Guidance for Warm Standby Using AWS Mainframe Modernization Refactor with AWS Blu Age
Overview
This Guidance demonstrates how to achieve a lower recovery time objective (RTO) for mainframe workloads. Mainframes run mission critical enterprise workloads with stringent RTOs. The AWS Well-Architected Framework (WAF) provides prescriptive guidance on building highly resilient applications, helping you choose the right disaster recovery strategy based on RTO requirements.
Aligned to WAF, this Guidance integrates with AWS Mainframe Modernization and other AWS services to create a warm standby environment. This environment will be ready to fail over your business processes to a separate AWS Region, reducing RTO for high-priority workloads.
How it works
This architecture diagram shows how to implement a warm standby disaster recovery environment for a refactored application.
Well-Architected Pillars
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.
Operational Excellence
Amazon CloudWatch and Aurora provide real-time monitoring, customizable alerts, and anomaly detection. CloudWatch defines custom metrics and sets alarms for prompt response to performance issues. Aurora continuously monitors database health, generates events for failures or maintenance, and enables automated failover for disaster recovery, supporting operational excellence through proactive monitoring and automated actions.
Security
Aurora PostgreSQL supports encryption at rest using AWS Key Management Service (AWS KMS) and encryption in transit through SSL/TLS connections, protecting sensitive data. Instances are deployed within virtual private clouds (VPCs) with network security groups for access control. Aurora automatically applies security patches and updates, reducing exposure to known vulnerabilities.
Reliability
Multi-AZ deployment provides redundancy, high availability, and disaster recovery capabilities, mitigating risks of single points of failure. Route 53 ARC continuously monitors application health, detects failures, and automates recovery actions like traffic rerouting or failover initiation. This reduces recovery time and enhances operational resilience.
Performance Efficiency
Multi-AZ deployment enables horizontal scaling by adding instances or resources across AZs as demand increases. Aurora PostgreSQL uses a distributed, shared storage architecture that automatically scales compute and storage based on workload demands. This scalable architecture, combined with the ability to handle high throughput and large transaction volumes, allows you to optimize performance and meet varying workload requirements efficiently.
Cost Optimization
AWS Mainframe Modernization and Aurora offer pay-as-you-go pricing, meaning you only pay for the resources you consume, which eliminates upfront costs. Aurora's storage auto-scaling from 10 GB to 64 TB per instance optimizes utilization. This flexible pricing model allows you to scale resources up or down based on workload demands, minimizing unnecessary expenses from overprovisioning or underutilization.
Sustainability
Built on AWS's energy-efficient infrastructure with advanced cooling, efficient power distribution, and renewable energy sources, Aurora and AWS Mainframe Modernization minimize energy consumption. Aurora automatically scales compute and storage based on workload demands for efficient resource utilization and reduced wasted resources. This optimized resource allocation minimizes the environmental impact associated with excessive energy consumption and hardware provisioning.
Disclaimer
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