AWS Database Blog
Category: Database
10 Amazon Aurora tips for application developers – Part 1
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 […]
AWS Optimization and Licensing Assessments can help you to optimize Amazon RDS migration and usage costs
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 […]
Migrate Oracle Databases to AWS using transportable tablespace
Administering databases in self-managed environments such as on premises or Amazon Elastic Compute Cloud (Amazon EC2) requires you to spend time and resources on database administration tasks such as provisioning, scaling, patching, backups, and configuring for high availability. Organizations are moving their self-managed Oracle databases to AWS managed database services to offload undifferentiated heavy lifting […]
Friend microservices using Amazon DynamoDB and event filtering
The gaming industry has evolved significantly over the past few years. A feature that has become essential to that evolution is to be friends with other players and play together in the same game. From the players’ point of view, the process to become friends is straightforward. A player sends a friend request to another, […]
Migrate document workloads from Oracle SODA to Amazon DocumentDB
In this post, we show you a modernization path for the migration of your JSON workloads from on-premises databases to the AWS Cloud. You can move your document workloads to Amazon DocumentDB (with MongoDB compatibility), and use full capabilities of this purpose-built JSON database. Amazon DocumentDB is a fully-managed native JSON document database that makes […]
Implement vertical partitioning in Amazon DynamoDB using AWS Glue
In this post, we show you how to use AWS Glue to perform vertical partitioning of JSON documents when migrating document data from Amazon Simple Storage Service (Amazon S3) to Amazon DynamoDB. You can use this technique for other data sources, including relational and NoSQL databases. DynamoDB can store and retrieve any amount of data, […]
How to handle AWS DMS replication when used with Oracle database in fail-over scenarios
AWS Database Migration Service (AWS DMS) is used for migrating databases to AWS, but you can also use it for replicating data with low latency from any supported source to any supported target. When working with Oracle database, AWS DMS stops replicating data changes due to reset logs when the standby database is transitioned to […]
How CSC Generation powers product discovery with knowledge graphs using Amazon Neptune
This post is co-written with Bobber Cheng and Ronit Rudra from CSC Generation. CSC Generation is a company that focuses on acquiring overlooked stores and catalog-based retailers and transforming them into high-performance, digital-first brands. As we grew through multiple acquisitions, it became apparent that our legacy product information system (PIM), backed by relational databases, was […]
Improve query performance using Optimized Reads on Amazon RDS for MySQL and Amazon RDS for MariaDB
Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale MySQL and MariaDB deployments in the cloud. Developers are often required to run complex queries in MySQL and MariaDB environments to create a dashboard or run simple ad hoc reports. Furthermore, application developers use complex stored procedures with user-created temporary […]
Use Region pinning to set a home Region for items in an Amazon DynamoDB global table
Amazon DynamoDB global tables provide a fully managed, scalable solution for deploying a multi-Region, multi-active database that’s replicated across multiple AWS Regions. Global tables allow applications to read and write data to a table, with the data automatically replicated across all Regions that are associated with that table. Global tables are ideal for applications that […]