AWS sagemaker documentation change
Summary
Added deprecation notice for Amazon SageMaker Debugger (closing to new customers after 6/30/26) and removed all SageMaker Python SDK v2 legacy code examples
Security assessment
The change adds a service deprecation notice but contains no evidence of addressing specific security vulnerabilities. Mentions ongoing security improvements are general maintenance statements without detailing security fixes.
Diff
diff --git a/sagemaker/latest/dg/debugger-built-in-rules-configuration.md b/sagemaker/latest/dg/debugger-built-in-rules-configuration.md index 717da0dad..6aadccda2 100644 --- a//sagemaker/latest/dg/debugger-built-in-rules-configuration.md +++ b//sagemaker/latest/dg/debugger-built-in-rules-configuration.md @@ -9 +9 @@ -To specify Debugger built-in rules in an estimator, you need to configure a list object. The following example code shows the basic structure of listing the Debugger built-in rules: +###### Note @@ -11 +11 @@ To specify Debugger built-in rules in an estimator, you need to configure a list -SageMaker Python SDK v3 +After careful consideration, we have made the decision to close new customer access to Amazon Sagemaker Debugger, effective 6/30/26. Existing customers can continue to use the service as normal. AWS continues to invest in security and availability improvements for Debugger, but we do not plan to introduce new features. For more information, see [Debugger availability change](./debugger-availability-change.html). @@ -12,0 +13 @@ SageMaker Python SDK v3 +To specify Debugger built-in rules in an estimator, you need to configure a list object. The following example code shows the basic structure of listing the Debugger built-in rules: @@ -25,14 +25,0 @@ SageMaker Python SDK v3 -SageMaker Python SDK v2 (Legacy) - - - - from sagemaker.debugger import Rule, rule_configs - - rules=[ - Rule.sagemaker(rule_configs.built_in_rule_name_1()), - Rule.sagemaker(rule_configs.built_in_rule_name_2()), - ... - Rule.sagemaker(rule_configs.built_in_rule_name_n()), - ... # You can also append more profiler rules in the ProfilerRule.sagemaker(rule_configs.*()) format. - ] - @@ -45,3 +31,0 @@ For example, to inspect the overall training performance and progress of your mo -SageMaker Python SDK v3 - - @@ -58,13 +41,0 @@ SageMaker Python SDK v3 -SageMaker Python SDK v2 (Legacy) - - - - from sagemaker.debugger import Rule, rule_configs - - rules=[ - Rule.sagemaker(rule_configs.loss_not_decreasing()), - Rule.sagemaker(rule_configs.overfit()), - Rule.sagemaker(rule_configs.overtraining()), - Rule.sagemaker(rule_configs.stalled_training_rule()) - ] -