Persistent, IBM expand collaboration to help customers accelerate hybrid cloud adoption

Pune based information technology (IT) services company Persistent Systems and cloud computing giant IBM have deepened their collaboration to accelerate hybrid cloud adoption, core IT modernisation and digital transformation for customers across the enterprise.  

Last month, Persistent Systems announced joining IBM’s partner ecosystem to manage and modernise mission-critical workloads across hybrid cloud environments.  

Persistent will continue to invest in IBM technology that helps its customers adopt hybrid cloud architectures with Red Hat OpenShift, industry-specific clouds and advanced security practices, the company said in a BSE filing. 

Spanning more than 20 years, Persistent’s collaboration with IBM grew from a project in security to collaborating on more than 400 shared customers and experience across 50 IBM brands and 125 IBM products including IBM Cloud Paks.  

Persistent will continue to use IBM Security solutions like IBM Security QRadar SIEM in conjunction with its proprietary security operations centers (SOCs) to help customers modernise. 

“Our longtime collaboration with Persistent across industry sectors fuels our shared mission to help enterprises and their customers accelerate their digital transformations with Red Hat OpenShift. Together with Persistent, we’re delivering hybrid cloud and AI strategies that customers need to succeed in the marketplace,” Evaristus Mainsah, GM, IBM Hybrid Cloud and Edge Ecosystem, said. 

At Think 2021, IBM’s flagship technology conference, Persistent announced its intent to join IBM’s growing ecosystem of partners using IBM’s new Automation Foundation and IBM Cloud Paks for Automation to manage and modernise its mission-critical workloads across hybrid cloud environments.  

IBM Cloud Paks for Automation is an AI-powered portfolio designed to help customers streamline business processes, automate tasks based on data analysis and continuously improve workflows that run centrally, in networks, and at the edge.