM, SolarWinds
In this blog, Owen Murphy explores how to investigate application slowdowns by connecting distributed traces to database queries. When an application slows down, the first alert is only the beginning of the investigation. The real challenge is determining whether the delay comes from the application, infrastructure, network, or database—and finding the evidence to prove it.
Distributed tracing can show where a request spends its time, while database observability reveals what is happening inside the query itself. Together, they help teams connect application latency to database behavior and move from a vague performance symptom to a focused root-cause investigation.
Register for our live SolarWinds webinars on database alerts, SAP HANA troubleshooting, portfolio updates, and app-to-database tracing.
