Are you unable to modernize legacy applications into a microservices-based architecture?
Still struggling to modernize your monoliths as cloud-native applications?
Are you finding it difficult to re-architect your monoliths before migrating them to cloud?
For most enterprises, migration to the Cloud is often seen as a business essential. By choosing to modernize legacy applications and transforming them into Cloud Native applications, you could strengthen your existing investments, while also reinforcing key business objectives.
What’s more, you could also realize several Cloud-specific benefits such as agility, flexibility, infinite elasticity and scalability.
At Hexaware, we action this application modernization process by undertaking the following clearly outlined steps
Reverse Engineering We completely decompose the legacy monolith application and extract the core business logic – proceeding to derive the key business rules and processes. As a part of this, we also extract the integration interfaces, data flows and workflows.
Architect and Design for the Cloud The information obtained from the above step is used to design the fundamental architecture of the new application, effectively leveraging the features of Cloud Native.
Development of Microservices The business logic is now developed as a set of microservices, powered by small, independent teams, with containerized deployment ensuring rapid delivery of new capabilities.
Management on the Cloud Finally, a complete range of management and monitoring services are provided, in order to reduce costs and deliver actionable insights on application behavior and performance on the Cloud.
At Hexaware, we collaborate with our customers in every step of the application modernization journey and ease the path of cloud adoption. We also help our customers achieve several benefits.
Components are developed specific to a customer’s technical stack, serving two purposes:
A Program / Project dashboard collecting the metrics of DevOps processes, aligned to Agile methodologies, bundling meaningful data from the ALMs and CI / CD tools.
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