Modernizing Legacy Application Estates

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.

Alight Solutions (formerly AON Hewitt) offloaded its Human Capital Services from the mainframe to MongoDB, improving application performance by 250x, reducing costs, and creating a platform for innovation.
To advance its digital banking initiatives, a global retail and investment banking group offloaded customer account information from its mainframes to an Operational Data Layer (ODL) built on MongoDB. The results: Reduced cost and risk, while enabling new digital banking initiatives that were just not possible on the mainframe.

Offloading from the Mainframe

What

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.

How

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.

Why

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.

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Why MongoDB?

Best way to work with data

MongoDB’s flexible document data model makes working with data intuitive, whether you’re building an app from scratch or updating an existing one.

  • Ease: Documents match objects in code, making it fast for developers to build new apps

  • Transactions: ACID guarantees maintain the data integrity enforced by mainframe systems

  • Versatility: Index and query data any way you want to support rich application functionality and user experience

  • Accessibility: MongoDB Stitch provides simple and secure API access from clients and microservices to your data

  • Synchronization: Any data changes can be automatically propagated between the mainframe and ODL as they happen

Intelligently put data where you need it

MongoDB lets you precisely control where data is placed globally so you can easily ensure fast performance anywhere and compliance with regulations.

  • Resiliency: Built-in redundancy and self-healing recovery ensure service continuity of offloaded apps

  • Scale: automatically scale out your ODL to meet growing data volumes and user loads

  • Isolation: Run operational apps and serve analytics, machine learning, and BI in real time – all on a single platform

  • Locality: Distribute your mainframe data globally to serve worldwide audiences and meet new industry regulations

Freedom to run anywhere

Complete deployment flexibility with seamless data migrations; build a ubiquitous data layer from mainframes to the public cloud & everywhere in between.

  • Portability: Run the same data platform everywhere – on-prem, in the cloud, or as a fully managed, elastic database service

  • Global Coverage: Deploy across the globe – or turn to MongoDB Atlas, our DBaaS, for coverage in ~60 regions on all the major cloud providers

  • No Lock-in: Get the benefits of a multi-cloud strategy and avoid vendor lock-in – or if you want, run MongoDB yourself on-prem

  • Ease: Documents match objects in code, making it fast for developers to build new apps

  • Transactions: ACID guarantees maintain the data integrity enforced by mainframe systems

  • Versatility: Index and query data any way you want to support rich application functionality and user experience

  • Accessibility: MongoDB Stitch provides simple and secure API access from clients and microservices to your data

  • Synchronization: Any data changes can be automatically propagated between the mainframe and ODL as they happen

With You Every Step of the Way

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.

Featured Resources

DOCUMENTATION

Mainframe Offload Reference Architecture

PRESENTATION

Legacy Modernization

DATASHEET

Application Modernization Factory

DATASHEET

MongoDB Multi-Document ACID Transactions