IBM Red Hat - Landscape-as-a-Service (SIMPLIFY SAP)
Devraj Bardhan, Global Leader - SAP Innovation, Global SAP CoC, IBM
About this talk
Transformation programs are using continuous innovation and agile delivery models embracing technical platforms facilitated by the shift to cloud. This is a step-change from the old waterfall approaches from the past. The technical SAP platforms running on cloud need to support this change with demands for speed, continuous availability, and assurance across the entire path to production landscape.
Gone are the days when we saw development or test systems as inferior to production. Today it is vital in embracing DevOps for SAP that the entire landscape exhibits optimised capabilities to ensure that the development teams are not constrained in speed, performance, or availability of the SAP solution landscape. Landscape refreshes can no longer take days, and new environments can longer be provisioned in 2-3 months--today the demands are for near real-time.
It is with this backdrop that IBM has brought to the market Landscape-as-a-Service for SAP. This is a next-generation SAP platform offering that embraces the power of Red Hat® Ansible® Automation, Red Hat Smart Management, and IBM AI in providing automated provisioning, landscape management, and operational practices such as availability, performance, and release management. It has been developed to support the new delivery models, as we orientate from ticket-based reactive managed solutions to continuously optimised platforms with zero disruption.
It has been designed in collaboration with our cloud partners, Microsoft, Amazon, Google, and IBM, for the landing zone architectures for HANA and non-HANA workloads. With services provided by IBM's SAP consulting practice with over 30 years in expertise in delivering SAP platform solutions, along with our partners Nordcloud, Taos, Red Hat, and from IBM's hybrid cloud practice, the offering reduces TCO by over 30% when compared to on-premise hosted solutions and over 50% in the delivery times for service delivery.