IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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Model Registry: Managing the ML Model Lifecycle
A model registry is where trained models become managed releases. This guide runs a full lifecycle in MLflow: a production champion, a retrained challenger, a validation gate on held-out data, promotion by moving an alias, tags for audit, and a one-line rollback, with the reasoning behind each step.
S3 Lifecycle Policies and Storage Cost Savings
S3 Lifecycle rules move objects to cheaper storage classes and delete them on a schedule. This guide explains transition and expiration actions, builds a three-rule configuration for a data lake bucket with boto3, and sets out the charges that catch people out: small objects, minimum durations, versions and archives.