Guidance for Integrating Stonebranch Scheduler with AWS Mainframe Modernization
Overview
How it works
These technical details feature an architecture diagram to illustrate how to effectively use this solution. The architecture diagram shows the key components and their interactions, providing an overview of the architecture's structure and functionality step-by-step.
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
The native integration between AWS Mainframe Modernization and Amazon CloudWatch enables seamless capture and analysis of batch job logs from the Stonebranch Universal Controller. This capability facilitates proactive monitoring of the performance and health of migrated mainframe applications, enabling swift identification and resolution of issues or failures. By configuring alarms for batch job failures, you can take immediate action to address abends.
Security
Critical mainframe workloads are protected through the security features of AWS Mainframe Modernization. Stonebranch Universal Controller and its database reside on EC2 instances within private subnets, while AWS Identity and Access Management (IAM) policies manage user access and permissions. The IAM role helps ensure that only authorized services can invoke batch jobs, and the Stonebranch Universal Controller's role-based access controls allow for customized user experiences and limited unauthorized access to the infrastructure.
Reliability
The Stonebranch Universal Controller and its Universal Agent are deployed across multiple AZs to achieve high availability. Aurora, with its automatic replication and failover capabilities, helps ensure consistent and accessible batch job data, even in the event of a primary AZ outage. Route 53 routes traffic to the active Stonebranch Universal Controller components, maintaining the reliability of modernized workloads.
Performance Efficiency
AWS Mainframe Modernization has built-in autoscaling capabilities that optimize the performance of migrated mainframe batch jobs. CloudWatch monitors and alerts on performance deviations, enabling proactive issue resolution and helping ensure that modernized applications deliver the expected level of performance.
Cost Optimization
Migrating mainframe batch workloads to AWS Mainframe Modernization and the Stonebranch Universal Controller reduces the total cost of ownership (TCO). Running the scheduler on EC2 instances significantly lowers costs compared to mainframe scheduling software. AWS Mainframe Modernization optimizes costs by only charging for the resources needed, eliminating the overhead of maintaining a mainframe infrastructure.
Sustainability
AWS Mainframe Modernization and the Stonebranch Universal Controller running on EC2 instances contribute to a more sustainable future. Additionally, the elasticity and scalability of AWS Mainframe Modernization minimize environmental impact by optimizing resource utilization and reducing unnecessary provisioning.
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