AWS Database Blog
Category: Intermediate (200)
Reduce your Amazon ElastiCache costs by up to 60% with Valkey and CUDOS
In this post, we show you how to save costs on Amazon ElastiCache by upgrading your cluster engine to ElastiCache for Valkey. If you’re currently using ElastiCache for Redis OSS, you can achieve up to 60% cost savings by upgrading to Valkey.
Getting started with Amazon EC2 bare metal instances for Amazon RDS for Oracle and Amazon RDS Custom for Oracle
In this post, we explore the support for AWS bare metal instances on Amazon EC2 bare metal Instances for Amazon RDS for Oracle and RDS Custom for Oracle.
Amazon Timestream for InfluxDB: Expanding managed open source time series databases for data-driven insights and real-time decision making
In this post we are announcing the strengthening of the partnership between AWS and InfluxData as Timestream adopts InfluxDB as the main purpose-built time series database.
How Global Payments Inc. improved their tail latency using request hedging with Amazon DynamoDB
Amazon DynamoDB delivers consistent single-digit millisecond performance at any scale, making it ideal for mission-critical workloads. However, as with any distributed system, a small percentage of requests may experience significantly longer response times than the average. This phenomenon, known as tail latency, refers to these slower outliers that can be seen by looking at metrics such as the 99th or 99.9th percentile of response times. In this post, we explore how Global Payments Inc. (GPN) reduced their tail latency by 30% using request hedging. We review the technical details and challenges they faced, providing insights into how you can optimize your own latency-sensitive applications. In a next post we’ll share detailed implementation examples.
4.7 times better write query price-performance with AWS Graviton4 R8g instances using Amazon Neptune v1.4.5
Amazon Neptune version 1.4.5 introduces engine improvements and support for AWS Graviton-based r8g instances. In this post, we show you how these updates can improve your graph database performance and reduce costs. We walk you through the benchmark results for Gremlin and openCypher comparing Neptune v1.4.5 on r8g instances against previous versions. You’ll see performance improvements of up to 4.7x for write throughput and 3.7x for read throughput, along with the cost implications.
Enhanced throttling observability in Amazon DynamoDB
Today, we’re announcing improved observability for throttled requests in Amazon DynamoDB. These enhancements provide developers with enriched exception messages, detailed Amazon CloudWatch metrics, and a new, more cost-effective mode for CloudWatch Contributor Insights. Together, these improvements make it straightforward to understand, monitor, and optimize your DynamoDB applications’ performance. In this post, we explore how these […]
Scaling transaction peaks: Juspay’s approach using Amazon ElastiCache
Juspay powers global enterprises by streamlining payment process orchestration, enhancing security, reducing fraud, and providing seamless customer experiences. In this post, we walk you through how Juspay transformed their payment processing architecture to handle transaction peaks. Using Amazon ElastiCache and Amazon RDS for MySQL, Juspay built a system that processes 7.6 million transactions per hour during peak events, achieves sub-millisecond latency, and reduces infrastructure costs by 80% compared to their previous solution.
How Clari achieved 50% cost savings with Amazon Aurora I/O-Optimized
In this post, we show you how Clari optimized their database performance and reduced costs by 50% by switching to Amazon Aurora I/O-Optimized.
Introducing the Amazon DynamoDB data modeling MCP tool
To help you move faster with greater confidence, we’re introducing a new DynamoDB data modeling tool, available as part of our DynamoDB Model Context Protocol (MCP) server. The DynamoDB MCP data modeling tool integrates with AI assistants that support MCP, providing a structured, natural-language-driven workflow to translate application requirements into DynamoDB data models. In this post, we show you how to generate a data model in minutes using this new data modeling tool.
Introducing Extended Support for Amazon ElastiCache version 4 and version 5 for Redis OSS
Amazon ElastiCache now offers Extended Support so that you can upgrade to a new major version at a pace that meets your business requirements. Extended Support is a paid offering that provides critical security updates, bug fixes, and continued support for ElastiCache versions 4 and 5 for Redis OSS through January 31, 2029. Starting on February 1, 2026, ElastiCache Redis OSS v4 and v5 clusters that haven’t been upgraded will be automatically enrolled in Extended Support to provide continuous availability and security. In this post, we discuss what ElastiCache Extended Support entails, its key benefits, and the upgrade options available.