Category: Amazon S3 Glacier

Mainframe proprietary storage solutions such as VTLs hold valuable data locked in a platform with complex tools. This can lead to higher compute and storage costs, and make it harder to retain existing employees or train new ones. When mainframe data is stored in a cloud storage service, however, it can be accessed by a rich ecosystem of applications and analytics tools. Model9 enables mainframe customers to backup and archive directly to AWS.

While modernizing customer mainframes, the team at AWS Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using AWS Blu Age automated transformation technology.

This is a guest post by Kelly Boeckman. Kelly is a Partner Manager at AWS who is focused on the Storage segment. Benjamin Franklin once famously said, “In this world nothing can be said to be certain, except death and taxes.” It’s worth noting, however, that Ben was living in the late 1700s, and was […]