DynamoDB

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🚀 Amazon DynamoDB global tables now support multi-account replication, helping you strengthen fault tolerance, isolate workloads, and apply distinct security controls across accounts and regions. Get started with multi-account global tables today 👉 go.aws/4qWpgr8

🚀 Amazon DynamoDB global tables with multi-Region strong consistency now support AWS Fault Injection Service! Test regional failures with controlled experiments, validate recovery processes, and help your apps maintain 99.999% availability. Learn More 👉 go.aws/4tekTtd

🚀 DynamoDB multi-attribute keys let you build GSIs with up to 4 attributes per key—no more string concatenation! Use your natural domain attributes directly. Cleaner code, better type safety, zero backfilling. Get started here 👉 go.aws/3XsGaRn

🚀 Join us for DynamoDB Day on Nov 19, 2025 (11 AM–4 PM ET)! 🧠 If you build or manage at-scale applications with Amazon DynamoDB, you’ll want in—expect real-world lessons on data modelling, cost optimization, resilience, & scaling. 🔗 Register free: go.aws/47D8jLf

AWS DynamoDB Global Tables prescriptive guidance has been updated with Multi-Region Strong Consistency (MRSC) tables. Get the latest best practices for building globally distributed applications with strong consistency guarantees. Learn more 👉 go.aws/422AfoJ

Amazon DynamoDB now supports a 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 👉go.aws/4fNqaS8

🚀 Amazon DynamoDB Streams now supports a new ShardFilter parameter in the DescribeStream API. This enhancement enables faster shard discovery, reducing latency and improving the responsiveness of stream processing applications. Learn more 👉 go.aws/3GIC2b4

🚀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👉go.aws/4ksdEs8

🤔 Wondering what MCP is? AWS Labs released MCP servers for interacting with your databases! Learn more 👉 go.aws/44OJk5d

🚀 Amazon DynamoDB Streams now supports Kinesis Client Library (KCL) 3.0! Learn more: 👉 go.aws/4mZakad

🚀 You can now instantiate a local DynamoDB on AWS CloudShell to test and develop locally. No downloads needed. Learn more 👉 go.aws/437hUaU

🚀 Amazon #DynamoDB Accelerator (DAX) now supports R7i instances. You can use R7i instances to achieve better price-performance compared to previous-generation instances available for DAX. Learn more 👉 go.aws/3YYDkV9

🚀 Transform your FSI legacy systems with #DynamoDB: Scale faster, go serverless. Join AWS experts to unlock real-time payment processing & learn from Amazon's own 7.5K database migration success. 💳⚡ #FinTech #CloudComputing👉 go.aws/4jsb5GO

🚀 Transform your FSI legacy systems with #DynamoDB: Scale faster, go serverless. Join AWS experts to unlock real-time payment processing & learn from Amazon's own 7.5K database migration success. 💳⚡ #FinTech #CloudComputing 👉 go.aws/42ULUqh

🚀Amazon DynamoDB Streams APIs now support AWS PrivateLink! You can now simplify private network connectivity between your Amazon Virtual Private Clouds (VPCs), DynamoDB, and your on-premise networks. Learn more 👉 go.aws/4j2EeYZ

Curious about what happened with DynamoDB in 2024? From performance improvements to new developer tools, we've been busy making your database experience better. Read our year in review to explore all the innovations. 👉 go.aws/4jJYSh1

🚀 Breaking free from SQL? This DynamoDB guide is your escape pod! From basics to pro moves - grab the definitive guide here: go.aws/40w9Xtv #AWS #NoSQL

🚀 Amazon DynamoDB makes it easier to scale your tables to any level of throughput. DynamoDB now supports warm throughput and pre-warming, enabling you to instantly scale for peak traffic events in the AWS GovCloud (US) Regions. Learn more 👉 go.aws/3Q6Y3l3

🚀 Amazon DynamoDB now supports a configurable period for point-in-time-recovery (PITR). You can specify the duration for data recoverability using PITR on a per-table basis, ranging from 1 to 35 days. Learn more. 👉 go.aws/4a8gxdQ