Category: Best Practices

In this post, we show you how to use scheduled queries in Amazon Timestream to improve your query performance and reduce cost. Scheduled queries make real-time analytics more performant and cost-effective, so you can derive additional insights from your data and continue to make better business decisions. Timestream is a serverless time series database that […]

Securing SQL Server databases in the cloud is critical, and Amazon Relational Database Service for SQL Server (Amazon RDS) provides several security features to help ensure the confidentiality, integrity, and availability of your database instances. These features include data encryption at rest and in transit, secure user authentication and authorization mechanisms, network isolation, and fine-grained […]

Many customers deploy the Oracle Database to an on-premises data centers running general purpose hardware or a highly customized Oracle Exadata hardware. These Oracle database customers are now looking to migrate to Amazon Relational Database Service (Amazon RDS) for Oracle, which is a fully managed commercial database that makes it easy to set up, operate, […]

Amazon Relational Database Service (Amazon RDS) Custom for SQL Server is a managed database service for legacy, custom, and packaged applications that require access to the underlying operating system and database (DB) environment. It helps automate the setup, operation, and scaling of databases in the cloud while granting access to the database and underlying operating […]

Applications in the past were monolithic and rigid, and their components were closely coupled with each other, making them difficult to develop, maintain, and adapt to changing business requirements. Today’s businesses need to deliver changes rapidly, frequently and reliably. To overcome these issues, organizations are moving from development of monolithic applications to microservices architectures for […]

Amazon Relational Database Service (Amazon RDS) Custom for Oracle is a managed database service for legacy, custom, and packaged applications that require access to the underlying operating system and database environment. Amazon RDS Custom now supports the Oracle Multitenant option on Oracle Database version 19c using Enterprise Edition. With this release, an RDS Custom for […]

Amazon DynamoDB uses horizontal scaling to support tables of virtually any size. In addition to horizontal scaling, DynamoDB provides single-digit millisecond performance for workloads of all sizes. Retail sites like Amazon.com use DynamoDB for their shopping carts and workflow engines. A slow response while processing an order can not only be frustrating to customers, but […]

Amazon DocumentDB is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6, 4.0, and 5.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without worrying about managing the underlying infrastructure. As a document database, Amazon DocumentDB […]

With the announcement that Amazon Relational Database Service (Amazon RDS) for Oracle now supports integration with Amazon Elastic File System (Amazon EFS), you can keep temporary files like Oracle Data Pump export, import files on Amazon EFS file system, and directly access from it. Furthermore, you can leverage Amazon EFS integration for sharing a file system between […]

This is the second post of the two-part series on how application developers can take advantage of Amazon Aurora features, capabilities, and complementary services. In Part 1, we shared the first five tips: Split the application SQL read/write load to enhance your app’s performance. For Java apps, use AWS JDBC drivers for faster app recovery […]