AWS lambda documentation change
Summary
Minor wording improvements in durable functions documentation
Security assessment
Changes are limited to rephrasing for clarity (e.g., changing 'ensure' to 'help ensure' and 'enable' instead of 'ensure'). No security vulnerabilities, features, or implications are addressed.
Diff
diff --git a/lambda/latest/dg/durable-examples.md b/lambda/latest/dg/durable-examples.md index f234d8064..5d577aeb3 100644 --- a//lambda/latest/dg/durable-examples.md +++ b//lambda/latest/dg/durable-examples.md @@ -13 +13 @@ Lambda durable functions enable you to build fault-tolerant, multi-step applicat -Use durable functions to build reliable operations that typically complete within minutes. While these processes are shorter than long-running workflows, they still benefit from automatic checkpointing and fault tolerance across distributed systems. Durable functions ensure your multi-step processes complete successfully even when individual service calls fail, without requiring complex error handling or state management code. +Use durable functions to build reliable operations that typically complete within minutes. While these processes are shorter than long-running workflows, they still benefit from automatic checkpointing and fault tolerance across distributed systems. Durable functions help ensure your multi-step processes complete successfully even when individual service calls fail, without requiring complex error handling or state management code. @@ -337 +337 @@ When the callback is received and your function resumes, it replays from the beg -Process large datasets through extraction, transformation, and loading phases with checkpoints between stages. Each stage can take hours to complete, and checkpoints ensure the pipeline can resume from any stage if interrupted. +Process large datasets through extraction, transformation, and loading phases with checkpoints between stages. Each stage can take hours to complete, and checkpoints enable the pipeline to resume from any stage if interrupted. @@ -677 +677 @@ Python -The process combines sequential steps with checkpoints for account creation and email sending, then pauses for up to 48 hours waiting for email verification without consuming resources. Conditional logic handles different paths based on whether verification completes or times out. Profile setup tasks run concurrently using parallel operations to reduce total execution time, and each step retries automatically on transient failures to ensure the onboarding completes reliably. +The process combines sequential steps with checkpoints for account creation and email sending, then pauses for up to 48 hours waiting for email verification without consuming resources. Conditional logic handles different paths based on whether verification completes or times out. Profile setup tasks run concurrently using parallel operations to reduce total execution time, and each step retries automatically on transient failures to help ensure the onboarding completes reliably.