AWS re:Invent 2023 – Day 1 Recap

Amazon Aurora Limitless Database (Preview) 

Amazon Aurora introduces the preview of Aurora Limitless Database, offering automated horizontal scaling to handle millions of write transactions per second and manage petabytes of data in a single database. This groundbreaking capability allows scaling beyond the limits of a single Aurora writer instance with independent compute and storage capacity. The two-layer architecture includes shards for parallel processing and transaction routers for managing distribution and ensuring consistency. Users can easily start with a preview in specified AWS regions, selecting the Limitless Database-compatible version and creating tables with options for maximum Aurora capacity units. Connectivity is established through the limitless endpoint, and two table types (Sharded and Reference) to optimize data distribution for enhanced performance. Aurora Limitless Database streamlines the scaling process, enabling the development of high-scale applications without the complexity of managing multiple instances. 

Amazon SQS FIFO queues – Throughput increase and DLQ redrive support 

Amazon SQS has introduced two new capabilities for FIFO (first-in, first-out) queues. Maximum throughput has been increased up to 70,000 transactions per second (TPS) per API action (compared to the previous limit of 18,000 TPS per API action in October) in selected AWS Regions, supporting sending or receiving up to 700,000 messages per second with batching. Similar to the DLQ redrive that is available for Standard Queues, DLQ redrive support for FIFO queues is introduced to handle the messages that are not consumed after a specific number of retries. This helps to set up the process to analyze the messages, take necessary actions for failures, and push the messages back to source queues or re-process the messages. These features can be leveraged to build more robust and scalable message processing systems. 

Amazon ElastiCache Serverless for Redis and Memcached 

Amazon Web Services (AWS) announced the general availability of Amazon ElastiCache Serverless for Redis and Memcached, a new serverless option that simplifies the deployment, operation, and scaling of caching solutions. ElastiCache Serverless requires no capacity planning or caching expertise and constantly monitors memory, CPU, and network utilization, providing a highly available cache with up to 99.99 percent availability. ElastiCache Serverless automatically scales to meet your application’s traffic patterns, and you only pay for the resources you use. 

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