Build an AWS Lambda Serverless function with PyMongo & MongoDB

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Follow along as MongoDB Developer Advocate Anaiya Raisinghani explains how to use AWS Lambda with PyMongo, MongoDB's Python Driver!
This tutorial will take you through setting up an Atlas Cluster, establishing an AWS Lambda function, connecting the cluster to Lambda, and loading in/reading back specific information. Watch through the end for information on utilizing MongoDB's Aggregation Pipeline structure.
🔗 Resources 🔗
✅ For an article format of this video along with code samples, please view our Developer Center → mdb.link/article--ZSKyLspT3Q
✅ Connect with Anaiya → / anaiyaraisinghani
✅ View more of Anaiya's content → www.mongodb.com/developer/sea...
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[@MongoDB]

✅ Sign-up for a free cluster at → mdb.link/free--ZSKyLspT3Q
✅ Written article with code samples → mdb.link/article--ZSKyLspT3Q

[@ffs0]

seems too easy the way she is doing

[@moritzvoss3056]

Great video!

[@mohammedregragui9631]

the best tutorial, thank you

[@jacksondahl8584]

Wow! This is exactly the tutorial I was looking for, thank you! Wonderfully made.

[@MongoDB]

Glad it was helpful!

[@katiechorao919]

you took the words out of my mouth!

[@alhassanmumin1935]

I love this

[@ofir952]

Thank you for the tutorial! Could you explain why it takes so long to fetch data? Half a second is too long for my use case, I would love to hear a solution for that.

[@anaiyaraisinghani3448]

You're welcome! Yeah, there can actually be a number of reasons for this...the ones off the top of my head for this specific tutorial are: starting up the connection after not using it for a while (a cold start), making sure your MongoDB cluster is in the same region as your lambda function, and personal code optimization (for the sake of the tutorial I didn't optimize my code as well as I should have, but I wanted to ensure watchers understand what's happening step by step).
Hopefully some of these reasons can help you out with your use case. :)