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.

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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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This is the second of two connected posts on SQL Server CPU.

In this post, Kevin Kline focuses on the moving parts that turn into real incidents: SQL Server wait statistics, thread scheduling pressure, troubleshooting workflow, and how observability tools shorten the path from symptom to root cause. In Part 1, we looked at how SQL Server uses CPU, why high CPU usage in SQL Server is often misunderstood, and which configuration habits help create a more stable, high-performance environment.

Read The High-Performance DBA Series

This is the first of two connected posts on database performance tuning. In this post, Kevin Kline explains how SQL Server uses CPU, why high SQL Server CPU usage is often misunderstood, and which configuration habits help build a more stable, high-performance environment.

In the second post, we look at SQL Server wait statistics, scheduler pressure, troubleshooting workflow, and how to arrive at root cause faster.

Read The High-Performance DBA Series

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.