Leeroy Hannigan
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dynamodb.me
Leeroy Hannigan
@dynamodb.me
Sr. Solutions Architect
Amazon DynamoDB
Reposted by Leeroy Hannigan
Amazon DynamoDB now supports CloudWatch Contributor Insights mode exclusively for throttled keys along with granular throttling exceptions. These features enable more cost-effective and faster troubleshooting of throttling related issues. Learn more 👉

aws.amazon.com/blogs/databa...
Enhanced throttling observability in Amazon DynamoDB | Amazon Web Services
Today, we’re announcing improved observability for throttled requests in Amazon DynamoDB. These enhancements provide developers with enriched exception messages, detailed Amazon CloudWatch metrics, an...
aws.amazon.com
August 19, 2025 at 11:39 PM
Reposted by Leeroy Hannigan
🚀Multi-Region strong consistency (MRSC) for Amazon DynamoDB global tables is now generally available. You can use MRSC to build multi-Region applications with a Recovery Point Objective (RPO) of zero, achieving the highest level of resilience. Learn more👉

aws.amazon.com/blogs/aws/bu...
Build the highest resilience apps with multi-Region strong consistency in Amazon DynamoDB global tables | Amazon Web Services
Amazon DynamoDB now offers multi-Region strong consistency capability for global tables, providing the highest level of application resilience and enabling your applications to be always available.
aws.amazon.com
July 1, 2025 at 10:11 AM
Reposted by Leeroy Hannigan
Now available: Amazon DynamoDB supports CloudWatch percentile metrics.

Get p50, p90, p95, p99, and p100 latency percentiles for more precise observability—no code changes required.

Available in the DynamoDB and CloudWatch console and GetMetricData API.

#aws #dynamodb #cloudwatch
March 28, 2025 at 9:15 AM
Reposted by Leeroy Hannigan
Learn how warm throughput for Amazon DynamoDB can help you prepare for peak workloads by pre-warming table capacity.

This capability is designed to support consistent performance during periods of high demand.

👉 Watch the video to learn more: youtu.be/JsSZ8vJgshk?...

#DynamoDB #Serverless #AWS
Pre-warming Amazon DynamoDB tables with warm throughput | Amazon Web Services
YouTube video by Amazon Web Services
youtu.be
January 10, 2025 at 4:53 PM
🚀 @amazon.dynamodb.me Announces Configurable Point-in-Time Recovery (PITR) Between 1 and 35 Days! 🚀

DynamoDB now lets you configure Point-in-Time Recovery (PITR) with a flexible retention period from 1 to 35 days, offering more control over data recovery.

docs.aws.amazon.com/amazondynamo...
Enable point-in-time recovery in DynamoDB - Amazon DynamoDBEnable point-in-time recovery in DynamoDB - Amazon DynamoDB
Get an overview of the point-in-time recovery functionality in DynamoDB and point-in-time restore times.
docs.aws.amazon.com
January 7, 2025 at 9:04 PM
2024 was an incredible year! I surpassed my goal of doing more public speaking, sharing the knowledge of @amazon.dynamodb.me through deep dives, customer use cases, and data modeling best practices.

Thank you to everyone who attended and supported my talks - your energy made it all worthwhile!
December 24, 2024 at 7:58 PM
Warm throughput for @amazon.dynamodb.me is now supported by AWS CDK as of version 2.173.0!

For me, this feature really shines when using IaC to manage your infrastructure.
Lee Hannigan on LinkedIn: #aws #dynamodb #serverless #nosql
Amazon DynamoDB new warm throughput feature is now supported in AWS CDK starting with version 2.173.0! With warm throughput, you can pre-warm your DynamoDB…
www.linkedin.com
December 20, 2024 at 3:24 PM
Planning to experiment with GenAI over the holidays?

Check out this guide on building a scalable, context-aware chatbot with @amazon.dynamodb.me, Amazon Bedrock, and LangChain:

aws.amazon.com/blogs/databa...

Happy building!🚀

#DynamoDB #Serverless #GenAi #Bedrock #Langchain
Build a scalable, context-aware chatbot with Amazon DynamoDB, Amazon Bedrock, and LangChain | Amazon Web Services
Amazon DynamoDB, Amazon Bedrock, and LangChain can provide a powerful combination for building robust, context-aware chatbots. In this post, we explore how to use LangChain with DynamoDB to manage con...
aws.amazon.com
December 20, 2024 at 9:26 AM
Reposted by Leeroy Hannigan
Amazon DynamoDB makes it easier to scale your tables to any level of throughput.
#DynamoDB now supports warm throughput and pre-warming, letting you instantly scale for peak traffic events.

Learn more. 👉

aws.amazon.com/blogs/databa...
Pre-warming Amazon DynamoDB tables with warm throughput | Amazon Web Services
We’re introducing warm throughput, a new capability that provides insight into the throughput your DynamoDB tables and indexes can instantly support and allows you to pre-warm for optimized performanc...
aws.amazon.com
December 16, 2024 at 7:38 PM
Is your DynamoDB table ready to scale…?

Here’s a quick DynamoDB scaling checklist:

#DynamoDB @dynamodb.bsky.social
December 17, 2024 at 7:36 PM
Just back from Serverless Days Rome - what an incredible experience!

Honored to share @dynamodb.bsky.social insights. Huge thanks to the organizers for creating such an amazing event and fostering collaboration.

#Serverless #DynamoDB #Rome
December 15, 2024 at 3:28 PM
Reposted by Leeroy Hannigan
Amazon DynamoDB global tables gets even better!
Global tables now supports multi-Region strong consistency (in preview), so you can build multi-Region applications with a Recovery Point Objective (RPO) of zero.

Learn more 👉
aws.amazon.com/about-aws/wh...
Amazon DynamoDB global tables previews multi-Region strong consistency - AWS
Discover more about what's new at AWS with Amazon DynamoDB global tables previews multi-Region strong consistency
aws.amazon.com
December 13, 2024 at 3:11 PM
Curious how to efficiently consume DynamoDB Streams with AWS Lambda?

This blog shares best practices for building scalable event-driven architectures with Amazon DynamoDB and AWS Lambda:

aws.amazon.com/blogs/databa...

#AWS #DynamoDB #Lambda #Serverless
Build scalable, event-driven architectures with Amazon DynamoDB and AWS Lambda | Amazon Web Services
By combining DynamoDB streams with Lambda, you can build responsive, scalable, and cost-effective systems that automatically react to data changes in real time. In this post, we explore best practices...
aws.amazon.com
December 12, 2024 at 6:06 PM
How did Flo Health scale their Stories feature to support 70M users while keeping costs low? 🚀

#DynamoDB was the key to balancing performance + efficiency.

Read how they did it:
aws.amazon.com/blogs/databa...

#AWS #DynamoDB #Scalability #TechInsights
Scaling to 70M users: How Flo Health optimized Amazon DynamoDB for cost and performance | Amazon Web Services
Flo is the largest app in the Health and Fitness category worldwide, with 70 million monthly active users. In this post, we explain best practices Flo implemented to scale to more than 70 million mont...
aws.amazon.com
December 11, 2024 at 10:35 PM