AWS Database Blog

Amazon DynamoDB sends metrics about its operations to Amazon CloudWatch. At the time of this writing, the list includes 33 metrics including: throughput consumed and provisioned, account and table limits, request latencies, system errors, and user errors. Two metrics not included are the DynamoDB table size and item count. These values can be observed in […]

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 […]

When developing applications, you often need to implement a counter to accurately track actions such as votes cast, the available quantity of a resource in an eCommerce store, or tickets available for an event. These counters must be updated as the resource quantity changes. In this post, we explore seven approaches to implementing resource counters […]

This is a guest post by Ami Luttwak, CTO at Wiz, co-authored with Brad Bebee, General Manager of Amazon Neptune. Graphs are changing the way we parse and understand the world. Social graphs have had a huge impact on how we analyze social interactions across many industries. Now, in security, we can build totally new […]

Many customers are using Amazon Aurora PostgreSQL-Compatible Edition for running their business-critical database workloads in AWS. Aurora PostgreSQL is a fully managed, PostgreSQL-compatible, and ACID-compliant relational database engine that combines the speed, reliability, and manageability of Amazon Aurora with the simplicity and cost-effectiveness of open-source databases. In this post, we present a database authorization solution […]

In the pharmaceutical industry, the cost of clinical research and clinical trials is extremely high, which results in higher drug prices and insurance expenses. Furthermore, the high costs have resulted in decreased numbers of clinical trials at national research institutes and universities, slowing the progress of pharmaceutical research. In addition, incidents of data falsification or […]

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 […]

Amazon Aurora is a MySQL- and PostgreSQL-compatible enterprise class database built from the ground up for cloud-native applications. Application developers write their code using standard tooling and libraries such as JDBC drivers for Java applications, and NodeJS packages for JavaScript applications. Developers often treat Aurora like a typical RDBMS database engine and fail to utilize […]

Oracle and Microsoft customers have been deploying their database workloads to Amazon Web Services in record numbers. The AWS Optimization and Licensing Assessment (AWS OLA) has helped many of these customers save on third party licensing costs and run their database resources efficiently on Amazon Elastic Compute Cloud (Amazon EC2) and VMware Cloud on AWS […]