Category: Advanced (300)

Customers prefer to host their relational database workloads in a managed service such as Amazon Relational Database Service (Amazon RDS) because of the benefits offered by managed services. Although Amazon RDS offers automatic backups as a native feature, your data retention policies may require longer retention periods than the retention policy supported by Amazon RDS. […]

Amazon DynamoDB is a serverless, NoSQL, fully-managed database service that delivers single-digit millisecond latency at any scale. Customers increasingly use workload isolation strategies to minimize security threats and to ease the complexity of compliance demands for their DynamoDB-backed workloads. Implementing workload isolation strategies often requires cross-account and cross-Region access to DynamoDB resources using IAM identity-based policies, which […]

End of support notice: On March 31, 2027, AWS will end support for Amazon RDS Custom for Oracle. Existing customers can continue using the service until March 31, 2027. After March 31, 2027, you will no longer be able to access RDS Custom for Oracle resources including database instances, snapshots, and custom engine versions. We […]

Developers want to perform bulk updates to modify items in their Amazon DynamoDB tables. Reasons for performing bulk updates can include: Adding or updating attributes – backfilling a Time to Live (TTL) value or populating an attribute to support a new access pattern or global secondary index (GSI). For example, enriching existing data with new […]

Amazon DynamoDB is a serverless, NoSQL, fully-managed database that delivers single-digit millisecond performance at any scale. It’s a multi-Region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. Customers can access DynamoDB from their VPC or from workloads that run on-premises with gateway endpoints. For on-premises private network connectivity […]

In recent times, there has been a growing interest in using foundation models (FMs) to build generative AI applications. These models are trained on vast amounts of data and are capable of performing tasks that were previously thought to be the exclusive domain of humans, such as creating art and music. However, when it comes […]

Amazon Relational Database Service (Amazon RDS) is a managed relational database service offering. It takes care of installation, storage provisioning, storage management, OS and database patching, and snapshot and restore of database instances. Offloading the undifferentiated heavy lifting of database infrastructure management to AWS helps you focus efforts where you can make the biggest difference […]

In Part 1 of this series, we introduced the Account Abstraction (AA) concept and explained how it overcomes some of the user experience challenges of Externally Owned Account (EOA) wallets. We also covered how you can apply AA in the context of different use cases, such as marketing campaigns and enabling user onboarding at scale. […]

Amazon Relational Database Service (Amazon RDS) is a managed database service that simplifies the setup, operation, and scaling of popular database engines, including Microsoft SQL Server. In on-premises environments, SQL Server is typically configured to work with Microsoft Active Directory (AD) for NTLM and Kerberos authentication. AWS offers managed services for both components, making it […]

Security is a top priority in any organization. Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the AWS Cloud. It provides cost-efficient, resizable capacity for an industry-standard relational database and manages common database administration tasks. Amazon Aurora is a fully managed, MySQL- and PostgreSQL-compatible […]