The Modern SDLC — How Software and Code Safely Moves to Production

Learning the Dots by Matt Williams

Episode notes

In this episode of Learning the Dots, Alex and Morgan break down the modern Software Development Lifecycle (SDLC) and explain how code safely moves from idea to real users. Software doesn’t jump straight into production—it progresses through structured environments like development, staging, and production to reduce risk and protect customer experience.

The conversation covers how teams use ephemeral environments and autoscaling to control infrastructure costs in the cloud, spinning resources up only when needed. They also explain why data masking is essential during testing, ensuring sensitive information is anonymized to maintain compliance and protect privacy.

A key risk highlighted in the episode is configuration drift, where manual changes cause cloud en ... 

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Keywords
SDLCcloud environmentsconfiguration driftInfrastructure as Codeblue-green deploymentcanary releasedata maskingautoscalingsoftware testing