Back to Basics: Disaster Recovery Patterns for Serverless Applications

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Published Feb 17, 2025

Get expert tips on data recovery for Amazon DynamoDB & Aurora, plus patterns to maintain consistency across microservices!

Join Cheryl as she covers:
✅ Recovering deleted/corrupted data in DynamoDB using Point-in-Time Recovery
✅ Restoring Aurora databases to any point within 35 days
✅ Using Aurora's Backtrack to "rewind" your DB cluster (MySQL)
✅ Implementing idempotency pattern with AWS Lambda Powertools to prevent double charges

Whether you're an online jeweler with fluctuating traffic or any business using microservices, you'll learn strategies to quickly recover from data issues while ensuring ACID compliance.

Don't miss these pro tips for keeping your serverless apps resilient!

Additional Resources:
Point-In-Time Recovery (PITR) for Amazon DynamoDB - https://aws.amazon.com/dynamodb/pitr/
Security Best Practices in IAM - https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html
Overview of Backing Up and Restoring an Aurora DB Cluster - https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Backups.html
Backtracking an Aurora DB Cluster - https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Managing.Backtrack.html
Handling Lambda Functions Idempotency with AWS Lambda Powertools - https://aws.amazon.com/blogs/compute/handling-lambda-functions-idempotency-with-aws-lambda-powertools/

Check out more resources for architecting in the #AWS cloud:
http://amzn.to/3qXIsWN

#AWS #AmazonWebServices #CloudComputing #BackToBasics #DisasterRecovery #AmazonAurora #AmazonDynamoDB #DataRecovery