AI is moving quickly, and DBAs need practical context on what’s happening under the hood. This post is an overview of the LLM internals for DBAs covered in the session. In the article, database expert Kevin Kline looks at how large language models work at a practical level.
AI For DBAs: Internals and Architecture of LLMs
How To Create Database Alerts You Can Trust
Database Alerting Best Practices That Cut Alert Fatigue and Help DBAs Respond to What Matters
Most database teams don’t have an alerting problem. They have a trust problem. This post is an overview of the database alerting best practices covered in the session. In the article, database expert Kevin Kline looks at what makes a good alert and how to turn noise into signal. He also covers throttling, digests, escalation paths, and baselines, plus how SolarWinds tools support them. It doesn’t cover everything, so watch the on-demand webinar for the full walkthrough and demos.
Watch The Webinar On-Demand
Q4 SolarWinds Database Webinars: From Hidden Problems to Clearer Answers.
Healthy dashboards don’t always tell the whole story. Our Q4 webinars help you uncover hidden database problems, understand what’s causing them, and decide what to do next.
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More Databases, Same Headcount? How AI-Driven RCA Helps DBAs Scale Database Coverage
Database estates keep growing, but DBA headcount rarely keeps pace. Our State of the Database Report shows DBAs now spend most of their week on reactive firefighting across three to five platforms per organization. Burnout is pushing experienced DBAs out of the role.
In this post, Kevin Kline breaks down the habits that let a single DBA scale coverage without adding headcount. These include treating database code as code, shifting SQL quality checks left, and layering in AI-driven anomaly detection.
A fun, detailed walkthrough in SolarWinds Database Performance Analyzer shows exactly how evidence-based root cause analysis turns a vague business complaint into a resolved problem in minutes.
SAP HANA Architecture Explained: Components, Benefits, and Tradeoffs
SAP HANA performance comes from deliberate architectural choices. It keeps active data in memory, relies heavily on columnar storage, and supports transactional and analytical workloads on the same platform.
Understanding those choices helps explain why SAP HANA can be fast, why sizing and query design matter, and why architecture-aware monitoring is important in production.
Webinars, Webinars, Everywhere! Register Now For Our Special Webinars On Alerts, SAP HANA, And More…
Register for our live SolarWinds webinars on database alerts, SAP HANA troubleshooting, portfolio updates, and app-to-database tracing.
SAP HANA Under Pressure, Part 2: How to Tune Queries and Resolve Blocking
Learn how to prioritize SAP HANA query tuning, resolve blocking, and validate performance improvements with SolarWinds Database Performance Analyzer.
SAP HANA Under Pressure, Part 1: How to Diagnose Slowdowns with Wait-Based Analysis
SAP HANA slowdowns are easy to misread when teams start with infrastructure symptoms alone. Learn how wait-based analysis can help database teams identify where delay is building, what changed, and which SQL, blocking, plan, or resource context matters most.
Why SAP HANA Performance Is an Application Owner Problem, Not Just a DBA Problem
When SAP HANA performance drops, the impact doesn’t stay in the database team. Application owners are often left managing escalations without enough visibility to explain what’s wrong. Here’s why that gap matters and how shared database insight can help.
Monitor SAP HANA With SolarWinds Database Performance Analyzer
SolarWinds® Database Performance Analyzer now supports SAP HANA. We look at what this means for teams that need faster, more focused database troubleshooting.