Is your legacy heritage holding back your growth?
In today's dynamic IT landscape, the constraints of monolithic systems are more evident than ever. These legacy environments, defined by their tightly coupled components and inflexibility, create significant challenges for businesses striving for agility and faster time-to-market.
Here are 4 common challenges we are seeing when operating monolithic systems:
Monolithic systems are notorious for their lack of flexibility. Adding new features or modifying existing ones often requires extensive changes to the entire system. This rigidity hampers agility and makes it difficult to adapt to evolving business needs.
With monolithic architecture, deploying updates and introducing new functionality is a time-consuming process. The need for extensive regression testing and the risk of impacting other components within the monolith can lead to delayed releases and a sluggish time to market.
Making changes to a monolith system often involves significant development and testing efforts. This results in higher costs and longer turnaround times for addressing change requests from stakeholders or incorporating user feedback.
Customer dissatisfaction with monolithic systems arises from their scalability challenges, lack of flexibility, technical debt, poor user experience, single points of failure, and vendor lock-in. These issues often lead to performance problems, delayed updates, and higher downtime, frustrating customers.
Our approach, leveraging MACH (Microservices-based, API-first, Cloud-native, and Headless) principles, does not seek to disregard legacy systems; instead, it embraces them by incorporating an integration layer that sits atop the existing legacy APIs (Application Programming Interface). This integration layer comprises new APIs responsible for orchestrating and managing the legacy BSS (Business Support Systems) functions, effectively decoupling them from the front-end applications.
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We have been applying this approach across many organisations, and across many industry sectors. When approaching a new client, we usually organise the project in four phases:
Phase 1: Current landscape understanding and solution blueprinting.
Phase 2: Piloting on a subset of functionalities and A/B testing.
Phase 3: MVP (Minimum viable product) development, production ready.
Phase 4: Complete migration to the new infrastructure.
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