AWS re:Invent 2020: Deep dive on AWS Lambda consumers for Amazon Kinesis

AWS released mechanisms for scaling the consumption of Amazon Kinesis Data Streams last year. In this session, dive deep on two different scaling mechanisms. First, learn how Enhanced Fan-Out allows you to scale multiple, independent application AWS Lambda consumers per shard. Second, see how Parallelization Factor allows you to scale an application as multiple concurrent Lambda consumers per shard. This gives users more flexibility as they look to consume from Kinesis Data Streams.
Learn more about re:Invent 2020 at bit.ly/3c4NSdY
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[@MattThomasLondon]

Best video on this topic

[@mwont]

Awesome explanation of how Lambda + Kinesis work behind the sense.

[@naveenkudupudi]

Thank You.

[@akhilreddy8604]

Can you also explain about the StartingPosition.

[@awssupport]

Hello! I found a few docs that might be useful: go.aws/45ww03G & go.aws/3ZWvx9w. If these aren't quite it, feel free to reach out to our community of experts in re:Post: go.aws/aws-repost. 📝 ^LG