Skip to main content

AWS Solutions Library

Guidance for Integrating Stonebranch Scheduler with AWS Mainframe Modernization

Overview

This Guidance demonstrates how the integration of Stonebranch UAC Scheduler with AWS Mainframe Modernization can help you accelerate your mainframe modernization journey by automating batch scheduling, increasing agility, improving maintenance, and decreasing costs. It shows how to integrate Stonebranch UAC Scheduler with AWS Mainframe Modernization for job scheduling and job submission. When you migrate or modernize your mainframe applications to the AWS Cloud using AWS Mainframe Modernization, this integration enables you to schedule and manage migrated batch jobs effectively for accelerated migration and seamless coordination between different processes.

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.

Download the architecture diagram

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.

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.

Read the Operational Excellence whitepaper 

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.

Read the Security whitepaper 

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.

Read the Reliability whitepaper 

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.

Read the Performance Efficiency whitepaper 

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.

Read the Cost Optimization whitepaper 

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.

Read the Sustainability whitepaper 

Disclaimer

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.