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.
2026-06-10
1,211 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.
2026-05-20
804 reads
This post shows you how to install containerd as the container runtime for Kubernetes...
In 1999 I released my first commercial software product. ShutOff 2000 was a Windows...
By Steve Jones
This month I want to look at a few of the things I’ve seen...
Wa:083849450961 Jl. Bungur Besar Raya No.32 & 32A, RT.3/RW.1, Gn. Sahari Sel., Kec. Kemayoran,...
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I have an Azure SQL Database Hyperscale Edition system running with a geo-replica enabled. Can I create a new geo-replica based on the current secondary geo-replica?
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