Spending Time in the Office
Many of us work remotely, lots of of hybrid, but some are in the office every day. Steve has a few thoughts on these models.
How to host an AI text embeddings model for SQL Server using Ollama
When we want to use AI-based comparisons of text, via vector search in SQL Server, we need to first generate embeddings for the text. An embedding is a numeric representation of meaning, usually represented by vectors. In this article, I’ll show you how to use Ollama to host a server locally that can be used to generate embeddings.
Index Fragmentation Explained: Page Splits, Logical Reads, and What to Do
Index fragmentation can silently degrade your query performance over time. Learn what happens at the page level, how to measure it, and how to fix it.
What is the Cloud?
Today Steve has a few thoughts on what the cloud is in 2026. See if you like his analogy.
How to Deploy SQL Server on Kubernetes running on Windows
Learn how to deploy SQL Server on Kubernetes using Docker Desktop on Windows. Unlock powerful capabilities for your database.
Why even the best teams struggle with cloud migrations
Grant Fritchey explains the concept of ‘unknown unknowns’, points out what to watch out for in a cloud migration, and offers proven strategies to help your migration go as smooth as possible.
Midjourney, Healthcare?
Certain announcements in AI tell you more about where an industry is heading than any earnings call or research paper ever could, and Midjourney just made one. The company that spent the last few years as the most recognizable name in image generation, the one whose pictures flooded everyone's feeds and defined what people saw […]
Changes, Happiness, and a Few Tears
Change is unavoidable and always affects us. We can be both happy and sad about it as we move forward. A tribute today to Annabel, who retired from Redgate Software this week.
You Probably Don't Need a Vector Database
Introduction Conversations about RAG almost always start with a vector database. This article suggests you dig deeper before implementing one.
The LLM layer you’re probably missing (LLM gateway pattern explained)
The LLM gateway pattern is a thin service layer that sits between your app and large language model (LLM) providers, centralizing every AI call through a single entry point. It gives you immediate control over routing, logging, retries, fallbacks, and cost tracking – preventing the chaos of scattered integrations, unclear billing, and provider lock-in as your system scales. Learn all you need to know about the LLM gateway pattern in this article.
Blogs
Getting the SQL Server MCP Server Running
By Steve Jones
If you’ve wanted a SQL Server MCP server for your databases, it’s available. The...
Introducing azsql-migration-test: Test and Validate Azure SQL Database Migrations
Introducing azsql-migration-test, a small open-source CLI that validates your Azure SQL Database migrations against...
Rambling about Data on Wheels – origins, branding, expansion
By DataOnWheels
I have been asked many times about how the name “Data on Wheels” came...
Forums
Make It Routine
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DBCC CHECKDB Limits III
Comments posted to this topic are about the item DBCC CHECKDB Limits III
CROSS APPLY Fundamentals: Part 1
Comments posted to this topic are about the item CROSS APPLY Fundamentals: Part 1
Question of the Day
DBCC CHECKDB Limits III
On SQL Server 2025, does DBCC CHECKDB support Memory-Optimized tables?
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