Category: Technical How-to

To migrate an Oracle database to Amazon Aurora PostgreSQL-Compatible Edition, you usually need to perform both automated and manual tasks. The automated tasks include schema conversion and data migration, which can be handled with the AWS Schema Conversion Tool (AWS SCT) and AWS Database Migration Service (AWS DMS), respectively. The manual tasks involve post-schema AWS […]

Most database engines log error messages, warnings, traces, and audit statements. Database observability and monitoring are achieved by tracking this log information and taking proactive and reactive actions, such as allocating space when it is low, or stopping sessions causing exclusive locks or connection storms. In Amazon Relational Database Service (Amazon RDS) for Oracle, alert […]

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 […]

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 […]

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 […]

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 […]

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, […]

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, […]

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 […]