AWS Database Blog

Category: RDS for Oracle

Working with OEM Agent software for Amazon RDS for Oracle

Amazon RDS for Oracle supports specific versions of the OEM Agent. Amazon recently released OEM Management Agent version 13.5.0.0.v2 for Amazon RDS for Oracle databases. OEM Agent version 13.5.0.0.v2 requires Oracle Management Server (OMS) version 13.5.0.23 at the minimum. In this post we explore critical scenarios affecting OEM Agents on Amazon RDS for Oracle Database instances and outline essential considerations for users.

Using StatsD for monitoring Oracle databases running on Amazon RDS or Amazon EC2

Monitoring databases is essential in large IT environments to prevent potential issues from becoming major problems that can result in data loss or downtime. Having custom dashboards and alarm-based monitoring for the database can help in analyzing historical metrics patterns and improve database availability by alerting users of any abnormal threshold breaches. In this post, we show you how to set up monitoring for your Oracle database using StatsD.

Manage users and privileges in Amazon RDS Custom for Oracle with Multitenant option

Oracle Multitenant feature is available in Oracle database from 12cR1 (12.1.0.1) and later. This enables customers to use multiple PDBs in a single Oracle database, facilitating better manageability and consolidation of environments. In Oracle Multitenant architecture, there are various user management approaches available that can be used to create and manage user accounts in the container database (CDB) and PDBs. In this post we discuss the options for managing users and how they can be set up and used for different scenarios.

Oracle Application Express for Amazon RDS for Oracle demystified

Oracle Application Express (APEX) allows you to quickly develop and deploy compelling applications that solve real problems and provide immediate value. In this post, we cover the steps for installing, configuring, and upgrading an APEX repository in Amazon RDS for Oracle and ORDS. We also show how to handle APEX when performing snapshot restore or point-in-time recovery (PITR).

Migrate spatial columns from Oracle to Amazon Aurora PostgreSQL or Amazon RDS for PostgreSQL using AWS DMS

In this post, we discuss configurations in AWS DMS endpoints and AWS DMS tasks to migrate spatial columns from Oracle to Aurora PostgreSQL-Compatible efficiently.

Enhancing performance of Amazon RDS for Oracle with NVMe SSD hosted Smart Flash Cache and Temporary Tablespaces

In this post, we discuss temporary tablespace and Flash Cache features with local NVMe SSD-based instance storage, configuration options, typical use cases, and feature availability by engine and storage configuration. We dive deep into the tiered cache capability and how it can improve the query performance of latency-sensitive workloads. We also provide an overview of the temporary object capability.

Migrating Oracle Databases from Exadata to Amazon RDS for Oracle: Addressing Performance Considerations

In this post, we provide a comprehensive guide for addressing performance considerations when migrating Oracle databases from Exadata to Amazon RDS for Oracle. We explore methods to analyze Exadata workload characteristics, including determining Smart IO usage, examining database-level I/O patterns, and identifying SQLs that utilize Exadata-specific features. We also discuss various alternatives available on RDS for Oracle to mitigate potential performance impacts.

Best practices for maintenance activities in Amazon RDS for Oracle

The Amazon RDS for Oracle User Guide provides comprehensive coverage of the maintenance activities in Amazon RDS for Oracle. However, it could be cumbersome to quickly learn about the best practices around various maintenance activities in Amazon RDS for Oracle from the user guide. In this post, we describe the key maintenance activities and the best practices to be followed for each of them.

Optimize your database storage for Oracle workloads on AWS, Part 2: Using hybrid partitioning and ILM data movement policies

This is the second post of a two-part series. In Part 1, we explored how you can use Automatic Data Optimization (ADO) and Oracle Information Lifecycle Management (ILM) policies for data compression. In this post, we demonstrate how to use Heat Map statistics to monitor data usage and integrate this information with hybrid partitioning and ILM data movement policies to move data to more cost-effective storage solutions.