This Guidance helps customers set up high availability for Oracle databases using Amazon RDS Custom for Oracle service, a managed cloud data service that makes it easier to operate and scale relational databases. It addresses the challenges for those who want to utilize Amazon RDS Custom for Oracle, but don't have an automated way to implement those instances. This hinders their ability to meet application service level agreements and requires manually configuring high availability instances. This Guidance can help customers streamline their high availability setup, offload complex configuration tasks, and ensure maximum availability, thanks to the integration of Oracle Data Guard with Fast-Start Failover monitoring.

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Architecture Diagram


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Well-Architected Pillars

The AWS Well-Architected Framework helps you understand the pros and cons of the decisions you make when building systems in the cloud. The six pillars of the Framework allow you to learn architectural best practices for designing and operating reliable, secure, efficient, cost-effective, and sustainable systems. Using the AWS Well-Architected Tool, available at no charge in the AWS Management Console, you can review your workloads against these best practices by answering a set of questions for each pillar.

The architecture diagram above is an example of a Solution created with Well-Architected best practices in mind. To be fully Well-Architected, you should follow as many Well-Architected best practices as possible.

  • CloudFormation and Systems Manager documents were deployed throughout this Guidance to enhance operational excellence. These services help automate post-instance creation tasks in Amazon RDS Custom for Oracle databases, enabling users to quickly set up, monitor, and understand the state and achievement of business outcomes for their environment. The use of CloudFormation and Systems Manager streamlines the process of integrating and deploying changes to the high availability setup, ensuring efficient and controlled modifications to the database stack.

    Read the Operational Excellence whitepaper 
  • Amazon EC2 security groups, IAM, and AWS Key Management Service (AWS KMS) work collectively to enhance security in this Guidance. Using Amazon EC2 security groups and IAM policies, access is granted to the Amazon EC2 observer instance based on the principal of least privilege. Only the required ports for the database listener and the Oracle Data Guard communication are open between the Amazon EC2 instance and the Amazon RDS Custom database instance. Also, infrastructure protection is prioritized by restricting access through the Amazon EC2 security group settings. Finally, data protection is ensured by requiring an AWS KMS key for encryption in Amazon RDS Custom for Oracle, and by scoping IAM policies to the minimum permissions required, with only authorized access allowed. 

    Read the Security whitepaper 
  • CloudFormation and AWS CloudTrail work in tandem to enhance reliability throughout this Guidance. CloudTrail monitors and tracks changes, and CloudFormation streamlines deployment. These measures collectively contribute to ensure failover management, effective monitoring, and consistent deployments. When it comes to monitoring and tracking changes, Amazon RDS Custom for Oracle automatically generates a CloudTrail entry that is crucial for Amazon RDS Custom for Oracle automation logs. This ensures effective monitoring of actions that may impact the system's reliability. To streamline the deployment process and ensure consistency, the script is built on CloudFormation. This script simplifies the deployment of the entire stack, reducing the chances of errors and ensuring reliable deployments.

    Read the Reliability whitepaper 
  • Amazon RDS Custom for Oracle was deployed throughout this Guidance to enhance performance efficiency. This service is designed for privileged access to databases and operating systems, making it ideal for critical workloads that require high availability. It offers a streamlined deployment option, allowing users to implement, test, and easily customize configuration settings such as an Amazon RDS instance size, observer instance size, Oracle Data Guard configuration parameters, and Fast-Start Failover parameters.

    Also, Amazon RDS Custom for Oracle can be customized to meet the requirements of older, custom, and packaged applications. Implementing this Guidance in multiple Availability Zones within the same Region ensures maximum availability and optimal performance. And, the streamlined deployment option allows for easy customization of your configuration settings.

    Read the Performance Efficiency whitepaper 
  • Amazon EC2 and a Virtual Private Cloud (VPC) are used throughout this Guidance to optimize the cost of your workloads. An Amazon EC2 instance evaluates the cost by leveraging the pay-as-you-go model. This Guidance also uses an Amazon EC2 T3 instance, which are the low-cost general purpose instance types. This Guidance also uses Amazon RDS Custom for Oracle within the same VPC, which further eliminates data charges across VPCs. 

    By utilizing the managed service capabilities in this Guidance, you can benefit from scalable compute and storage options, ensuring that resources are scaled to match the demand dynamically. This approach also ensures that only the minimum resources required are provisioned, effectively optimizing costs.

    Read the Cost Optimization whitepaper 
  • Amazon EC2, Lambda, and Amazon RDS Custom for Oracle enhance sustainability in this Guidance. These services can easily scale up or down to match the load, using the scale compute feature, for sustainable utilization of resources. Lambda offers automatic scaling based on demand, and being a serverless service, it reduces the chances of overprovisioning your resources.  This helps ensure maximum utilization of resources. Finally, Amazon EC2 and Amazon RDS Custom for Oracle can also be configured to scale up or down based on demand.

    Read the Sustainability whitepaper 

Implementation Resources

The sample code is a starting point. It is industry validated, prescriptive but not definitive, and a peek under the hood to help you begin.

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The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.

References to third-party services or organizations in this Guidance do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy the architecture.

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