Category: Amazon RDS

Amazon RDS Custom for Oracle provides all the management benefits of Amazon RDS, as well as the ability to customize the database. While RDS makes it easy to set up, operate, and scale relational databases within AWS, however, legacy applications like Oracle E-Business Suite (E-BS) require customization of database environments not supported by RDS. Learn about Navisite’s implementation of Oracle E-BS with Amazon RDS Custom for Oracle, along with advice for setup and management.

Thousands of organizations rely on Salesforce to manage their customer relationships, though they may store related data in a variety of heterogeneous external systems. Organizations use AWS for the variety of data stores, and Amazon RDS makes it simple for users to set up, operate, and scale databases in the cloud. Learn how to build an integration between Salesforce and Amazon RDS using the Salesforce Connect Adapter for GraphQL.

Developers can rely on AWS CloudFormation to update or add new resources to an application, as CloudFormation provides two methods for updating the stack: direct update or change set. Learn how to update the value and add new resources to your running Amazon RDS deployment, and explore architecture diagrams to help you see how the system behaves when you apply the changes via CloudFormation template.

To curb spend and unlock scale, Precisely collaborates with AWS to provide the means to synchronize mainframe data in the cloud at speed and power modern applications. Learn how Precisely Connect integrates data seamlessly from legacy systems into next-generation cloud and data platforms. Using Precisely Connect, data from sequential files, VSAM datasets, or databases such as IMS and Db2 can be transferred to Amazon RDS.

As more workloads move to AWS, secure and robust solutions are needed for backing up AWS managed services such as Amazon RDS Custom for Oracle. Learn how fast and easy it is to protect your data securely with Druva, an AWS Competency Partner and SaaS-based platform to protect and manage enterprise data across endpoints, data centers, and native cloud workloads. We’ll also demonstrate how Druva can be configured to back up Amazon RDS Custom safely and securely.

Learn how the Heimdall Database Proxy can be configured to provide customer query routing for Amazon RDS for Postgres, although any SQL database type including Amazon Redshift can be supported. This provides a single Heimdall Proxy endpoint to access data for multiple customers from multiple databases, transparently. Heimdall Data provides functionality needed to support many complex database environments, and solves many of the challenges in scaling database access.

Learn how to set up Active Directory authentication with authorization for Postgres. Heimdall Data provides synchronization scripts for other databases as well, allowing all Amazon RDS instance types to be supported in a similar way. Using Active Directory authentication allows organizations to standardize their password and authorization management via a globally available authentication store, reducing management overhead and improving security and auditing capabilities.

As organizations run mission-critical databases on Oracle Exadata, businesses are increasingly looking for proof points of like-to-like performance of these databases on Amazon Web Services (AWS). This post explores how Tata Consultancy Services (TCS) supported a UK-based utility provider’s digitalization journey by comparing performance of their on-premises Oracle Exadata database with Amazon RDS for Oracle.

Organizations the world over rely on the Exadata database platform to operate and manage Oracle databases, simplify data management, and ensure performance-intensive systems are running as expected. While Exadata workloads perform well on premises, customers are looking to achieve the scalability, flexibility, and cost benefits of AWS. Learn how Navisite tests the performance of Exadata workloads once they have been migrated to AWS using Oracle Real Application Testing (RAT).

As software release cycles get progressively faster, coordinating database schema changes with application releases becomes more difficult. For some teams, it may require a complete overhaul of processes and perhaps even a change in mindset but it is possible. Tools such as GitLab and Liquibase can be used to automate the deployment of database schema changes. Learn how Blue Sentry has extensive experience using infrastructure as code (IaC) to improve CI/CD processes and to support better outcomes for customers.