AWS Database Blog

We are excited to announce a new feature in Amazon DynamoDB that enhances the developer experience by simplifying the handling of ConditionalCheckFailedException. The new ReturnValuesOnConditionCheckFailure parameter for single write operations lets you return a copy of an item as it was during a failed write attempt, reducing the need for a read request if you want to investigate […]

Customers are opting to replicate their critical workloads to Amazon Aurora PostgreSQL-Compatible Edition for ease of use, minimal operational overhead and the ability to break free from commercial licenses. In this post, we explain the high-level steps to migrate data from a highly available on-premises Microsoft SQL Server AlwaysOn secondary read-only database to Amazon Aurora […]

Babelfish for Aurora PostgreSQL includes support for the SQL Server wire-protocol and T-SQL, which is the query language used in Microsoft SQL Server. This means that developers can use Babelfish to run their existing SQL Server applications on Amazon Aurora PostgreSQL-Compatible Edition without having to switch database drivers or completely rewrite their queries. If you’re […]

In this post, we provide a SQL Server Always On cluster database migration pattern solution to Amazon Relational Database Service (Amazon RDS) Custom for SQL Server using distributed availability groups. This solution helps reduce the migration downtime through continuous data synchronization combined with a failover process. This post is not a high availability and disaster […]

In this post, we show you common use cases for Amazon Neptune Serverless, and how you can optimize for both cost and performance by following recommended best practices. Amazon Neptune is a fully managed database service built for the cloud that makes it easier to build and run graph applications. It supports both RDF and […]

Oracle database administrators rely on tools such as Oracle’s Automatic Workload Repository (AWR) report to identify and resolve issues that are occurring in a database. Amazon Relational Database Service (Amazon RDS) for Oracle allows you to create read replicas to offload read-only workloads. Because the instances are read only, you can’t generate AWR reports to […]

In Part 1 of this series, we gave a high-level introduction to an AWS Nitro Enclaves-based Web3Signer blockchain validation and signing service. We explained the purpose of running blockchain validators and also why Nitro Enclaves are well suited to run security sensitive cryptographic workloads. We furthermore covered the high-level application architecture and briefly explained the […]

In this series of posts, we provide prescriptive guidance in secure operation of Ethereum validator keys using AWS Nitro Enclaves for node operators who provide staking pools and staking-as-a-service. In this post (Part 1), we explain why AWS Nitro Enclaves are well suited to run Ethereum validators in a secure fashion and we provide a […]

Recently one of our customers, asked us to help them encrypt their unencrypted Amazon Relational Database Service (Amazon RDS) for PostgreSQL. In this post, we show a solution to create an encrypted database from their existing unencrypted database and cut over with the least disruption to applications. This solution uses database Snapshot and PostgreSQL logical […]

Customers often use a caching service like Amazon ElastiCache to boost application performance and scale. In this post, we go over 5 different recommendations to optimize the cost of your Amazon ElastiCache for Redis clusters. Amazon ElastiCache for Redis, a fully managed caching service, is a cost-effective solution that provides ultra-fast response for modern applications. […]