This level examines how a rehearsed changeset is transformed into production-ready deployment artifacts. By consolidating scripts into controlled execution units and validating the resulting artifacts, the approach ensures that production deployment remains predictable and aligned with what was proven during rehearsal.
2026-06-11 (first published: 2026-06-10)
1,097 reads
After defining the deployment contract in the previous level, this article focuses on validating a changeset before it reaches production. Rehearsal across environments ensures that execution order, rollback behavior, and baseline alignment all behave exactly as expected.
2026-06-11 (first published: 2026-05-20)
703 reads
Learn about restoring your keys from an Azure Key Vault in the event of a DR situation.
2026-05-13
1,272 reads
Level 2 formalizes the behavioral guarantees that a changeset must provide in order to be safely deployed and rolled back. It introduces the deployment contract, checkpoint semantics, and the structural scope of Create and Rollback scripts. Data changes are addressed through a dedicated Update mechanism, with clear boundaries and limitations. By the end of this level, a changeset becomes a predictable and well-defined unit that can be reasoned about independently of execution context.
2026-06-11 (first published: 2026-05-06)
1,206 reads
In this level we learn how to ensure our keys are backed up to the Azure Key Vault for safekeeping.
2026-04-22
746 reads
This stairway addresses many of the issues that come about with ad hoc database deployment processes in many organizations. You will learn how to better architect and structure your processes to ensure a reliable database deployment for your applications.
2026-06-11 (first published: 2026-04-15)
342 reads
Stairway to Reliable Database Deployments introduces a progressive approach to managing database changes with clear intent, predictable rollback, and explicit behavioral guarantees. Starting from change design and moving toward execution and coordination in complex environments, the Stairway provides a conceptual framework for deploying database changes safely and consistently, independent of specific tools or automation platforms.
2026-06-11 (first published: 2026-04-15)
1,902 reads
Learn how backup and restore work in Azure SQL Hyperscale in this next level in the stairway series.
2025-12-17
925 reads
In this level, we learn about the database file size growth in Hyperscale.
2025-12-03
144 reads
Learn about how the Log Service helps manage transactions in the Hyperscale Tier.
2025-10-29
1,133 reads
By Steve Jones
gnossienne– n. the awareness that someone you’ve known for years still has a private...
How I used AI for this postChatGPT to generate images based on info specifically...
By Brian Kelley
A few months ago I started using Deepstash. Deepstash breaks books into the key...
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If I want to return information about all Database Mail profiles on my instance from T-SQL, how can I do this?
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