Despite its long predicted demise, the mainframe remains a critical IT asset in many large enterprises. But ongoing reliance on the mainframe does not come without challenges.
We can work with you to offload key applications from the mainframe to a modern data platform, without impacting your core systems. The results? Faster innovation, improved customer experience, and reduced costs.
Every organization is reinventing itself as a digital business. Web, mobile, social, Artificial Intelligence, and Internet of Things applications are driving a deluge of new data. The volume, speed, and diversity of this data is overwhelming mainframe environments. Coupled with pressures to meet new regulatory demands and cut costs, CIOs are challenged in how quickly they can remake the business for digital, while trying to innovate on top of legacy technologies.
Mainframe offloading is the process of replicating commonly accessed mainframe data to an Operational Data Layer (ODL) built on MongoDB, against which operations are redirected from consuming applications. The existing mainframes are left untouched.
Cost: Redirecting queries away from the mainframe to the ODL significantly reduces costs. Even cutting just 20%-30% in MIPS consumption can save $ millions in mainframe operating costs.
Agility: An ODL built on a modern data platform helps developers build new apps and digital experiences 3-5x faster than the mainframe.
User Experience: Meet demands for exploding data volumes and user populations by scaling-out on commodity hardware, with self-healing replicas to maintain 24x7 service.
The Application Modernization Factory (AMF) from MongoDB Professional Services provides advisory consulting, program governance, and application lifecycle expertise – all cultivated from best practices developed with the world’s largest organizations.
We partner with your teams to accelerate the assessment, prioritization, and redesign of legacy apps, quantifying the economic value of change and providing a roadmap for delivery. We work with you through the offloading efforts of redevelopment, consolidation, and optimization, harnessing patterns and technologies such as agile and DevOps, microservices, and cloud computing, all aligned with MongoDB best practices.