AWS Step Functions: Parallelism and concurrency in Step Functions and AWS Lambda

In this session, viewers learn to harness the power of parallelism to complete the same workload in less time. Three methods of serverless parallelism implementation are introduced using AWS Step Functions and AWS Lambda: parallel invocation of Step Functions workflows, dynamic parallelism via the Map State, and runtime-native concurrency in a single Lambda function. Example use cases for each are provided, along with basic guidance on deciding which pattern to implement. A working example of each method is constructed and executed against generated test data. Finally, a review of what the viewer has learned is presented and questions are answered.
Need a guided tutorial for Step Functions? Try the new interactive Step Functions workshop. catalog.workshops.aws/stepfun...
For more serverless resources, visit serverlessland.com/learn/aws-...

[@chrisclark5900]

One of the best explanations for parallelism in Lambda I've seen! I was also wondering the location of the repo mentioned in the video?

[@ServerlessLand]

Thank you, Chris! The repo for this series is available at rbsttr.tv/sfnrepo - this particular video's code is under 'parallelism'

[@JoshuaMFrancis]

As "map" stops other iterations when any of the iterations fail, what could be a solution in a scenario where we wish to continue with other iterations even if one of them fail? The map has max concurrency feature that would allow for parallel execution with limiting on concurrency.

[@TravellerInsideMeSince81]

Hi where do I get the links which you mentioned in video.

[@filemonek123]

y'all, greetings to texas

[@andrewmartinez8340]

David Cross? is that you?