SQL Server Insights from Production Environments

Practical observations and approaches from real-world SQL Server environments.

SQL Server in the Real World

SQL Server rarely becomes difficult because of one configuration setting or one badly written query. Problems usually emerge from the interaction between workload, architecture, infrastructure, configuration, and decisions that have accumulated over time.

This is where the articles on CraftedSQL start. They are based on practical experience from production environments and focus on understanding what is actually happening inside SQL Server before changing anything. Topics range from performance troubleshooting and query behavior to high availability, security, migrations, upgrades, and day-to-day database operations.

The goal is not to collect generic best practices. It is to explain how SQL Server behaves in real environments, why seemingly reasonable decisions sometimes create problems later, and how those situations can be analyzed systematically.

What You'll Find Here

Performance & Troubleshooting

Slow queries, blocking, resource pressure, execution behavior, workload-related problems, and the process of finding the actual root cause.

Architecture & Operations

High availability, migrations, upgrades, patching, infrastructure decisions, and the operational details that determine whether systems remain stable and maintainable.

Security & Reliability

Permissions, access patterns, configuration, operational safeguards, and the technical decisions that can turn into larger risks over time.

Latest SQL Server Articles

Industrial warning light on a production system representing high SQL Server CPU as a signal that requires further diagnosis.

High SQL Server CPU Is a Signal, Not a Root Cause

High CPU usage is easy to see, but the percentage alone does not explain the cause. A useful diagnosis connects workload, execution plans, SQL Server signals and infrastructure data before changes are made.
Large digital display at the entrance of Data Saturday Rheinland 2026 showing the event announcement at Hochschule Bonn-Rhein-Sieg.

What I Took Away from Data Saturday Rheinland 2026

Two days of technical sessions, direct conversations with speakers and practical exchange with other data professionals at Data Saturday Rheinland 2026.
A handheld compass aligned with the setting sun over a calm lake, used as a metaphor for SQL Server wait statistics as directional signals that require context before making performance decisions.

SQL Server Wait Statistics Are Not a Diagnosis

SQL Server wait statistics are often one of the first things people check when performance drops, and for good reason. They show where SQL Server is spending time and can provide a useful direction at the start of an investigation. The problem begins when the highest wait type becomes the ...
AWS Summit Japan 2026 keynote session at Makuhari Messe with focus on Agentic AI and cloud platforms

AWS Summit Japan 2026: Agentic AI, Data Platforms, and the Operational Reality Behind the Hype

At AWS Summit Japan 2026, the AI message was hard to miss. But the more interesting signal was not the headline itself. It was how naturally Agentic AI data platforms are now being discussed together with infrastructure, analytics, security, developer experience, and operations. This matters because AI does not run ...
Technician reviewing infrastructure connections in a data center environment, illustrating operational context for SQL Server monitoring.

SQL Server Monitoring Is Not Diagnosis: Why Context Matters

Many companies already have dashboards, alerts and monitoring data. In that sense, the problem in SQL Server operations is often not a complete lack of visibility. CPU usage is measured, storage latency is reported, blocking is detected, long-running queries appear in reports, Query Store records plan changes, and availability-related components ...
Two professionals reviewing dashboard data to support SQL Server monitoring and operational decision-making.

SQL Server Monitoring: Why Alerts Alone Do Not Create Stability

Most companies no longer have a simple visibility problem. Visibility is only the first step At least not in the way they might have had ten or fifteen years ago, when teams often ran critical systems with very little historical data, few useful alerts and limited insight into what had ...
Technical workspace with monitor and keyboard, representing SQL Server bottleneck triage and the analysis of performance signals in a production environment.

SQL Server Bottleneck Triage: How to Separate Signals from Causes

In many SQL Server performance investigations, the first visible bottleneck becomes the main suspect almost immediately. CPU is high, storage latency appears in the monitoring tool, blocking shows up in a session overview, or users report that one part of the application suddenly feels slow. Under production pressure, that first ...
Professional office workspace with analyst at desk, monitor, laptop and printed chart, representing structured SQL Server bottleneck triage and careful technical investigation.

SQL Server Bottleneck Triage: How to Separate Signals from Causes

I have seen many SQL Server bottlenecks investigated through the metric that looked loudest, not through the question that mattered most. CPU is high, storage latency looks suspicious, blocking appears in monitoring, or users report that the application feels slow. At that moment, it is tempting to follow the most ...
Technical workspace with laptop and notes representing responsible AI use in SQL Server consulting

Using AI in SQL Server Work Without Handing Over Responsibility

In many SQL Server environments, the difficult part is not collecting technical information. There are waits, execution plans, error logs, configuration values, SQL Server performance monitoring and tuning tools, backup history, job runtimes, and usually more than one opinion about what the real problem might be. The challenge is to ...
Calm analysis workspace with printed charts, notes, and a laptop, representing structured SQL Server bottleneck triage before drawing conclusions from visible performance signals.

SQL Server Bottleneck Triage: How to Separate Signals from Causes

In SQL Server performance work, the first minutes of an incident often set the direction for everything that follows. CPU is high, storage latency looks uncomfortable, blocking appears in monitoring, or the application reports timeouts. These signals matter, and they often provide the right starting point. Problems begin when teams ...

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