Architectural Modernization

Architectural Modernization




Without modernizing the underlying architecture, it is impossible to fundamentally alter the behavior of the application. Modernizing the code or  UI might result in a few quick wins, but will do nothing towards resolving the constraints of monolithic architecture. Our architectural modernization services enable you to adopt modern architectural paradigms such as:

  • Event sourcing and orchestration using
  • CQRS by taking advantage of NoSQL
  • Microservices
  • Case Management for complex entities using Cafienne (an implementation of CMMN – Case Management Model and Notation)
  • Containerization

The end state application will be a reactive system that is flexible, loosely coupled, scalable, resilient, and responsive.

SecuRef, modernization with a safety net

SecuRef is a modernization strategy that is based on capturing functional and transactional event streams, comparing them to ensure that there is no mismatch, and recreating the application at any desired state. This strategy enables extraction of business logic into a separate layer, even from a monolithic application; in other words, transforming a 2-tier or a 3-tier into a reactive system.

What makes this approach unique is the fact that it is achieved without a code rewrite or refactoring, and leverages technology and functional expertise of the existing team. This strategy enables application modernization from inside out, in a modular manner and also makes it possible to use open technologies and low-code platforms.

SecuRef, modernization with a safety net

Constraints of monolithic code and tightly coupled architecture

App Modernization

Legacy software applications often have a monolithic code base with tightly-coupled architecture which are relatively easy to develop, test, and deploy. But, as they become large and complex, numerous drawbacks of monolithic applications become amply evident, such as:

Difficulty in maintaining code base: As the application becomes complex with a large monolithic code base, it becomes very difficult to understand, maintain and modify, especially for newer team members. This results in a natural downward spiral in terms of code quality. With a monolithic code base, it also becomes very difficult to scale the development organization.

Obstacles to incremental changes and frequent deployment: In the absence of modularity, even small changes will need a complete redeployment of the application. This obviously increases the risks associated with redeployment, discourages frequent updates, and either accumulates technology debt or delays important changes to the application. Most importantly, this prevents continuous deployment, which is one of the core application needs in the current business context.

Inability to scale: For applications with a monolithic architecture, scaling is possible only through running multiple instances of the application, which is a very inefficient way to handle transaction and data volumes. The tightly coupled architecture of legacy applications, doesn’t allow for separation of resource requirements (such as CPU, memory etc.), making it impossible to scale components independently.

Barriers to adoption of newer technology: One of the biggest constraints of applications with monolithic architecture, is that they are very often locked-into specific technology choices for a long time. Lack of modularity makes it even more difficult to adopt newer technologies (programming languages and frameworks), resulting in increasing obsolescence of these applications.

Functional Decomposition




A popular strategy to overcome challenges of monolithic architecture is by functional decomposition of the legacy application into a set of loosely-coupled, collaborating services. Functional decomposition enables you to adopt modern design paradigms such as user-centricity, domain-driven design, and platform thinking to decompose the application into functional services:

  • by business capabilities
  • by application’s business sub-domains
  • by use cases

It is ideal to define a service in such a way that it has a clearly defined functionality, with its own database, and which can be developed by a small 2-pizza team.

To learn more about our services, get in touch