Big data-type analytics apps are another processing target for Model9’s ETL procedures. When the data is inside FlashBlade, a second Model9 product – called Gravity – can run Extract-Transform-and-Load (ETL) procedures against it to generate a subset for use in AI and machine learning applications running on non-mainframes – open systems servers in other words – again either on-premises or in the public cloud. Once the data is in the Pure system it is virtually air-gapped from the mainframe and, like all Model9 target systems, can be used for DR, ransomware recovery and archiving as well as backup. The joint Model9 and Pure Storage solution modernizes the mainframe with connectivity to open systems platforms, enabling modern, cloud-like economics and application workflows, and bringing a more effective data consumption model to enterprise customers.”
With this partnership, FlashBlade can be the on-premises device.Ĭhad Monteith – principal architect, field solutions & strategy, office of the CTO with Pure Storage – said: “Historically, mainframes have been isolated islands of data with limited connectivity to the services and applications in modern datacenters. Model9’s Shield product takes mainframe backup data, converts it to S3 object storage format, and then moves it to a target object storage device either on-premises or in the public cloud. Pure’s FlashBlade is a unified file and object all-flash storage array using QLC (4bits/cell) NAND with up to 1.9PB of raw capacity per chassis. Pure Storage’s FlashBlade has gained the ability to store mainframe backups – and make the data available for use in AI/ML and analytics applications – thanks to a partnership with Model9.
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