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Author: Maheshkumar Kharade

Posted On Apr 13, 2015   |   1 min

Until recently, business applications of cloud Computing revolved around Infrastructure as a Service (IaaS) and Software as a Service (SaaS). But over last year or so, adoption of Platform as a Service (PaaS) is equally picking up its pace.

PaaS has started to emerge as an answer to these demands and MBaaS is a specialized term falling under the greater umbrella of PaaS. MBaaS i.e. – Mobile Backend as a Service, is a specialized form of PaaS for developing mobile apps. MBaaS has shown good potential for speeding up app development, with easier way of implementing and replicating backend services such as data connectivity, visualization, security etc. for cross platform mobile apps. At high level, most of the MBaaS platforms provide support for below components:

  • User Experience
  • Usage Analytics
  • Flexible and Extendable architecture
  • Identity management
  • Security
  • Data Integration
  • Platform Support

In my recent article, Choosing MBaaS for Your Enterprise App, published on Apps World blog site, I have summarized Harbinger Systems’ experiences and understanding by providing insights into some of key attributes and components to consider while selecting an MBaaS framework.
You can view the complete article here.

Forward-Deployed Engineering

Additional Perspectives on the FDE Model

Forward-deployed engineering is gaining attention as a way to bring engineers closer to customer problems and real-world implementation. Several organizations describe this model as a way to align engineering work with customer needs, systems, and workflows. Here are a few resources that offer additional perspectives on the FDE model:https://www.griddynamics.com/glossary/forward-deployed-engineering

https://miragemetrics.com/guides/forward-deployed-engineering

https://www.cognizant.com/us/en/glossary/forward-deployed-engineer

https://fde.academy/blog

About Harbinger Group

Harbinger Group is a global Advisory-Led Performance Enablement company. For more than three decades, we’ve partnered with organizations in the people business, helping Enterprises, B2B SaaS vendors, and Digital Publishers close the gap between where workforce and learning performance is today and where it needs to be.
We work across Workforce Technology and Digital Learning domains. In each, we diagnose the friction limiting performance first, then engineer the fix, combining strategic advisory with digital product engineering and eLearning content development to deliver solutions built around the workflows, metrics, and outcomes each workforce owns.
Our pedigree in product engineering and digital learning has built a culture of continuous learning. We apply technologies like Agentic AI where they deliver measurable performance gains for our customers not because they’re new, but because they close the gap.

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