We are working hard to improve the user experience across the database section of the SolarWinds blog. The goal is simple. We want to deliver practical, relevant insights for people working in database monitoring, observability, performance, and day-to-day data estate management.
The fact is, we care deeply about databases, DBAs, and the wider data ecosystem. As a result, we want the blog to reflect that through a balanced mix of content. Over the past month, we have published a strong set of articles that show this direction clearly. Together, they highlight both the range of topics we cover and the value we plan to deliver consistently.
All Database Blogs
SAP HANA Monitoring 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.
SAP HANA Monitoring With SolarWinds Database Performance Analyzer - SolarWinds Blog
Level Up Your DBA Skills: Database Management Videos
In this post, we walk through some of our database webinars. We look at what each session covers, including performance, configuration, automation, cost optimization, and the evolving roles of people that work with databases, which is no longer confined to DBAs. Episodes are in viewing paths so you can quickly find the content you’re most interested in.
Level Up Your DBA Skills: Database Management Videos - SolarWinds Blog
SolarWinds Database Portfolio Product Update – May 2026
In this post, Eoin Keenan breaks down the SolarWinds Database Portfolio May 2026 Product Update and explains what the latest product release means for database teams.
SolarWinds Database Portfolio Product Update - May 2026 - SolarWinds Blog
The High-Performance DBA Series
A major part of this recent work is the ongoing High-Performance DBA series from Kevin Kline, SolarWinds Head Geek and longtime database expert.
These posts focus on the real pressures of modern database work. For example, they cover burnout, reactive firefighting, observability gaps, storage strategy, and SQL Server memory management. Just as importantly, the series connects closely to the High-Performance DBA webcast program.
Featured Posts In The Series
- Boosting Database Observability With SolarWinds Plan Explorer
This post explains how SQL Server execution plans help expose the real cause of slow queries. It also shows how Plan Explorer helps DBAs diagnose issues faster and tune performance with more confidence. - Inside the Black Box: Bridging the Database Observability Gap
Here, the focus shifts to the database observability gap. Rather than treating the database layer as a black box, the article shows why better visibility, closer DBA and developer collaboration, and modern Database DevOps practices matter. - The High-Performance DBA: Breaking the Burnout Cycle in Modern Database Teams
This article examines reactive work, alert fatigue, and constant firefighting. In addition, it explains why those patterns lead to burnout and make proactive improvement harder. - Database Storage Optimization for the High-Performance DBA
Storage remains one of the most practical challenges for SQL Server teams. This piece covers I/O bottlenecks, TempDB contention, transaction log growth, and the operational value of more deliberate storage practices. - The High-Performance DBA: Total Recall, Part 1: SQL Server Memory Basics and Best Practices
In Part 1, Kevin explains how SQL Server uses memory, why memory becomes a bottleneck, and which configuration habits help create a more stable, high-performance environment. - The High-Performance DBA: Total Recall, Part 2: SQL Server Memory, Plan Cache, and Query Patterns
In Part 2, he focuses on plan cache bloat, inefficient query patterns, practical troubleshooting, and how observability tools can shorten the path from symptom to root cause.
Deep Dive Technical Content
Alongside the DBA series, we are also publishing more technical articles that explore specific product capabilities in greater detail.
Recently, that work has focused on two practical challenges. First, teams need better ways to discover unmonitored database instances. Second, they need faster ways to tune slow queries and reduce guesswork.
Recent Deep Dive Articles
