Category: RDS for Oracle

In this post, we show you how to successfully set up SSL connectivity with Amazon Relational Database Service (Amazon RDS) for Oracle. For the purpose of this post, we have considered scenarios of SSL connectivity with the source as a SQL Plus client over a Linux platform and also a Java application client. SSL connectivity […]

Customers prefer to host their relational database workloads in a managed service such as Amazon Relational Database Service (Amazon RDS) because of the benefits offered by managed services. Although Amazon RDS offers automatic backups as a native feature, your data retention policies may require longer retention periods than the retention policy supported by Amazon RDS. […]

Amazon Relational Database Service (Amazon RDS) makes it straightforward to set up, operate, and scale a relational database in the AWS Cloud. When monitoring Amazon RDS, you can use Amazon CloudWatch metrics for basic monitoring, Amazon RDS Performance Insights for database and query performance analysis, and Enhanced Monitoring for OS-level metrics. These tools provide valuable […]

Many organizations have a large number of Oracle databases running on multiple physical servers or virtual machines. They invest substantial resources in the operation and administration of these databases, incurring expenses for infrastructure, management, and licensing. In many cases, these physical servers and virtual machines are under-utilized due to improvements in hardware technology, increase in […]

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. A custom engine version (CEV) for Amazon RDS Custom for Oracle is a binary volume snapshot of a database engine and specific Amazon Machine […]

Customers use semi-structured or unstructured data storage for various business use cases, which is schema-less and flexible in nature. One such type of semi-structured data is JavaScript Object Notation (JSON). JSON stores data in the form of KEY, VALUE, LIST, and ARRAY formats. Oracle Database stores JSON object data in CLOB data type columns. PostgreSQL […]

Most migrations from on-premises Oracle to Amazon Relational Database Service (Amazon RDS) for Oracle use EXPDP/IMPDB or Transportable Tablespaces using RMAN. Depending on the size and complexity, migrations are often split at the schema level and table level. In this post, we present a solution to help you identify missing schema objects in the target […]

Oracle Global Data Services (Oracle GDS) is a specialized service for managing connections in distributed databases within a global environment. It’s designed to provide high availability, scalability, and efficient load balancing across multiple Oracle database instances. Oracle GDS acts as an intermediary layer between application and database tiers, overseeing high availability, optimizing load balancing, and […]

It is important to safeguard the integrity and confidentiality of communication between clients and databases. The deployment of SSL (Secure Sockets Layer) for this purpose, however, can sometimes face resistance, either due to actual complexities or perceived challenges associated with the specific tools used by individuals or organizations. In this post, we address these concerns […]

After migrating your Oracle databases to Amazon RDS for Oracle, you might want to exercise more control over CPU and other resources. For such use cases you can use Oracle Resource Database Manager to prioritize the CPU allocation for certain applications or users in order to have consistent performance for highly critical applications. This feature was introduced In Oracle 8i and is available in all subsequent versions of Oracle Enterprise Edition. In this post, we show how to implement Oracle Database Resource Manager in an RDS for Oracle database using the CPU utilization attribute. These criteria can be used to distribute and limit the resources across high-priority web-based OLTP transactions and low-priority batch processing.